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Marvell Investor Day 2026

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Marvell Investor Day 2026 — Marvell Technology's 161-slide investor day presentation (New York, October 6, 2026) positioning the company as a 'connectivity-first' AI infrastructure supplier and setting a new long-term outlook: FY28 revenue raised to $20B, FY29 custom silicon target raised to $12B+, and an FY31 revenue target of $70–90B with implied non-GAAP EPS above $30.

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Marvell
Marvell Technology
MRVL
Investor day
Investor day 2026

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説明

メイントピック

Marvell Investor Day 2026 — Marvell Technology's 161-slide investor day presentation (New York, October 6, 2026) positioning the company as a 'connectivity-first' AI infrastructure supplier and setting a new long-term outlook: FY28 revenue raised to $20B, FY29 custom silicon target raised to $12B+, and an FY31 revenue target of $70–90B with implied non-GAAP EPS above $30.

主な利点

  • •A complete real-world investor day: CEO strategy keynote, COO operating plan, five business-unit deep dives, and a CFO long-term financial model, followed by key terms and full GAAP-to-non-GAAP reconciliations
  • •Shows how a company re-states and raises prior targets on stage — the data center target walk from $15B (2024 AI Era event) to ~$18B (2025 Custom AI Day) to $20B pulled in a year early
  • •Strong examples of TAM storytelling: data center CAPEX (~$3T by CY30) narrowed to a ~$400B Marvell TAM split across interconnect, switching and storage, custom, and comms
  • •Clear technical explainer slides on AI networking — scale-in, scale-up, scale-out and scale-across reach diagrams, the memory wall, KV-cache growth, co-packaged optics and 3.2T optical DSP roadmaps
  • •A one-page long-term non-GAAP model (FY31 revenue $70–90B, gross margin 56–59%, operating margin 44–46%, 15% tax rate, FCF >36%) that is a clean template for any multi-year target slide
  • •Consistent dark design system — black backgrounds, translucent blue glass 3D renders, white sans-serif headlines and large single-number callouts

ターゲットオーディエンス

  • •Investors and analysts following Marvell, AI semiconductors, optical interconnect and custom ASICs
  • •Investor relations and corporate finance teams planning an investor day or capital markets day
  • •Semiconductor and infrastructure founders building a long-range growth narrative for fundraising
  • •Presentation designers looking for a dark, tech-forward investor deck reference
  • •Students and researchers studying AI data center networking, photonics and hyperscaler custom silicon

使用例

  • •Benchmarking the structure and pacing of a multi-speaker investor day agenda
  • •Building an analyst day deck that raises guidance and introduces a five-year target model
  • •Explaining TAM expansion and segment-level growth drivers to investors
  • •Teaching AI infrastructure connectivity concepts (scale-up vs. scale-out, CPO/NPO, coherent optics, XPU attach)
  • •Reusing the speaker-intro, section-divider and big-number callout layouts in a corporate strategy presentation

独自の価値提案

  • •One of the longest recent semiconductor investor day decks (161 slides) with every section from strategy to appendix intact
  • •Combines executive-level financial targets with genuinely technical product roadmaps (Ara 1.6T DSPs, 2nm 3.2T PAM and coherent-lite DSPs, COLORZ 1600, Photonic Fabric, 400T switching)
  • •Shows a 'before vs. updated' reveal technique across consecutive slides for targets and outlooks
  • •Original PDF plus an editable PowerPoint (PPTX) conversion for reuse

スライドページ (161)

レイアウト、主要コンテンツ、視覚要素を含む各スライドページの詳細ビュー。

ページ 1
title slide

Marvell Investor Day 2026 - Title

コンテンツ

Opening title slide for Marvell Investor Day, dated October 6, 2026.

レイアウト構造

Left-aligned logo, large stacked title and date on black; 3D glass tiles fanned out on the right

主要な視覚要素

  • •Marvell logo top left
  • •Large white 'INVESTOR DAY' title
  • •Fanned blue glass tiles with Marvell emblem
  • •Date line 'OCTOBER 6, 2026'
ページ 2
speaker intro

Ross Seymore, SVP Investor Relations

コンテンツ

Speaker introduction for Ross Seymore, SVP, Investor Relations, who opens the event.

レイアウト構造

Name and title left-aligned on black with glass tile cluster on the right

主要な視覚要素

  • •Large white speaker name
  • •Title subtitle
  • •Blue glass slab cluster
  • •Marvell logo
ページ 3
agenda / speaker list

Agenda

コンテンツ

Agenda listing speakers: Matt Murphy (Chairman and CEO), Chris Koopmans (President and COO), Sandeep Bharathi (President, Data Center Group), a break, then Xi Wang, Russ Esmacher, Dave Lazovsky, Will Chu, Dan Durn (EVP and CFO), and Q&A.

レイアウト構造

Title at left with a curved column of glass tiles; right-side list of circular headshots with names and titles separated by blue rules

主要な視覚要素

  • •Circular speaker headshots
  • •Names with job titles
  • •Cyan 'Break' and 'Q&A' entries
  • •Curving glass tile column
ページ 4
disclaimer

Basis of presentation

コンテンツ

Explains that financials follow Marvell's fiscal calendar (FY26 = Feb 2, 2025 to Jan 31, 2026) and that revenue is reported in Data Center and Communications and Other, with Data Center split into Interconnect, Switch and Storage, and Custom.

レイアウト構造

Title with two bold subheadings and bulleted text on the left; glass tile cascade on the right edge

主要な視覚要素

  • •Two subsections: Fiscal Year vs. Calendar Year; Revenue and addressable markets
  • •Square bullets in white text
  • •Cascading glass tiles on right
ページ 5
disclaimer

Forward-looking statements

コンテンツ

Standard safe-harbor disclaimer referencing risk factors in the Form 10-Q for the quarter ended August 1, 2026, filed with the SEC on August 28, 2026.

レイアウト構造

Title and two dense paragraphs on the left; glass tile cascade on the right

主要な視覚要素

  • •Two dense text paragraphs
  • •Large white heading
  • •Glass tile cascade
ページ 6
disclaimer

Non-GAAP financial measures

コンテンツ

Disclosure that certain measures are presented on a U.S. Non-GAAP basis, are not a substitute for GAAP, and are reconciled in the Appendix.

レイアウト構造

Title with four bullet points on the left; glass tile cascade on the right

主要な視覚要素

  • •Four square-bulleted statements
  • •Large white heading
  • •Glass tile cascade
ページ 7
speaker intro

Matt Murphy, Chairman and CEO

コンテンツ

Speaker introduction for Matt Murphy, Chairman and CEO, beginning the CEO keynote.

レイアウト構造

Name and title left-aligned on black with glass tile cluster on the right

主要な視覚要素

  • •Large white speaker name
  • •Title subtitle
  • •Blue glass slab cluster
  • •Marvell logo
ページ 8
photo / full-bleed image

Past Investor Day photo

コンテンツ

Full-bleed photo of a presenter on stage in a chandeliered ballroom in front of a MARVELL backdrop, with a projected slide titled 'Market forces' (data and bandwidth explosion, compute moving to the data, end-to-end security, power efficiency).

レイアウト構造

Full-bleed photograph with audience in foreground, stage and screen in midground

主要な視覚要素

  • •Speaker on stage
  • •Red MARVELL wall logo
  • •Projected 'Market forces' slide
  • •Audience and crystal chandeliers
ページ 9
mission / vision

Mission statement

コンテンツ

A framed older slide states the mission: 'We develop and deliver semiconductor solutions that move, store, process and secure the world's data faster and more reliably than anyone else.'

レイアウト構造

Centered framed screenshot of a prior slide over a dark blue-to-teal gradient

主要な視覚要素

  • •Framed legacy slide
  • •Bold key verbs move, store, process, secure
  • •Speed-light data center photo background
  • •Dark blue gradient surround
ページ 10
timeline

A strong point of view: 2018

コンテンツ

First in a series showing Marvell's industry forecasts over the years; the 2018 Investor Day slide on Artificial Intelligence shows cloud training/inference feeding enterprise, carrier and edge inference.

レイアウト構造

Title across top; one framed legacy slide at lower left with year label '2018' beneath, on blue gradient

主要な視覚要素

  • •Framed 2018 slide thumbnail
  • •Cloud/Enterprise/Carrier/Edge inference diagram
  • •Year label 2018
  • •Blue gradient background
ページ 11
timeline

A strong point of view: 2020

コンテンツ

Adds the 2020 slide 'Cloud: DPU market expansion' showing a shift from application-centric to data-centric workloads and a $22B data center compute TAM, with DPU applications such as SmartNIC, security and storage virtualization.

レイアウト構造

Stacked, overlapping framed slides stepping right; 2018 dimmed behind, 2020 highlighted

主要な視覚要素

  • •Stacked slide thumbnails
  • •Highlighted year label 2020
  • •$22B data center compute TAM callout
  • •DPU applications bullet list
ページ 12
timeline

A strong point of view: 2021

コンテンツ

Adds the 2021 slide 'The era of cloud-optimized silicon', moving from software on x86 (CPU) to heterogeneous computing (CPU, GPU, FPGA) to cloud-optimized silicon (compute, storage, networking, security, electro-optics).

レイアウト構造

Stacked overlapping slide thumbnails stepping right; 2021 highlighted, earlier years dimmed

主要な視覚要素

  • •Three-stage flow with arrows
  • •Blue block stack of Compute, Storage, Networking, Security, Electro-optics
  • •Highlighted year 2021
  • •Dimmed earlier slides
ページ 13
timeline

A strong point of view: 2024

コンテンツ

Adds the 2024 slide 'AI clusters with backend and frontend networks', showing AI server racks linked by a frontend network and a backend network in the data center.

レイアウト構造

Fourth overlapping framed slide, stepping right; 2024 highlighted

主要な視覚要素

  • •Network diagram with switches and server racks
  • •Frontend and backend network labels
  • •Highlighted year 2024
  • •Layered earlier slides dimmed
ページ 14
timeline

A strong point of view: 2025

コンテンツ

Adds the 2025 slide 'Modern XPU and XPU attach' showing XPU chiplet floorplans (HBM, SerDes, D2D, dense SRAM) with the banner 'Customization to achieve the highest performance per watt'.

レイアウト構造

Fifth overlapping framed slide at right completing the staircase timeline; 2025 highlighted

主要な視覚要素

  • •Chip floorplan diagrams in teal
  • •Blue banner 'Customization to achieve the highest performance per watt'
  • •Highlighted year 2025
  • •Five-slide cascade 2018-2025
ページ 15
strategy overview

Architecting the Marvell platform

コンテンツ

Marvell combines organic build with strategic M&A and integrates around one strategic direction: about $20B in acquisitions plus about $20B in subsequent investment equals about $40B invested in building and scaling the platform.

レイアウト構造

Three glass tiles in a row joined by plus and arrow, large tagline below, full-width gradient banner with the investment math

主要な視覚要素

  • •Three 3D glass tiles: Build organically, Strategic M&A, Integrate + invest
  • •Large '~$40B' callout
  • •Blue-to-teal banner with ~$20B + ~$20B
  • •Footnote defining subsequent investment
ページ 16
process / flow diagram

AI workloads are reshaping the network

コンテンツ

Reasoning models, agentic AI, mixture of experts and inference at scale drive more data movement and more diverse workloads, creating greater connectivity demands; moving data efficiently is becoming a fundamental constraint on AI system performance.

レイアウト構造

Left stack of four labeled bars flows via arrows into two glass boxes, with a full-width takeaway statement below

主要な視覚要素

  • •Four workload bars
  • •Two arrow-linked glass boxes with icons
  • •Bold takeaway sentence
  • •Dark blue-teal gradient
ページ 17
customer quotes / testimonials

Hyperscalers rearchitecting their networks

コンテンツ

Four quotes from AWS (May 2026), Google Cloud (April 2026), Meta (August 2026) and Microsoft (August 2026) stress that the network is a critical path, concluding 'It's all about connectivity'.

レイアウト構造

Four equal columns with company name, highlighted quote and date, topped by a full-width gradient banner

主要な視覚要素

  • •Four quote columns with teal highlighted phrases
  • •Company names and dates
  • •'It's all about connectivity' banner
  • •Vertical divider lines
ページ 18
comparison

Connectivity is the next defining unlock (1)

コンテンツ

Compares compute-first and memory-first peers using approximate revenue split bars for Company A, B and C: compute-first companies derive only a small connectivity slice, and memory-first companies are all memory.

レイアウト構造

Two side-by-side panels, each with three bars and labels

主要な視覚要素

  • •Compute-first panel with stacked bars
  • •Memory-first panel with solid green bars
  • •Anonymized Company A/B/C labels
  • •Footnote: approximate revenue split
ページ 19
comparison

Connectivity is the next defining unlock (2)

コンテンツ

Adds a highlighted third panel for Marvell as 'Connectivity-first', whose revenue split is predominantly connectivity versus a smaller compute share, while the peer panels are greyed out.

レイアウト構造

Two greyed panels at left, bright blue Marvell panel at right with single stacked bar

主要な視覚要素

  • •Greyed compute-first and memory-first panels
  • •Highlighted Marvell panel with logo
  • •Single stacked bar Connectivity vs Compute
  • •Approximate revenue split footnote
ページ 20
data visualization

Marvell is a different kind of AI company

コンテンツ

FY26 total revenue of $8.2B is split 70% connectivity and 30% compute, shown as a donut across Interconnect, Switch and storage, Custom, and Comms and other.

レイアウト構造

Large panel with the Marvell revenue-split bar at left, arrow to a labeled donut chart at right

主要な視覚要素

  • •Donut chart with 30% compute / 70% connectivity centre
  • •Segment callouts with icons
  • •FY26 total revenue $8.2B headline
  • •Connectivity-first stacked bar
ページ 21
diagram / framework

Marvell connects AI infrastructure across every distance (scale-out)

コンテンツ

Four connection tiers by reach: scale-across (distributed DCs, up to 1,000km), scale-out (data center, up to 2km), scale-up (rack/multi-rack, up to 50m) and scale-in (package, up to 100mm); fiber optics covers the longer tiers and copper the shorter, with the copper/optics boundary shown between scale-out and scale-up.

レイアウト構造

Four tiles across a horizontal timeline with an orange divider marker, color bars for fiber and copper below, and a section tab at top right

主要な視覚要素

  • •Four tiles with distance values
  • •Orange divider slab with arrow
  • •Fiber optics and Copper bars
  • •Interconnect / Switch and storage / Custom tab
ページ 22
diagram / framework

Marvell connects AI infrastructure across every distance (scale-up)

コンテンツ

Same four-tier distance framework; the optics/copper divider shifts to between scale-up (up to 50m) and scale-in (up to 100mm), extending the fiber optics bar across three tiers with copper limited to scale-in.

レイアウト構造

Same four tiles and timeline as the previous page, with divider moved right and fiber bar widened

主要な視覚要素

  • •Divider moved to scale-up/scale-in boundary
  • •Widened Fiber optics bar
  • •Short Copper bar
  • •Section tab with Interconnect highlighted
ページ 23
diagram / framework

Marvell connects AI infrastructure across every distance (all optics)

コンテンツ

Final step of the framework: the divider moves past package-level scale-in (up to 100mm) so fiber optics spans all four tiers, from 100mm to 1,000km.

レイアウト構造

Same four tiles; fiber optics bar spans the full width and the divider sits at the far right edge

主要な視覚要素

  • •Full-width Fiber optics bar
  • •Divider at far right
  • •All four tiles in blue
  • •Interconnect tab highlighted
ページ 24
comparison

One switching foundation for scale-out and up

コンテンツ

Scale-out switch is proven at hyperscale (connecting AI clusters across pods, high-radix ethernet, multiple generations deployed); scale-up switch is a new opportunity (connecting accelerators within pods, every major protocol, copper to integrated optics).

レイアウト構造

Two side-by-side panels with bold headings, cyan subheadings and bullets, with a data center photo at left and a rack photo at right

主要な視覚要素

  • •Scale-out and Scale-up switch panels
  • •Rack and data hall imagery
  • •Cyan 'Proven at hyperscale' / 'New opportunity' labels
  • •Switch and storage tab highlighted
ページ 25
product portfolio

Unmatched leadership in storage and memory

コンテンツ

Merchant products (Dense SRAM, DRAM/memory expansion with memory controllers/CXL, Flash with NAND controllers, Hard drives with HDD controllers) combine proven IP and decades of expertise into custom AI infrastructure for hyperscaler-specific designs.

レイアウト構造

Left table of four product rows, center 'Proven IP + decades of expertise' block, arrow to right panel for custom solutions

主要な視覚要素

  • •Four-row product table
  • •Center expertise block with arrow
  • •Custom AI infrastructure panel
  • •Switch and storage tab highlighted
ページ 26
diagram / framework

Dramatically expanding custom opportunity

コンテンツ

The custom opportunity is expanding around the XPU through attach products (NIC, storage, security, memory expansion, near-memory compute, inference accelerator, management co-processor); multiple strategic agreements, custom silicon now shipping to the top four hyperscalers, and XPU attach is semi-custom.

レイアウト構造

Hub-and-spoke diagram with central XPU chip at left, three key statements stacked at right

主要な視覚要素

  • •Central XPU chip icon
  • •Seven attach tiles with icons
  • •Three statement lines
  • •Custom tab highlighted in gold
ページ 27
key metric / KPI

Custom revenue is accelerating (prior target)

コンテンツ

The prior FY29 custom target of $10B, representing more than 2x growth in FY29 versus FY28.

レイアウト構造

Single teal card on the left with glass diamond callout and growth multiple, empty black space at right

主要な視覚要素

  • •Glass diamond with $10B
  • •'>2x FY29 vs. FY28' text
  • •Teal card on black
  • •Title heading
ページ 28
before / after comparison

Custom revenue is accelerating (updated target)

コンテンツ

The FY29 custom target is raised from $10B (>2x) to $12B+ (>3x FY29 vs. FY28), with the old target dimmed beside the highlighted 'Updated' card.

レイアウト構造

Two side-by-side cards: dimmed prior target at left, bright blue updated target at right

主要な視覚要素

  • •Dimmed $10B card
  • •Bright blue $12B+ card
  • •'Updated' label
  • •'>3x FY29 vs. FY28' callout
ページ 29
data visualization

Data center CAPEX drives long-term growth (data center TAM)

コンテンツ

CY30 data center CAPEX of about $3T (~35% CAGR CY25-CY30) leads to accelerated compute TAM of about $1.6T (~48% CAGR) and Marvell data center TAM of about $385B (~50% CAGR); source is industry estimates.

レイアウト構造

Three cards left to right linked by arrows, final card larger with a glass diamond

主要な視覚要素

  • •Three arrow-linked cards: ~$3T, ~$1.6T, ~$385B
  • •CAGR figures under each
  • •Glass diamond highlight for ~$385B
  • •Source footnote
ページ 30
data visualization

Data center CAPEX drives long-term growth (total TAM)

コンテンツ

Marvell data center TAM (~$385B, ~50% CAGR) plus Comms and other TAM ($15B, ~3% CAGR) combine into a $400B Marvell total TAM in CY30 with ~45% CAGR CY25-CY30.

レイアウト構造

Dimmed two-component panel at left, arrow to large highlighted glass diamond at right

主要な視覚要素

  • •Dimmed ~$385B and $15B diamonds
  • •Large teal glass diamond '$400B'
  • •~45% CAGR callout
  • •Source footnote
ページ 31
financial table

Growth across the stack

コンテンツ

Table of CY25-CY30 TAM CAGR and CY30 TAM: Interconnect ~65% / ~$65B, Switching and storage ~40% / ~$85B, Custom ~55% / ~$235B, Comms and other ~3% / ~$15B, total ~45% / ~$400B.

レイアウト構造

Five rows plus total row with columns for TAM CAGR, growth drivers with arrows, and TAM

主要な視覚要素

  • •Row-based table with blue panels
  • •Arrows linking CAGR to drivers
  • •Highlighted green TOTAL row
  • •Source footnote
ページ 32
data visualization

Our growth continues to accelerate

コンテンツ

Total revenue grows from $8.2B in FY26 to $12B in FY27E (47% YoY) to $20B in FY28E (50% YoY at this stage).

レイアウト構造

Three-bar column chart with circular YoY bubbles between bars and large value labels

主要な視覚要素

  • •Bars for FY26, FY27E, FY28E
  • •47% and 50% YoY circles
  • •Gradient connecting areas
  • •Total revenue legend
ページ 33
data visualization

Our growth continues to accelerate (updated FY28)

コンテンツ

Same chart updated: FY28 growth is now 67% YoY and the $20B figure is called out as the FY28 updated revenue outlook.

レイアウト構造

Same bar chart at left with a large glass diamond callout at right

主要な視覚要素

  • •Bars $8.2B, $12B, $20B
  • •67% YoY bubble
  • •Glass diamond '$20B'
  • •'FY28 updated revenue outlook' label
ページ 34
historical data / timeline

2024 | A bold data center target

コンテンツ

At the 2024 AI Era Event, Marvell set a FY29E data center revenue target of $15B versus $2.2B in FY24.

レイアウト構造

Two-bar chart with a rising gradient wedge, gold ribbon label at top left

主要な視覚要素

  • •Gold ribbon '2024 AI Era Event'
  • •Bars $2.2B (FY24) and $15B (FY29E)
  • •Gold gradient wedge
  • •Data center revenue legend
ページ 35
historical data / timeline

2025 | Raising the data center target

コンテンツ

At the 2025 Custom AI Day, the FY29E data center revenue target was raised to about $18B versus $2.2B in FY24.

レイアウト構造

Same two-bar chart in blue with a blue ribbon label

主要な視覚要素

  • •Blue ribbon '2025 Custom AI Day'
  • •Bars $2.2B and ~$18B
  • •Blue gradient wedge
  • •Data center revenue legend
ページ 36
data visualization

Today | Data center target pulled in one year early

コンテンツ

At Investor Day 2026, total revenue of $20B in FY28E (updated outlook) is shown next to the ~$18B data center target previously set for FY29E, with an arrow pulling the target earlier.

レイアウト構造

Bars for FY24, FY28E and FY29E with a leftward arrow between the last two

主要な視覚要素

  • •Cyan ribbon 'Investor Day 2026'
  • •$20B total revenue bar and ~$18B data center bar
  • •Left-pointing arrow
  • •Legend for total revenue and data center
ページ 37
data visualization

Today | Data center target pulled in one year early (CAGR)

コンテンツ

Data center revenue is shown growing from $2.2B in FY24 to about $18B in FY28E (updated outlook), a roughly 70% data center CAGR.

レイアウト構造

Two-bar chart with gradient wedge and a central CAGR bubble

主要な視覚要素

  • •Bars $2.2B and ~$18B
  • •~70% DC CAGR bubble
  • •Cyan Investor Day 2026 ribbon
  • •Rising gradient wedge
ページ 38
data visualization

Setting our long-term outlook

コンテンツ

Revenue outlook: FY26 $8.2B (data center $6.1B), FY28E $20B (~$18B data center, ~70% DC CAGR), FY31E $70-90B with data center $67.5-87.5B (55-70% DC CAGR) and $2.5B comms and other.

レイアウト構造

Three stacked bars (data center plus comms and other) with CAGR bubbles and an axis break on the FY31E bar

主要な視覚要素

  • •Stacked bars FY26, FY28E, FY31E
  • •$70-90B headline
  • •CAGR bubbles ~70% and 55-70%
  • •Axis break wave on tall bar
ページ 39
key metric / KPI

Marvell long-term revenue target

コンテンツ

Total revenue grows from $8.2B in FY26 to a FY31E target of $70-90B, a 55-60% FY26-FY31 revenue CAGR.

レイアウト構造

Two-bar chart at left with gradient wedge; two glass diamond callouts stacked at right

主要な視覚要素

  • •Bars FY26 and FY31E with axis break
  • •Glass diamond '$70-90B'
  • •Glass diamond '55-60%'
  • •Total revenue legend
ページ 40
financial table

What underpins the long-term outlook

コンテンツ

By business, FY26-FY31 revenue CAGR: Interconnect 60-70% (~$37.5B), Switching and storage 40-50% (~$10B), Custom 75-85% (~$30B), Comms and other >3% (~$2.5B); total 55-60% yielding $70-90B, against TAM CAGRs of ~65%, ~40%, ~55%, ~3% and ~45%.

レイアウト構造

Table with TAM CAGR, revenue CAGR, growth drivers and implied midpoint revenue, plus a tall gradient callout for the FY31 target

主要な視覚要素

  • •Rows for four businesses plus total
  • •Arrows from TAM CAGR to revenue CAGR
  • •Gradient '$70-90B' callout
  • •Growth driver text column
ページ 41
conclusion / summary

Why invest in Marvell?

コンテンツ

Summary of investment highlights: $400B CY30 TAM forecast, $20B FY28 updated total revenue outlook, $12B+ FY29 updated custom revenue target, $70-90B FY31 total revenue outlook, and an EPS item left as an ellipsis; 'Trusted by the world's AI infrastructure leaders'.

レイアウト構造

Row of five check-marked cards across the top, bold tagline in the middle, glass tile arc along the bottom

主要な視覚要素

  • •Five check-marked metric cards
  • •EPS card with ellipsis placeholder
  • •Bold tagline
  • •Glass tile arc
ページ 42
speaker intro

Chris Koopmans, President and COO

コンテンツ

Speaker introduction for Chris Koopmans, President and COO.

レイアウト構造

Name and title left-aligned on black with glass tile cluster on the right

主要な視覚要素

  • •Large white speaker name
  • •Title subtitle
  • •Blue glass slab cluster
  • •Marvell logo
ページ 43
section divider / agenda

Scaling the company to meet the opportunity

コンテンツ

Three focus areas for scaling: Customers, Team | Process | Systems, and Supply chain.

レイアウト構造

Three overlapping diamond-shaped glass tiles in a row with icons and labels

主要な視覚要素

  • •Three glass diamonds
  • •Handshake, people and chain icons
  • •Blue-to-teal gradient background
  • •Heading across top
ページ 44
section divider

Scaling the company: Customers

コンテンツ

Section highlight on Customers, with the other two pillars (Team | Process | Systems, Supply chain) dimmed.

レイアウト構造

Same three diamonds with the left one illuminated

主要な視覚要素

  • •Highlighted Customers diamond
  • •Dimmed Team and Supply chain diamonds
  • •Handshake icon
  • •Same gradient background
ページ 45
data visualization

AI buildout continues at massive scale and speed (2025)

コンテンツ

2025 Custom AI Day view of total data center CAPEX: $593B in CY25 growing to $1T in CY28 at a 20% CAGR.

レイアウト構造

Two-bar chart with gradient wedge, CAGR bubble and cyan ribbon label

主要な視覚要素

  • •Cyan ribbon '2025 Custom AI Day'
  • •Bars $593B and $1T
  • •20% CAGR bubble
  • •Source footnote
ページ 46
data visualization

AI buildout continues at massive scale and speed (2026 update)

コンテンツ

Investor Day 2026 update: total DC CAPEX is $711B in CY25 (updated) and $1.2T in CY26 (updated), up 73% YoY, pulling the earlier $1T forecast forward.

レイアウト構造

Two-bar chart with YoY bubble and a left-pointing arrow

主要な視覚要素

  • •Cyan ribbon 'Investor Day 2026'
  • •Bars $711B and $1.2T
  • •73% YoY bubble
  • •Left-pointing arrow
ページ 47
data visualization

AI buildout continues at massive scale and speed (CY30)

コンテンツ

Total DC CAPEX grows from $711B in CY25 (updated) to $3.1T in CY30, a 35% CAGR.

レイアウト構造

Two-bar chart with axis break on the tall bar and a CAGR bubble

主要な視覚要素

  • •Bars $711B and $3.1T
  • •35% CAGR bubble
  • •Axis break wave
  • •Source footnote
ページ 48
data visualization

Large hyperscale data centers driving majority

コンテンツ

Top 10 hyperscalers account for over 60% of the $711B CY25 DC CAPEX and over 70% of the $3.1T CY30 total, growing at a 40% CAGR versus 35% overall.

レイアウト構造

Stacked two-bar chart with top-10 and all-others segments and two CAGR bubbles

主要な視覚要素

  • •Stacked bars: Top 10 hyperscalers vs All others
  • •>60% and >70% share labels
  • •40% and 35% CAGR bubbles
  • •Source footnote
ページ 49
comparison / partnership model

Focus on large customers, deep partnerships

コンテンツ

Hyperscalers own the workload, data center and system architecture (data center operations, system development, workload management) while Marvell is the core IP partner (advanced node silicon and packaging, high speed analog mixed signal connectivity IP, optical connectivity system-level design), joined by 'Extreme co-design'.

レイアウト構造

Two columns (teal for hyperscalers, blue for Marvell) with three rows each, joined by a central glass puzzle tile

主要な視覚要素

  • •Central glass puzzle-piece tile
  • •Three teal rows with icons at left
  • •Three blue rows with icons at right
  • •'Extreme co-design' label
ページ 50
diagram / spectrum

Marvell customer journey spans full platform

コンテンツ

The customer spectrum runs from merchant to custom: off-the-shelf system, custom system with standard silicon, semi-custom silicon, and full custom silicon, with a diverse product portfolio at every customer.

レイアウト構造

Four icon columns in a gradient band above a double-ended Merchant-to-Custom arrow and a bold takeaway

主要な視覚要素

  • •Four icons: OEM gear and chip variants
  • •Double-ended arrow Merchant to Custom
  • •Bold takeaway line
  • •Teal-to-blue gradient band
ページ 51
partners / customers

Cementing strategic partnerships

コンテンツ

Marvell cites strategic partnerships with AWS, NVIDIA and Google, described as long term, portfolio-wide and multi-generational.

レイアウト構造

Centered title, three partner logos, divider and tagline over an arc of glass slabs along the bottom

主要な視覚要素

  • •AWS, NVIDIA and Google logos
  • •Tagline in bold
  • •Glass slab arc
  • •Centered title
ページ 52
section divider

Scaling the company: Team | Process | Systems

コンテンツ

Section highlight on Team | Process | Systems, with Customers and Supply chain dimmed.

レイアウト構造

Three diamonds with the middle one illuminated

主要な視覚要素

  • •Highlighted center diamond
  • •People icon
  • •Dimmed Customers and Supply chain
  • •Gradient background
ページ 53
key metric / KPI

Scaling engineering to meet opportunity

コンテンツ

Investing ahead of the data center opportunity: Non-GAAP R&D of $1.5B against data center revenue of $2.2B in FY24, leading to about 4X data center revenue growth (based on annualized FY27 Q2 data center revenue).

レイアウト構造

Teal feature tile at left with icon and headline, metrics and arrow to a large ~4X callout at right

主要な視覚要素

  • •Teal glass feature tile with growth icon
  • •$1.5B and $2.2B metric pair
  • •Arrow to ~4X callout
  • •Footnote on annualized FY27 Q2 revenue
ページ 54
infographic / summary

Building the company for the long term

コンテンツ

Talent pipeline investments: research funding across 5 countries and 14 universities, curriculum in analog design, physical design and design for test, 200+ scholarships at 50+ universities, and more than 500 internships annually with the majority converting; 'Marvell has become a premier destination for talent'.

レイアウト構造

Four columns of glass-tile icons with captions above a bold concluding statement

主要な視覚要素

  • •Four glass tiles with icons (school, classroom, graduation cap, intern)
  • •Research funding, Curriculum, Scholarships, Internships headings
  • •Bold concluding statement
  • •Dark background
ページ 55
product overview

Embracing AI to accelerate silicon engineering

コンテンツ

Introduces the Marvell Design Assistant, a proprietary in-house AI design tool, with two benefits: faster ramp to impact for new engineers (day one to full speed) and faster chip design (concept to production).

レイアウト構造

Title on top; two glass panels flanking a central blue diamond; full-width takeaway line beneath a divider.

主要な視覚要素

  • •Central 3D glass diamond labeled Marvell Design Assistant
  • •AI + speedometer and AI + chip icons
  • •Tagline: Built on decades of Marvell expertise, engineered to scale
ページ 56
timeline

Cloud-first design engineering mindset drives scale

コンテンツ

Three-stage timeline of cloud EDA adoption: 2023 first announcement, 2024-2025 optimized end-to-end flow, 2026 broad adoption with ~80% of EDA infrastructure in the cloud.

レイアウト構造

Three vertical columns separated by thin dividers, each with a year, label, icon and glass platform.

主要な視覚要素

  • •EDA cloud icons
  • •Gear with bar chart icon
  • •Large ~80% callout
  • •Glass platforms in blue to teal
ページ 57
section divider

Scaling the company to meet the opportunity

コンテンツ

Agenda-style tracker with three themes: Customers, Team | Process | Systems, and Supply chain; the Supply chain diamond is highlighted as the current topic.

レイアウト構造

Three overlapping glass diamonds in a row with the active one lit and the others dimmed.

主要な視覚要素

  • •Three glass diamonds
  • •Handshake, people and chain-link icons
  • •Highlighted Supply chain diamond
ページ 58
process diagram

Supply chain excellence at scale

コンテンツ

Equation graphic: Relationship + Track record + Investment = Results, all feeding a Business Intelligence Platform.

レイアウト構造

Horizontal parallelogram banner split into four segments joined by plus and equals signs, with a caption below a divider.

主要な視覚要素

  • •Teal-to-blue parallelogram segments
  • •Handshake, checkered flags, currency-cycle and growth-chart icons
  • •Plus and equals circles
ページ 59
conclusion

Scaling for growth

コンテンツ

Four pillars: building for the long term, deep customer relationships, talent pipeline, and supply chain relationships built on trust, concluding with 'World-class team ready to deliver'.

レイアウト構造

Centered title, four equal cards in a row, closing statement, and glass tiles across the bottom.

主要な視覚要素

  • •Four gradient blue cards with icons
  • •Graduation cap and chain icons
  • •Fanned 3D glass tiles at bottom
ページ 60
speaker intro

Sandeep Bharathi, President, Data Center Group

コンテンツ

Speaker introduction for Sandeep Bharathi, President, Data Center Group.

レイアウト構造

Left-aligned logo, name and title on black; 3D glass slabs on the right edge.

主要な視覚要素

  • •MARVELL logo top left
  • •Large white speaker name
  • •Blue glass slabs at right
ページ 61
comparison

2020 vision | Data infrastructure silicon provider

コンテンツ

The 2020 starting point across three rows: Process (fast follower, 16nm/12nm), Architecture (medium-size chips, ~200mm2) and Design (28G SerDes for Wi-Fi, storage), each pivoting to a goal such as best IP on first shuttle and SerDes building blocks for data centers.

レイアウト構造

Three horizontal bands, each with an icon, label, arrow, image and target statement; source note at bottom.

主要な視覚要素

  • •Wafer and chip-layout images
  • •Eye-diagram scope capture showing 28G/56G/112G/224G
  • •Gradient arrows between current and target state
ページ 62
comparison

2026 | Delivered and proven at every step

コンテンツ

Compares 2020 with 2026: first-to-node 5nm to 3nm to 2nm to 14A with 100% A0-to-production, chips above 850mm2 (T100 Switch IC, 10+ products above 600mm2), and 400G SerDes at 2nm with a 480 Gbps demo.

レイアウト構造

Same three-row layout as the 2020 slide, with 2020 greyed out on the left and 2026 results on the right.

主要な視覚要素

  • •T100 Switch IC die image
  • •480 Gbps eye diagram
  • •Node progression 5nm to 14A
ページ 63
data visualization

AI tokenomics is a connectivity challenge

コンテンツ

Chart of cost per million output tokens against performance, with an orange curve shifting to a teal one; tokenomics drivers are bandwidth, latency, power and reach/distance, and the conclusion is that AI is no longer only a silicon problem but a data center connectivity challenge.

レイアウト構造

Chart on the left with axes and a drivers list; two callout boxes with arrows on the right.

主要な視覚要素

  • •Two curves with shift arrow
  • •XPU chip icon
  • •Data center building icon
  • •Footnote defining Performance as tokens per user per second
ページ 64
comparison

Memory wall stalls compute

コンテンツ

Contrasts an ideal world of infinite memory, uniform latency and high bandwidth with the real-world memory wall where XPUs are limited by HBM and DRAM.

レイアウト構造

Two columns split by a divider: ideal XPU-memory grid on left, XPU/HBM/DRAM diagrams on right, bold takeaway below.

主要な視覚要素

  • •Grid of XPUs connected to memory blocks
  • •XPU with HBM stack and dotted memory-wall line
  • •DRAM modules
ページ 65
product overview

Crossing the memory wall

コンテンツ

Memory as a shared resource: memory controllers, CXL technologies, photonic interconnects and power-efficient silicon map to memory access, expander, fabric and memory on a chip; goal is rearchitecting systems to bring memory closer over scale-up fabric.

レイアウト構造

Two-column table list in the center with product renders on the right and a faded brain/chip image on the left.

主要な視覚要素

  • •Two-column capability-to-function list
  • •Chip and memory product renders
  • •Glowing brain-on-chip background
ページ 66
comparison

Optics enables multi-rack, scale-up domains

コンテンツ

Copper today limits scale-up to 1 rack and up to 144 XPUs; optical tomorrow spans racks with 1000+ XPUs and no limit; scale-up is >85% of AI data center traffic (internal company estimates).

レイアウト構造

Left-to-right transition from Copper through The limit to Optical, with data center photos at each end and a bold conclusion.

主要な視覚要素

  • •Single rack photo versus row of racks
  • •Copper bar as the limit marker
  • •Copper-to-optical arrows
ページ 67
product overview

Breaking the copper wall with photonics

コンテンツ

Shows a 3D integrated silicon photonics light engine and six optical technology options: MZM/TFLN, MRM, EAM, uLED, uVCSEL, and plasmonics/SiPho, each tied to a reach or density use case.

レイアウト構造

Top banner with cross-section image and labels; row of six icon cards beneath; bold takeaway.

主要な視覚要素

  • •Cross-section of 3D light engine
  • •Six glass tiles with technology icons
  • •Labels Electronics, Photonics, Substrate
ページ 68
overview

Common technology foundation

コンテンツ

Four shared technology pillars: photonics, advanced node and process, analog mixed signal, advanced packaging, all underpinning connectivity across every reach.

レイアウト構造

Four equal cards over a teal horizontal band with a double-headed arrow.

主要な視覚要素

  • •Four dark cards with white icons
  • •Teal gradient band
  • •Double-headed arrow reading Connectivity across every reach
ページ 69
comparison

Going beyond CMOS

コンテンツ

Old world is silicon CMOS only; new world is heterogeneous integration of CMOS, SiGe, InP, SiPho, TFLN and plasmonics co-integrated in system and package, shown as a light engine; claims fully integrated, process agnostic, foundry ready.

レイアウト構造

Left narrow panel for old world; right wide panel with a 3x2 grid of material tiles and a package render.

主要な視覚要素

  • •Wafer photos per material
  • •Light engine package render
  • •Blue and cyan header bars
ページ 70
overview

Analog mixed signal powers data movement engine

コンテンツ

Three levels of data movement: chip I/O, die-to-die and complex systems, supported by 400G per lane on a leading node, 8x growth in data rate in 6 years, IP plus silicon, and end-to-end electrical and optical I/O.

レイアウト構造

Three colored panels on top, four outlined stat boxes in a row beneath, closing statement.

主要な視覚要素

  • •XPU chip with I/O lines
  • •Chiplet die-to-die diagram
  • •XPU hub-and-spoke diagram (NIC, storage, security, memory)
  • •Four outlined stat boxes
ページ 71
roadmap

Packaging innovation for photons and electrons

コンテンツ

Package evolution from 2D with 1 die, 2D with 2 die, 2.5D and 3.5D with more than 8 die, to CPO (co-packaged optics), under the theme of full integration and co-design to scale in volume.

レイアウト構造

Five exploded package renders in a row with labels and die counts underneath.

主要な視覚要素

  • •Exploded isometric package renders
  • •Component callouts like Lid, Silicon, Substrate, Interposers
  • •Die counts 1, 2, >8, >8
ページ 72
conclusion

Industry-leading core technology

コンテンツ

Three checked pillars: process and packaging, IP and architecture, and system-level solutions, summarized as proven execution, deployed at scale.

レイアウト構造

Three cards with check badges, each with imagery; closing statement above glass tiles at bottom.

主要な視覚要素

  • •Check-mark badges
  • •Wafer and package images
  • •System hub diagram
  • •Fanned glass tiles
ページ 73
conclusion

Tokenomics is physics

コンテンツ

Closing statement for the section: Marvell is the trusted and undisputed leading solution provider.

レイアウト構造

Centered title and bold statement on black with glass tiles along the bottom.

主要な視覚要素

  • •Large centered title
  • •Divider line
  • •Fanned blue glass tiles
ページ 74
speaker intro

Xi Wang, SVP and GM, Connectivity Business

コンテンツ

Speaker introduction for Xi Wang, SVP and GM, Connectivity Business.

レイアウト構造

Left-aligned logo, name and title on black; glass slabs on the right edge.

主要な視覚要素

  • •MARVELL logo
  • •Large white speaker name
  • •Blue glass slabs
ページ 75
product overview

The broadest end-to-end AI connectivity portfolio

コンテンツ

Marvell as a connectivity-first company across four reaches: scale-across up to 1,000km, scale-out up to 2km, scale-up up to 50m, and scale-in up to 100mm, with products such as coherent modules, PAM DSP, ACC/NPO/CPO and optical I/O chiplet.

レイアウト構造

Four cards with distances, a connected timeline of reach categories, and product lists below each; scale-out highlighted.

主要な視覚要素

  • •Four cards with data center, rack and package icons
  • •Scale-across, Scale-out, Scale-up, Scale-in labels
  • •Timeline with diamond markers
ページ 76
overview

Industry-first technology from the ground up

コンテンツ

Three technology columns: high-speed analog (TIA, Driver; broadband SiGe/GaAs/InP), advanced node DSP (PAM4/6/8, coherent, coherent-lite, EIC, SerDes; first to A0 production), and photonics (MZM, MRM, EAM, SiPho, uLED, uVCSEL, plasmonics).

レイアウト構造

Three color-coded columns with header bars, icons and tech lists; takeaway line below.

主要な視覚要素

  • •Blue, cyan and teal header bars
  • •Technology icons
  • •Bold statement on decades of investment
ページ 77
product overview

TIAs and Drivers required for every optical interconnect

コンテンツ

Explains what is inside an optical module (DSP, driver, laser, modulator, TIA, photodiodes) and three points: performance rules, dozens of specialized products every year, and expansion from pluggables to NPO and CPO.

レイアウト構造

Left: chip renders on glass plate over a block diagram; right: three stacked blue callout bars.

主要な視覚要素

  • •Marvell TIA and Driver chip renders
  • •Optical module block diagram
  • •Three blue callout bars
ページ 78
overview

Marvell high-speed analog foundation

コンテンツ

Product leadership (first to every generation, PAM and coherent, NPO, every speed and distance) and technology innovation (multi-foundry, GaAs/SiGe/InP, 30-40 tape-outs per year); headline: 25+ years of leadership.

レイアウト構造

Two bullet columns flanking a central TIA and Driver chip image on a teal band, with a bold summary line below.

主要な視覚要素

  • •TIA and Driver chip renders
  • •Teal glass platform
  • •Two bullet lists
ページ 79
roadmap

Multi-generational DSP platform leadership

コンテンツ

Staircase of DSP generations: 200G (16nm, 4x50G), 400G (7nm, 4x100G), 800G (5nm, 8x100G) and 1.6T (3nm, 8x200G), each with matching TIA and Driver.

レイアウト構造

Left photo panel with pluggable and chips; right ascending glass steps with labels.

主要な視覚要素

  • •Ascending glass step tiles
  • •Pluggable module and DSP/TIA/Driver chips
  • •Large 1.6T label
ページ 80
overview

Early co-definition with hyperscalers

コンテンツ

Four practices: solution defined years ahead, unique features for key hyperscalers, collaboration across the optics ecosystem, and production ramp ready from design phase.

レイアウト構造

Full-width band with left text over a blue gradient and a right data center photo with a diamond handshake icon.

主要な視覚要素

  • •Server rack photo
  • •Glass diamond with handshake icon
  • •Blue gradient text band
ページ 81
product overview

Build optimized solution for diversifying AI workload

コンテンツ

Five 1.6T 3nm DSPs: Ara (foundation), Ara T (power), Ara X (robustness), Ara M (security, coming soon) and Petra (flexibility); all others shipping now.

レイアウト構造

Five equal cards in a row with chip image, description, optimization focus and status.

主要な視覚要素

  • •Five chip renders
  • •Color-coded cards
  • •Shipping now / Coming soon status
ページ 82
roadmap

Scaling beyond 1.6T

コンテンツ

A 3.2T DSP solution aims to be scalable for volume deployment, robust for AI links, more power efficient and keep the pluggable form factor.

レイアウト構造

Left: 3.2T DSP chip on glass platform with arrow; right: four stacked blue bars with icons.

主要な視覚要素

  • •Marvell DSP chip render
  • •Large 3.2T label
  • •Four icon bars
ページ 83
comparison

Addressing the complexities of 3.2T

コンテンツ

Marvell 3.2T optical DSP solution is being developed in two flavors: 2nm PAM DSP and 2nm Coherent-lite DSP, each with TIA and Driver.

レイアウト構造

Header banner, two side-by-side glass platforms with chip stacks, bold closing line.

主要な視覚要素

  • •Blue and teal glass platforms
  • •PAM 3.2T and Coherent-lite 3.2T DSP renders
  • •Companion TIA and Driver chips
ページ 84
product demo

Marvell industry-first 2nm live demos at ECOC

コンテンツ

Live demos: 3.2T PAM4 with an 8x400G optical module using PAM 448G SerDes, and 3.2T Coherent-lite with a 2x1.6T module, labeled Path to 3.2T and beyond.

レイアウト構造

Two demo screenshot panels side by side with a large glass diamond callout on the right.

主要な視覚要素

  • •Eye diagram screenshot
  • •Coherent-lite DSP dashboard
  • •Glass diamond callout
ページ 85
roadmap

The path to 3.2T and beyond

コンテンツ

Bandwidth staircase from 200G, 400G, 800G, 1.6T to 3.2T (2nm Coherent-lite and 2nm PAM) and 6.4T, with the claim that Marvell leads every transition.

レイアウト構造

Left photo panel with module and chips; right ascending glass steps rising to the top right.

主要な視覚要素

  • •Ascending glass steps
  • •Large 6.4T and 3.2T labels
  • •Pluggable module with DSP, TIA, Driver chips
ページ 86
section divider

Next-gen chip-to-chip interconnect for scale-in

コンテンツ

Reprise of the four-reach connectivity portfolio with Scale-in (up to 100mm; uLED, uVCSEL, optical I/O chiplet) highlighted.

レイアウト構造

Four reach cards with timeline and product lists; Scale-in column highlighted in bright blue.

主要な視覚要素

  • •Four reach cards
  • •Highlighted Scale-in label
  • •Diamond timeline markers
ページ 87
comparison

Extending optics native to compute for scale-in

コンテンツ

Compares today's copper I/O (CMOS SerDes, reach ~10mm) with future optical I/O chiplets using uLED and uVCSEL light sources (reach 1.5m+).

レイアウト構造

Two side-by-side panels with package renders, a transition arrow, and captions.

主要な視覚要素

  • •ASIC with electrical I/O SerDes render
  • •ASIC with optical I/O chiplet render
  • •Transition arrow
  • •Bright blue future panel
ページ 88
conclusion

Marvell is a connectivity-first company

コンテンツ

Section conclusion: most advanced technology, deep customer engagements, and architected to scale for AI volume; leading every hop, distance and generation.

レイアウト構造

Three check-badge cards in a row, bold statement, glass tiles at bottom.

主要な視覚要素

  • •Check badges
  • •Gear, handshake and scale icons
  • •Fanned glass tiles
ページ 89
speaker intro

Russ Esmacher, SVP and GM, Data Center Interconnect Business

コンテンツ

Speaker introduction for Russ Esmacher, SVP and GM, Data Center Interconnect Business.

レイアウト構造

Left-aligned logo, name and title on black; glass slabs on the right edge.

主要な視覚要素

  • •MARVELL logo
  • •Large white speaker name
  • •Blue glass slabs
ページ 90
section divider

Marvell connects AI infrastructure across every distance

コンテンツ

Four-reach connectivity framework (scale-across 1,000km, scale-out 2km, scale-up 50m, scale-in 100mm) with Scale-across highlighted, under the line Leadership across the full connectivity stack.

レイアウト構造

Centered two-line title, four reach cards over a teal band, timeline and highlighted label.

主要な視覚要素

  • •Four reach cards
  • •Highlighted Scale-across tab
  • •Teal gradient band
ページ 91
overview

DCI market tailwinds

コンテンツ

Four drivers: power efficiency (boxes to pluggables), data center densification, line system density (more fiber capacity), and emerging scale-across with 15x bandwidth versus traditional DCI over up to 1,000km.

レイアウト構造

Four cards in a row, the last enlarged and brightly highlighted, with a bold takeaway.

主要な視覚要素

  • •COLORZ pluggable image
  • •Cluster of data center icons
  • •Fiber icon
  • •Highlighted Scale-across card
ページ 92
timeline

Marvell led the pluggable transition a decade ago

コンテンツ

Move from transport and DCI boxes to Marvell coherent pluggables: COLORZ 100 (2016), COLORZ 400 (2020), COLORZ 800 (2024) and COLORZ 1600 (2026).

レイアウト構造

Left grey box panel for previous generation; four connected product cards on a timeline with years.

主要な視覚要素

  • •Transport box and DCI box photos
  • •COLORZ module and DSP images
  • •Arrows linking generations
ページ 93
data visualization

Scale-across connects AI clusters

コンテンツ

Two AI clusters linked up to 1,000km by Marvell coherent pluggables and DSPs, delivering 15x bandwidth versus DCI and accelerating 1.6T and 3.2T adoption.

レイアウト構造

Cluster network diagrams at both edges, central large 15x callout on a glass platform, bold caption.

主要な視覚要素

  • •Switch-and-XPU cluster diagrams
  • •Pluggable modules with coherent DSP chips
  • •Huge 15x callout
ページ 94
comparison

Two paths to market

コンテンツ

Coherent modules (COLORZ modules for hyperscalers) and coherent DSP (powering partner modules for the broader market).

レイアウト構造

Two equal panels, one blue and one teal, each with a product image and caption.

主要な視覚要素

  • •COLORZ pluggable render
  • •Coherent DSP chip render
  • •Two colored panels
ページ 95
product overview

Scaling coherent optics for high volume

コンテンツ

Anatomy of a coherent module (DSP, DAC/ADC, driver, TIA, modulator, PDs) and five strengths: largest coherent DSP team, advanced SerDes, highest speed analog, deep photonics, and high-volume manufacturability (>1M units, >15B field hours).

レイアウト構造

Top: module photo, block diagram and exploded view; bottom: five cards under a banner reading 20+ years of core competencies.

主要な視覚要素

  • •Module block diagram
  • •Exploded module render
  • •Five competency cards
  • •Stats >1M units and >15B field hours
ページ 96
roadmap

Multi-generational scale-across platform leadership

コンテンツ

Roadmap of coherent platforms: 100G ZR (28nm SiPho), 400G ZR (7nm SiPho), 800G ZR and ZR+/MACsec (5nm and 2nm SiPho), 1.6T coherent-lite/ZR/ZR+ (2nm TFLN) and 3.2T coherent-lite/ZR/ZR+ (14A, plasmonics).

レイアウト構造

Ascending staircase of glass tiles grouped by speed, each labeled with product type, node and photonics.

主要な視覚要素

  • •Staggered glass tiles by speed tier
  • •Large 800G, 1.6T, 3.2T labels
  • •Color gradient from grey to cyan
ページ 97
product overview

Marvell leading next gen at 2nm

コンテンツ

COLORZ 1600 powered by the Electra DSP (industry-first 2nm 1.6T ZR/ZR+ extending links to 1,000km+) and COLORZ 800 powered by the Libra DSP (industry-first 2nm 800G ZR/ZR+ with built-in MACsec encryption).

レイアウト構造

Two panels side by side each with a pluggable render and DSP chip; bold captions below.

主要な視覚要素

  • •COLORZ pluggable renders
  • •Electra and Libra 2nm CDSP chips
  • •Dark blue panels
ページ 98
product demo

Marvell industry-first 2nm live demos at ECOC

コンテンツ

Live demos of 1.6T ZR/ZR+ (more bandwidth, lower power, longer reach) and 800ZR/ZR+ with MACsec (secure AI traffic, lower cost, simpler operations).

レイアウト構造

Two demo screenshot panels side by side with headline and subtitle above each.

主要な視覚要素

  • •1600ZR dashboard screenshot with constellation plots
  • •MacSec Live 800ZR dashboard
  • •White caption bars
ページ 99
conclusion

Leading scale-across with coherent pluggables

コンテンツ

Three claims: market leader supplying top 5 hyperscalers, first to market leveraging core technologies, and delivering at scale with >1M shipped.

レイアウト構造

Three check-badge cards, bold closing statement, glass tiles at bottom.

主要な視覚要素

  • •Check badges
  • •Three gradient cards
  • •Fanned glass tiles
ページ 100
speaker intro

Dave Lazovsky, EVP and GM, Data Center Networking Business

コンテンツ

Speaker introduction for Dave Lazovsky, EVP and GM, Data Center Networking Business.

レイアウト構造

Left-aligned logo, name and title on black; glass slabs on the right edge.

主要な視覚要素

  • •MARVELL logo
  • •Large white speaker name
  • •Blue glass slabs
ページ 101
product overview

Marvell Data Center Networking

コンテンツ

Three product areas: cloud optics (pluggable transceivers and coherent DCI), switching (scale-out and scale-up), and integrated optics (NPO and CPO).

レイアウト構造

Three equal cards with product photos and captions on a blue-teal gradient background.

主要な視覚要素

  • •Pluggable transceiver photo
  • •Switch chassis photo
  • •NPO/CPO package render
ページ 102
roadmap

Established switching portfolio, accelerating momentum

コンテンツ

Switch bandwidth timeline from 12.8T to 400T showing Ethernet Teralynx 7, 10 and T100, with the 100T ESUN-era system (BGA/CPC/NPO/CPO for scale-out and scale-up) shown as silicon die, line card and liquid-cooled chassis.

レイアウト構造

Rows for Ethernet and ESUN with chip images above a bandwidth arrow axis; central overlay image of the 100T system.

主要な視覚要素

  • •Teralynx chip images
  • •Switch bandwidth arrow 12.8T to 400T
  • •Overlay of die, line card and chassis
  • •Cyan 100T label
ページ 103
roadmap

Established switching portfolio, accelerating momentum

コンテンツ

Completed portfolio matrix: Ethernet Teralynx 7 to T400, ESUN E115/E230/E460 and UALink U115/U230/U460 across 12.8T to 400T switch bandwidth; customer deployment at scale with a portfolio extending to 200T, 400T and UAL.

レイアウト構造

Three protocol rows with chip images placed along a switch-bandwidth arrow axis; summary line at bottom.

主要な視覚要素

  • •Teralynx chip renders by protocol
  • •Three protocol row labels
  • •Switch bandwidth axis
  • •Closing summary line
ページ 104
overview

The industry's only portfolio of all switch protocols

コンテンツ

Logical layer protocols UALink, NVLink and Ethernet/ESUN are all served by Marvell network solutions, which are protocol agnostic and tailored to each customer.

レイアウト構造

Three glass diamonds across the top connected by lines to a central box, with a bold statement below.

主要な視覚要素

  • •Three glass diamond tiles
  • •Protocol icons
  • •Connector lines to central box
ページ 105
section divider

Marvell connects AI infrastructure across every distance

コンテンツ

Four-reach connectivity framework repeated with Scale-up (rack or multi-rack, up to 50m) highlighted, under the line Leadership across the full connectivity stack.

レイアウト構造

Centered two-line title, four reach cards over a teal band, timeline and highlighted label.

主要な視覚要素

  • •Four reach cards
  • •Highlighted Scale-up tab
  • •Teal gradient band
ページ 106
timeline

AI workloads drive new infrastructure demands

コンテンツ

Rising curve of AI stages: foundation models at scale, reasoning and inference-time compute, MoE plus long context, agentic AI and adoption at scale, each adding demands; the technology needs explode across compute, memory, scale-up networking and connectivity reach.

レイアウト構造

Upward-sloping line with four milestones and bullet lists, summary strip along the bottom.

主要な視覚要素

  • •Blue-to-teal rising curve
  • •Four diamond milestones
  • •Bottom explosion-of-needs strip
ページ 107
process diagram

Reasoning at scale creates a memory challenge

コンテンツ

Flow showing longer context growing the KV cache, the required KV entry missing from fast memory, forcing reload or recompute and eviction, leading to higher latency, more memory traffic and lower system efficiency.

レイアウト構造

Five-step left-to-right flow separated by arrows, each with its own heading and illustration.

主要な視覚要素

  • •Prompt/Reasoning/Response box
  • •KV cache stack with memory hierarchy (HBM, DRAM, SSD)
  • •Reload, Recompute and Evict boxes
  • •Red warning alert
ページ 108
comparison

Memory scaling beyond the server and rack

コンテンツ

Memory architectures scale with inference demand from XPU/server (direct-attach SRAM/HBM, fastest but capacity constrained), to rack (memory-semantic network, more capacity), to pod/multi-rack (larger scale-up domains); this requires a high-bandwidth, low-latency scale-up network.

レイアウト構造

Three equal cards with imagery and tiered captions, a subtitle above and a bold conclusion below.

主要な視覚要素

  • •Exploded XPU package render
  • •Single rack photo with vertical arrow
  • •Multi-rack row with horizontal arrow
ページ 109
concept explainer

Scaling beyond the rack requires optics

コンテンツ

Argues that inference-time compute and reasoning models need more memory, so the network must extend beyond the XPU package, server and rack as copper hits its reach limit and optics takes over. Optics brings higher bandwidth, lower latency, longer reach and lower power; multi-rack scale-up needs advanced optics and high-radix, single-hop switching.

レイアウト構造

Left server-rack photo and right data-center row photo joined by a glowing fiber-bundle graphic, with three teal benefit tiles on the right and a bold takeaway line at the bottom.

主要な視覚要素

  • •Glowing blue fiber-bundle lines converging between two racks
  • •Copper -> Reach limit -> Optical flow label
  • •Three teal icon tiles: Higher bandwidth, Lower latency, Longer reach and lower power
ページ 110
comparison

Scale-up requirements drive optics closer to compute

コンテンツ

XPU 1 reaches memory in XPU 2 through the scale-up network, which needs at least 16 Tbps per XPU (roughly 10 x 1.6T links). Requirements are 10x bandwidth density, low latency, low power and multi-rack reach, so traditional pluggables give way to NPO and CPO.

レイアウト構造

Top diagram of two XPU+HBM chips linked by a central bandwidth callout; middle row of four requirement columns; bottom blue panel with three-way Pluggable / NPO / CPO comparison.

主要な視覚要素

  • •>=16 Tbps hero number
  • •Four requirement columns with cyan headings
  • •Product renders of a pluggable module, NPO module and CPO package
ページ 111
product roadmap table

Hyperscale data center optical scale-up networks

コンテンツ

Portfolio table of Marvell optics for scale-up: 200G NPO with SiGe drivers/TIAs (1.6T-6.4T, now), 200G Light Engine (6.4T, now), 400G Light Engine (25.6T, 2027), MRM/OCI MSA (12.8T, 2027) and Photonic Fabric (16T-32T, 900G per fiber, 2027). Grouped into module providers, "Fast Pipe" and "Flat Pipe" light engines.

レイアウト構造

Five-column product matrix with product renders on top and Bandwidth, BW/fiber and Timing rows beneath, plus a gradient banner footer.

主要な視覚要素

  • •Five 3D product renders in blue glass cells
  • •Rows for Bandwidth, BW / fiber and Timing (Now vs 2027)
  • •Gradient banner: A comprehensive optical portfolio for scale-up architectures
ページ 112
product showcase

200G / 400G Light Engines (product hero)

コンテンツ

Full-bleed render of a Marvell 200G/400G light engine module with a bundle of blue optical fibers ending in yellow-keyed connectors.

レイアウト構造

Full-bleed blue gradient product hero with the title top-left and the module placed diagonally across the slide.

主要な視覚要素

  • •Metal-housed light engine module
  • •Twisting blue fiber ribbon
  • •Connector terminations in yellow and grey
ページ 113
technical diagram

200G / 400G Light Engines exploded view

コンテンツ

Exploded diagram of the light engine labeling Housing, FAU, Light Engine, optional DSP, CPx Connectors and Optical Connectors (Data and ELS).

レイアウト構造

Full-bleed blue background with stacked exploded components on the left and fiber leads sweeping to labeled optical connectors on the right.

主要な視覚要素

  • •Layered exploded 3D render of the module
  • •Callout labels with leader lines (Housing, FAU, Light Engine, DSP (optional), CPx Connectors)
  • •Optical Connectors (Data and ELS) label
ページ 114
technical diagram

200G / 400G Light Engines internal components

コンテンツ

Zoomed exploded view naming the internals: Photonic IC (PIC) with MZM, SiGe Drivers, SiGe TIAs, Controller and FAU beneath a Marvell-branded lid.

レイアウト構造

Full-bleed close-up render of stacked chip layers with callout labels placed around the left and right edges.

主要な視覚要素

  • •Marvell-branded package lid lifted above the stack
  • •Photonic IC with MZM modulator trace
  • •Labels for SiGe Drivers, SiGe TIAs, Controller and FAU
ページ 115
product showcase

Photonic Fabric / OCI MSA (product hero)

コンテンツ

Hero render of the Photonic Fabric / OCI MSA light engine module with fiber ribbon and connectors, introducing the second light-engine family.

レイアウト構造

Full-bleed blue gradient hero with a short title top-left and the assembled module running diagonally to the upper right.

主要な視覚要素

  • •Cutaway module showing internal chip and fibers
  • •Blue fiber ribbon with yellow-keyed connectors
  • •Marvell-branded chip lid
ページ 116
technical diagram

Photonic Fabric / OCI MSA exploded view

コンテンツ

Exploded assembly of the Photonic Fabric / OCI MSA module with labels for Light Engine, FAU, Housing, CPx Connectors and Optical Connectors (Data and ELS).

レイアウト構造

Full-bleed blue background; exploded stack at center-left, fiber cables fanning to connectors at upper right, labels around the parts.

主要な視覚要素

  • •Exploded stack of lid, chips and PCB
  • •Housing and CPx connector parts below
  • •Callout labels with thin leader lines
ページ 117
technical diagram

Photonic Fabric / OCI MSA chip stack

コンテンツ

Zoomed exploded view labeling the controller, the EIC/ASIC (analog SerDes, TIA, driver integrated), the MRM or EAM modulator and the Photonic IC (PIC).

レイアウト構造

Full-bleed blue close-up of a four-layer chip stack with large callout labels on the left and right.

主要な視覚要素

  • •Marvell-branded lid above stacked dies
  • •EIC/ASIC and PIC layers with callouts
  • •MRM or EAM label on the photonic layer
ページ 118
feature highlight

Customer operational priorities shape architecture: NPO

コンテンツ

Near-package optics (NPO) as the copper-to-optics physical layer: lower failure blast radius, field-replaceable optics, and flexible, configurable design. Message: different priorities, different architectures, one goal of optimizing the system for each customer.

レイアウト構造

Left large rendering of an XPU package ringed by optical modules; middle stack of three colored benefit bars with icons; right-hand statement text.

主要な視覚要素

  • •XPU package with surrounding NPO modules and blue fibers
  • •Three icon bars: shield, wrench, expand arrows
  • •One goal: optimize the system for each customer
ページ 119
feature highlight

Customer operational priorities shape architecture: CPO

コンテンツ

Co-packaged optics (CPO) benefits: lowest power and latency, greater integration with reduced system complexity, and optimization for maximum integration at scale. Same closing message as the NPO slide: one goal, optimize the system for each customer.

レイアウト構造

Mirrors the NPO slide: left photo of a server board with glowing fiber loops, three benefit bars in the middle, statement on the right.

主要な視覚要素

  • •Server board with glowing fiber loops around two packages
  • •Icon bars: lightning bolt, gear, lightbulb
  • •One goal: optimize the system for each customer
ページ 120
architecture diagram

Scale-up networks co-engineered end to end

コンテンツ

End-to-end diagram from XPU compute-side I/O chiplet through physical layer and protocol, the scale-up switch with I/O chiplets, and back to a second XPU. Three pillars: design for link performance, architect for rapid bring-up, operate with confidence, ending with faster time to market and lower risk.

レイアウト構造

Horizontal block diagram in a white-outlined frame with bidirectional arrows, three cyan-headed captions below and a bold takeaway line.

主要な視覚要素

  • •XPU - Physical layer/Protocol - Scale-up switch chain
  • •Glowing teal-outlined switch block with chip render
  • •Three cyan pillar headings with captions
ページ 121
product showcase

Shared memory beyond the XPU

コンテンツ

Marvell Photonic Fabric Memory Module and Photonic Fabric Memory Appliance deliver high-bandwidth, low-latency access to shared memory across the scale-up domain.

レイアウト構造

Module render at upper left, a zoomed photo inset at center connected by a teal wedge to an appliance chassis at lower right, with a blue banner statement bottom-left.

主要な視覚要素

  • •Photonic Fabric memory module with fiber attached
  • •Zoomed board photo with DIMMs and optical chips
  • •Memory appliance chassis cutaway
  • •Blue banner statement
ページ 122
section summary

The trusted partner for scale-out, scale-up switching and optics

コンテンツ

Summary of three opportunities: scale-out switching growing to more than $1B in FY28 on a multi-billion annual trajectory; scale-up switching with strong customer traction and additional multi-billion annually; scale-up optics with significant Marvell content and a revenue opportunity substantially greater than scale-up switching.

レイアウト構造

Three check-badged columns across the top, divider line, large centered tagline, and a fan of glass tiles along the bottom.

主要な視覚要素

  • •Three teal gradient cards with check-mark badges
  • •Bold tagline: The trusted partner for scale-out, scale-up switching and optics solutions
  • •Fanned 3D blue glass tiles
ページ 123
speaker intro

Will Chu, EVP and GM, Custom Cloud Solutions Business

コンテンツ

Speaker introduction for Will Chu, EVP and GM of the Custom Cloud Solutions Business, opening the custom silicon section.

レイアウト構造

Left-aligned name and title under the Marvell logo on a black field, with stacked blue glass panes on the right.

主要な視覚要素

  • •Marvell logo top-left
  • •Large bold white speaker name
  • •Stacked translucent blue glass panels
ページ 124
business overview

Multiple multi-generational wins at top 4 hyperscalers

コンテンツ

Custom Cloud Solutions built on Marvell core IP (a grid of 15 IP icons) feeds two product categories: XPU and XPU attach.

レイアウト構造

Left glass card holding the Marvell logo and icon grid, with an arrow pointing to two stacked diamond-shaped glass tiles labeled XPU and XPU attach.

主要な視覚要素

  • •Blue glass card with Marvell logo
  • •3x5 grid of white IP icons
  • •Arrow to two teal diamond tiles
ページ 125
roadmap

XPUs growing in complexity to scale AI performance

コンテンツ

XPU generations grow from 1-2 die and 4-6 HBM (N), to 4-8 die, 12 HBM and 2-4 copper I/O (N+1), to 8+ die, 12+ HBM and 4+ optical I/O (N+2). Marvell critical technologies include SerDes, die-to-die, advanced packaging, custom SRAM, custom HBM, PIVR, 3D DRAM, NPO, CPO and NVLink Fusion.

レイアウト構造

Three-column generation timeline with stacked-chip renders, a cyan technology banner row beneath, and a bold takeaway line.

主要な視覚要素

  • •Three exploded multi-die package renders growing in size
  • •Spec lines under N, N+1, N+2
  • •Cyan banner listing Marvell critical technologies
ページ 126
comparison

Custom opportunity expanding rapidly

コンテンツ

Traditional data centers use standard/merchant products around a CPU (NIC, memory, security, management). AI data centers use custom/semi-custom products around an XPU: NIC, storage, memory expansion, security, near-memory compute, inference accelerator and management co-processor.

レイアウト構造

Side-by-side before/after panels with an arrow between them: hub-and-spoke block diagrams, with a bold statement beneath.

主要な視覚要素

  • •Traditional panel with CPU at center and four boxes
  • •AI panel with XPU at center and six custom blocks
  • •Arrow between panels
  • •Icon-labeled blocks
ページ 127
comparison

AI workloads outgrow off-the-shelf NICs

コンテンツ

Three columns: traditional data centers use foundational NICs and SmartNICs with I/O speeds under 100G (Marvell OCTEON SmartNICs); AI needs specific I/O speed and bandwidth, optimized data paths, custom protocols and optimized CPUs; Marvell answers with a Custom NIC.

レイアウト構造

Three equal columns (Traditional, AI challenges, Marvell) with bullet lists and a product photo each, highlighted blue Marvell column, and a bold takeaway line.

主要な視覚要素

  • •OCTEON SmartNIC card photo
  • •Marvell Custom NIC board with heatsinks
  • •Highlighted gradient-blue Marvell column
ページ 128
comparison

Memory expansion and near-memory compute

コンテンツ

Traditional data centers were CPU-bound with direct-attach memory and an early CXL effort; AI brings inference and KV cache workloads that are memory-bound and latency-sensitive amid a memory shortage. Marvell offers Structera X and Structera A plus Custom Memory Expander.

レイアウト構造

Same three-column template: Traditional, AI challenges, Marvell, with chip shots and an add-in card in the highlighted column.

主要な視覚要素

  • •Chip renders labeled Structera X, Structera A and Memory Expander
  • •Copper-heatsink add-in card
  • •Plus sign joining standard and custom products
ページ 129
comparison

AI storage demands semi-custom silicon

コンテンツ

Traditional storage used merchant SSD controllers and accelerators; AI needs multi-generation firmware/software control, multi-vendor NAND flexibility and storage offload performance. Marvell offers flash-agnostic controllers and AI-optimized storage accelerators such as Bravera SC6 and a Storage Accelerator.

レイアウト構造

Three-column comparison template with an SSD board photo at left and two chip renders in the highlighted Marvell column.

主要な視覚要素

  • •Bravera SSD controller board photo
  • •Chip renders: Bravera SC6 and Storage Accelerator
  • •Bold takeaway: Storage capacity and offload requirements are rising rapidly
ページ 130
comparison

A new class of AI infrastructure management silicon

コンテンツ

Traditional BMCs manage ~150 sensors and 100s of KB/day with minimal performance; AI servers have more than 1500 sensors, 100s of MB/day and ~1000X more performance needs. Marvell responds with a Semi-Custom Processor for AI infrastructure management.

レイアウト構造

Three-column template with a 1U server render, a rack-row render and the Marvell Semi-Custom Processor chip in the highlighted column.

主要な視覚要素

  • •1U server photo
  • •Rows of AI racks
  • •Marvell Semi-Custom Processor chip render
ページ 131
market opportunity

Inference offload opens a new XPU attach market

コンテンツ

Inference architectures are evolving and XPUs need offloading via specialized co-processors attached to them. Marvell contributes SerDes, die-to-die, custom SRAM and advanced packaging, and is positioned to win in this new XPU attach market.

レイアウト構造

Two-panel layout: left bullets under Next-gen AI challenges, right highlighted panel with an exploded chip stack and four IP labels.

主要な視覚要素

  • •Exploded multi-layer chip render
  • •Four labels: SerDes, Die-to-die, Custom SRAM, Adv. package
  • •Bold takeaway line
ページ 132
framework / equation

Significant custom opportunity

コンテンツ

Marvell custom opportunity is framed as a product of five multipliers: more customers, more XPUs, more attach categories, higher attach rate and higher ASPs, summarized as building a balanced portfolio.

レイアウト構造

Horizontal equation of five blue tiles with multiplication signs leading to a green result tile, tagline below, glass-tile fan at the bottom.

主要な視覚要素

  • •Five blue tiles joined by x signs
  • •Green equals tile: Marvell opportunity
  • •Fanned glass tiles graphic
ページ 133
financial targets

XPU and XPU attach driving growth

コンテンツ

Adding XPU attach to the growing XPU business brings greater diversity; custom revenue forecast updated to $12B+ in FY29 and $30B+ in FY31 at the midpoint target, based on design win diversity.

レイアウト構造

Three check-badged cards over a divider, a bold closing statement and the glass-tile fan along the bottom.

主要な視覚要素

  • •Three teal check-badge cards
  • •$12B+ in FY29 and $30B+ in FY31 figures
  • •Fanned glass tiles
ページ 134
speaker intro

Dan Durn, EVP and CFO

コンテンツ

Speaker introduction for Dan Durn, EVP and CFO, opening the financial section.

レイアウト構造

Left-aligned name and title under the Marvell logo on black, with stacked blue glass panes at right.

主要な視覚要素

  • •Marvell logo
  • •Large white name
  • •Stacked blue glass panels
ページ 135
data highlights

Long-term model execution FY21 to FY26

コンテンツ

Revenue grew at a 23% CAGR versus the 15-20% target set in FY21; operating income expanded at a 32% CAGR; capital allocation was >$8B organic investment, ~$11B M&A and $4B returned to shareholders. Headline: exceeded targets while adding capabilities.

レイアウト構造

Three tall glass cards (two blue, one green) with icons, large stat figures and captions, a takeaway line and a footnote.

主要な視覚要素

  • •23% CAGR and 32% CAGR large figures
  • •Capital allocation triple stat: >$8B, ~$11B, $4B
  • •Footnote on Non-GAAP R&D
ページ 136
recap / summary

What you have heard today

コンテンツ

Recap of the day: ~$400B TAM growing ~45% CAGR CY25-CY30, technology leadership in DSP and optical, analog mixed signal and silicon and packaging, and a $70-90B revenue opportunity at 55-60% CAGR FY26-FY31.

レイアウト構造

Three-column panel on a teal gradient band: Market opportunity, Technology leadership, Revenue opportunity, with a closing tagline.

主要な視覚要素

  • •~$400B TAM in cyan
  • •$70-90B in green
  • •Three stacked technology pillars
  • •Teal gradient banner
ページ 137
outlook summary

What's in front of us

コンテンツ

Outlook for revenue (55-60% five-year CAGR FY26-FY31, growing faster than the market), earnings (faster than revenue via operating leverage at scale) and cash flow (strong and rising, funding growth and shareholder returns).

レイアウト構造

Three glass tiles with icons labeled Revenue, Earnings, Cash flow, explanatory captions below and a bold takeaway line.

主要な視覚要素

  • •Bar-chart, arrow and trend-line icons
  • •55-60% large figure
  • •Blue and teal glass tiles
ページ 138
data visualization

Faster revenue growth, more data center

コンテンツ

Total revenue grows from $8.2B in FY26 to $70-90B in FY31 (55-60% CAGR); data center grows at ~65% CAGR while comms and other grows at more than 3%.

レイアウト構造

Left two-bar stacked chart (FY26 vs FY31) with a CAGR circle and legend; right gradient panel with two big stats.

主要な視覚要素

  • •Two stacked bars in blue and green (data center vs comms)
  • •55-60% CAGR circle
  • •Right panel: ~65% and >3% figures
ページ 139
data highlights

Data center growth is broad-based

コンテンツ

Three data center engines: Interconnect (~65% FY26-FY31 revenue CAGR at midpoint, ~$65B TAM in FY31), Switching and storage (~45%, ~$85B TAM) and Custom (~80%, ~$235B TAM).

レイアウト構造

Three equal gradient cards with icons, large CAGR numbers and TAM figures, with a bold tagline and footnote.

主要な視覚要素

  • •Large ~65%, ~45%, ~80% figures
  • •Icons for interconnect, switching/storage and custom
  • •TAM lines per card
ページ 140
financial model

Significant operating leverage

コンテンツ

Gross margin is influenced by product mix with growth in custom; operating margin increases with scale as OpEx rises at about half the percentage rate of revenue growth. Earnings compound faster than revenue.

レイアウト構造

Two wide cards side by side on a blue-teal gradient with icons, plus a closing statement.

主要な視覚要素

  • •Cycle arrows icon for gross margin
  • •Dollar-with-arrow icon for operating margin
  • •Two dark-blue cards
ページ 141
strategy / priorities

Capital allocation priorities

コンテンツ

Three priorities: organic growth (talent, IP and supply to fund the roadmap), strategic M&A (proven track record of acquiring technology and teams) and returning capital (>50% of free cash flow on average over time), all while maintaining a strong balance sheet.

レイアウト構造

Three columns with colored headings, icons above glass diamond platforms, vertical dividers and a closing line.

主要な視覚要素

  • •Blue, cyan and green column headings
  • •Icons on glass diamond platforms
  • •Vertical divider lines
ページ 142
financial table

Long-term Non-GAAP financial model

コンテンツ

FY31 target model: revenue $70-90B, gross margin 56-59%, operating margin 44-46%, tax rate 15%, free cash flow >36%, with implied EPS above $30.

レイアウト構造

Left five-row metric table with gradient header, right large glass diamond tile showing >$30 with caption FY31 implied EPS.

主要な視覚要素

  • •Two-column table with cyan values
  • •Glass diamond with >$30
  • •Gradient blue-to-teal header row
ページ 143
conclusion

Why invest in Marvell?

コンテンツ

Five proof points: $400B CY30 TAM forecast, $20B FY28 updated total revenue target, $12B+ FY29 updated custom revenue target, $70-90B FY31 total revenue target and >$30 FY31 implied Non-GAAP EPS. Tagline: trusted by the world's AI infrastructure leaders.

レイアウト構造

Row of five check-badged cards with big figures, a divider, bold tagline and glass-tile fan at the bottom.

主要な視覚要素

  • •Five check-badged blue cards
  • •Large dollar figures
  • •Fanned glass tiles
ページ 144
closing slide

Investor Day closing slide

コンテンツ

Closing slide repeating the Marvell INVESTOR DAY, OCTOBER 6, 2026 title branding.

レイアウト構造

Left-aligned logo, large title and date on black, with a fan of blue glass panes carrying the embossed Marvell emblem at right.

主要な視覚要素

  • •Marvell logo
  • •INVESTOR DAY title
  • •Glass panes with embossed Marvell emblem
ページ 145
section divider

Key Terms

コンテンツ

Section divider introducing the glossary of technical terms.

レイアウト構造

Black background with a bold left-aligned title and a curved array of glass panes in the lower right.

主要な視覚要素

  • •Bold white title
  • •Arc of blue glass panels
ページ 146
glossary

Key terms

コンテンツ

Two-column glossary defining abbreviations such as ACC, AEC, BMC, CPO, CXL, DSP, ESUN, HBM, KV cache, MRM, MZM, NPO, OCI, SerDes, SiPho, TFLN and TIA.

レイアウト構造

Dense two-column bullet list of acronym: expansion pairs on black.

主要な視覚要素

  • •Two-column bullet lists
  • •White type on black
  • •Alphabetical acronym entries
ページ 147
section divider

Appendices

コンテンツ

Section divider for appendices on reconciliations from GAAP to Non-GAAP.

レイアウト構造

Black background with bold title, subtitle, and an arc of blue glass panes at lower right.

主要な視覚要素

  • •Bold title with subtitle
  • •Arc of glass panels
ページ 148
disclaimer

Discussion of Non-GAAP financial measures

コンテンツ

Full-page disclosure text explaining what Non-GAAP measures exclude, the Non-GAAP tax rate (11.0% for Q2 FY27), how management uses the measures, their limitations, and that forward reconciliations after Q3 FY27 are not provided.

レイアウト構造

Full-width small-print paragraphs with one four-item bullet list under a large title.

主要な視覚要素

  • •Dense white text on black
  • •Four-bullet usage list
  • •No imagery
ページ 149
financial table

Reconciliation of GAAP gross profit to Non-GAAP gross profit

コンテンツ

Table for Q2'26, Q1'27 and Q2'27: GAAP gross profit $1,010.6M, $1,260.8M and $1,455.6M reconciles to Non-GAAP gross profit of $1,191.4M, $1,423.8M and $1,614.0M after stock-based comp, intangible amortization and restructuring items.

レイアウト構造

Three-period table with blue header and grey-highlighted latest column, plus a footnote.

主要な視覚要素

  • •Blue header row
  • •Highlighted Q2'27 column
  • •Footnote (a)
ページ 150
financial table

Reconciliation of GAAP gross margin to Non-GAAP gross margin

コンテンツ

GAAP gross margin of 50.4%, 52.1% and 53.1% reconciles to Non-GAAP gross margin of 59.4%, 58.9% and 58.9% across Q2'26, Q1'27 and Q2'27.

レイアウト構造

Three-period percentage table with blue header and highlighted latest column, plus a footnote.

主要な視覚要素

  • •Blue header row
  • •Percentage line items
  • •Highlighted Q2'27 column
ページ 151
financial table

Reconciliation of GAAP operating expenses to Non-GAAP operating expenses

コンテンツ

GAAP operating expenses of $720.5M, $921.4M and $995.9M reconcile to Non-GAAP operating expenses of $492.6M, $576.9M and $610.8M after special items such as stock-based comp of $(310.3)M in Q2'27.

レイアウト構造

Three-period table with parenthetical negatives, highlighted latest column and two footnotes.

主要な視覚要素

  • •Blue header row
  • •Special items listing
  • •Footnotes (a) and (b)
ページ 152
financial table

Reconciliation of GAAP operating income to Non-GAAP operating income

コンテンツ

GAAP operating income of $290.1M, $339.4M and $459.7M reconciles to Non-GAAP figures of $698.8M, $846.9M and $1,003.2M for Q2'26, Q1'27 and Q2'27 (the last row is labeled operating expenses on the slide).

レイアウト構造

Three-period table with highlighted Q2'27 column and footnotes.

主要な視覚要素

  • •Blue header row
  • •Total special items row
  • •Footnotes (a) and (b)
ページ 153
financial table

Reconciliation of GAAP operating margin to Non-GAAP operating margin

コンテンツ

GAAP operating margin of 14.5%, 14.0% and 16.8% reconciles to Non-GAAP operating margin of 34.8%, 35.0% and 36.6% for Q2'26, Q1'27 and Q2'27.

レイアウト構造

Percentage reconciliation table with highlighted latest column and two footnotes.

主要な視覚要素

  • •Blue header row
  • •Percent adjustments for SBC and amortization
  • •Highlighted Q2'27 column
ページ 154
financial table

Reconciliation of GAAP interest and other loss to Non-GAAP

コンテンツ

GAAP interest and other loss, net of $(56.4)M, $(256.1)M and $(81.4)M reconciles to Non-GAAP $(48.2)M, $(40.1)M and $(30.3)M, mainly via contingent consideration fair-value changes of $250.7M in Q1'27 and $52.0M in Q2'27.

レイアウト構造

Compact three-period table with two-line title, highlighted latest column and a footnote.

主要な視覚要素

  • •Blue header row
  • •Contingent consideration line
  • •Footnote (b)
ページ 155
financial table

Reconciliation of GAAP net income to Non-GAAP net income (1 of 2)

コンテンツ

GAAP net income of $194.8M, $34.5M and $308.0M reconciles to Non-GAAP net income of $585.5M, $718.0M and $865.9M after pre-tax special items of $416.9M, $723.5M and $594.6M and tax adjustments.

レイアウト構造

Long ten-row reconciliation table with highlighted Q2'27 column.

主要な視覚要素

  • •Blue header row
  • •Pre-tax special items subtotal
  • •Highlighted Q2'27 column
ページ 156
disclaimer

Reconciliation of GAAP net income to Non-GAAP net income (2 of 2)

コンテンツ

Footnotes (a)-(c) defining restructuring items, other costs and the Non-GAAP income tax rate (11.0% for the 2026 periods, 10.0% for 2025).

レイアウト構造

Text-only continuation page with three lettered footnotes under the title.

主要な視覚要素

  • •Lettered footnotes
  • •Mostly empty black field
  • •Bold subtitle
ページ 157
financial table

Reconciliation of GAAP to Non-GAAP diluted net income per share

コンテンツ

Diluted shares of 870.4M, 893.3M and 921.2M; GAAP diluted EPS of $0.22, $0.04 and $0.33 versus Non-GAAP diluted EPS of $0.67, $0.80 and $0.94 for Q2'26, Q1'27 and Q2'27.

レイアウト構造

Two stacked tables (share counts, then per-share amounts) with a highlighted latest column.

主要な視覚要素

  • •Blue header row
  • •Share count rows
  • •Per-share rows with highlighted Q2'27
ページ 158
financial table

Reconciliation of GAAP outlook to Non-GAAP outlook (1 of 3)

コンテンツ

Q3'27 outlook: net revenue $3,150M +/- 5%; GAAP gross margin 52.9%-53.9% reconciles to Non-GAAP 57.5%-58.5% after ~0.8% stock-based comp and ~3.9% amortization.

レイアウト構造

Single-column outlook table with blue header and grey value cells on the left half of the slide.

主要な視覚要素

  • •Blue header row
  • •Grey value column
  • •Revenue and gross margin blocks
ページ 159
financial table

Reconciliation of GAAP outlook to Non-GAAP outlook (2 of 3)

コンテンツ

Q3'27 GAAP operating expenses of ~$1,015M less SBC 285, amortization 72, restructuring 1 and other 2 give Non-GAAP operating expenses of ~$655M.

レイアウト構造

Single-column outlook table with blue header and grey value cells.

主要な視覚要素

  • •Blue header row
  • •Grey value column
  • •Special items breakdown
ページ 160
financial table

Reconciliation of GAAP outlook to Non-GAAP outlook (3 of 3)

コンテンツ

Q3'27 GAAP diluted EPS of $0.53 +/- $0.05 reconciles to Non-GAAP diluted EPS of $1.10 +/- $0.05 via SBC 0.34, amortization 0.21, tax effects (0.03) and other 0.05.

レイアウト構造

Single-column outlook table with blue header and grey value cells.

主要な視覚要素

  • •Blue header row
  • •Per-share special items
  • •Non-GAAP EPS result row
ページ 161
closing slide

Marvell Investor Day closing title

コンテンツ

Final closing slide with MARVELL logo, INVESTOR DAY and OCTOBER 6, 2026 over the glass-pane emblem artwork.

レイアウト構造

Left-aligned logo, large title and date on black, with a fan of blue glass panes carrying the embossed Marvell emblem at right.

主要な視覚要素

  • •Marvell logo
  • •INVESTOR DAY title and date
  • •Glass panes with embossed emblem

よくある質問

このスライドと基礎となるプレゼンテーションコンテンツに関する一般的な質問。

What is the Marvell Investor Day 2026 presentation?

It is the 161-slide deck Marvell Technology presented at its Investor Day in New York on October 6, 2026. It covers the CEO's strategy, the operating plan, deep dives on connectivity, data center interconnect, data center networking and custom cloud solutions, and the CFO's long-term financial model, plus key terms and GAAP-to-non-GAAP reconciliations.

What long-term targets did Marvell announce?

The deck raises the FY28 total revenue outlook to $20B, raises the FY29 custom revenue target to $12B+, and sets an FY31 total revenue target of $70–90B (a 55–60% FY26–FY31 CAGR) with an FY31 implied non-GAAP EPS above $30. The long-term model targets 56–59% gross margin, 44–46% operating margin and free cash flow above 36% of revenue.

How big does Marvell say its addressable market is?

Marvell sizes its total TAM at about $400B in CY30, growing roughly 45% a year from CY25. That splits into roughly $235B custom, $85B switching and storage, $65B interconnect and $15B comms and other, set against data center CAPEX of about $3T by CY30.

Who presents in the Marvell Investor Day 2026 deck?

Ross Seymore (SVP, Investor Relations) opens, followed by Matt Murphy (Chairman and CEO), Chris Koopmans (President and COO), Sandeep Bharathi (President, Data Center Group), Xi Wang (Connectivity), Russ Esmacher (Data Center Interconnect), Dave Lazovsky (Data Center Networking), Will Chu (Custom Cloud Solutions) and Dan Durn (EVP and CFO).

Can I download this investor day deck as an editable PowerPoint?

Yes. The gallery page provides the original PDF and a PPTX converted from it, so you can study the layouts or adapt individual slides. Because the PPTX is converted from the PDF, some complex graphics may come through as images rather than native editable shapes.

Is this deck a good template for my own investor day or analyst day?

It is a strong reference for structure: a short legal and agenda front section, a CEO vision section, operating and business-unit deep dives each opened by a speaker slide, a CFO financial model, a recap 'Why invest' slide, and an appendix of reconciliations. Swap in your own figures and keep the big-number callouts and before/updated target reveals.

What design style does the Marvell deck use?

A dark theme throughout: black backgrounds, translucent blue glass 3D renders on title and speaker slides, white sans-serif headlines, blue accent highlights, and large single-figure callouts for key metrics. Technical slides use layered reach diagrams and simple bar charts on the same dark canvas.

Does the deck include financial reconciliations?

Yes. Slides 147–160 reconcile GAAP to non-GAAP gross profit, gross margin, operating expenses, operating income and margin, interest and other loss, net income and diluted EPS for Q2'26, Q1'27 and Q2'27, plus the Q3 FY27 outlook (revenue $3,150M +/- 5%, non-GAAP EPS $1.10 +/- $0.05).

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