Marvell raises prices across the board: Advanced technology empowers major AI chip manufacturers, what are the strengths of its products?

Marvell (Marvel Electronics) announcedThe entire product line will increase in price starting from January 1, 2025, the direct trigger isAI demand explodeswithAdvanced process costs rise, behind which is its strong position in AI infrastructure fields such as data center interconnection, CXL, and custom ASIC.

1. Core reasons for price increase

• AI demand explodes: 800G PAM, 400ZR and other optical communication products drive data center revenueA year-on-year increase of over 90%, AI-related revenue tripled annually.
• Supply chain investment surges: In order to expand production, build diversified bases, and follow up on 5nm/3nm/2nm processes, investment continues to increase.

• OEM costs rise: TSMC’s advanced process (especially below 5nm) is expected to increase in price again, and cost pressure will be transmitted.

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2. AI core product line and technical advantages

1. Optical communication DSP (main force in AI high-speed interconnection)

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• Orion（5nm）: The industry’s first 800G coherent DSP supports high-density interconnection of AI cloud data centers.
• Spica/Nova PAM4: Covering 100G–1.6T, providing for AI trainingultra high speed data channel。

• Co-packaged optics (CPO): Integrating the optical engine into the XPU package improves bandwidth and greatly reduces power consumption, and can be expanded toMulti-rack AI cluster。

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2. CXL memory and computing (AI computing power bottleneck breakthrough)

• Structera A near-memory accelerator: Integrated processor + multiple memory channels, optimized deep learning recommendation model (DLRM).

• Structera X memory expansion: Four channels, supporting memory database, etc.High bandwidth applications。

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3. 5nm/3nm/2nm advanced process matrix

• 5nm: OCTEON 10 DPU, 112G SerDes, Alaska Ethernet chip.
• 3nm: PCIe 6.0/CXL 3.0 SerDes, 240Tbps chip interconnect IP.

• 2nm: Jointly developed with TSMCThe industry’s first 2nm infrastructure chip platform;2nm custom SRAM bandwidth densityIndustry leading, standby power consumptiondown 66%。

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4. Customized ASIC (the main force behind the cloud giant’s AI chip)

• For AWS, Microsoft, Meta, and moreDeeply customized AI accelerator (XPU)。
• Full process customization (architecture → IP → tape-out → mass production), delivery cycle7–9 months。

• Integrated HBM, 3D packaging, Chiplet,Computational power density and energy efficiency are significantly better than general-purpose GPUs。

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5. DPU / switch / storage (full stack coverage of data center)

• OCTEON 10（5nm ARM）: Industry-leading DPU, supporting data centers and 5G base stations.
• Teralynx/Prestera: Multi-terabit, low-latency switch, suitable for AI and cloud data centers.

• PCIe 6.0 retimer: Optimize AI server CXL memory decoupling and high-speed interconnection.

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3. Summary of core competitiveness

1. Full stack technology closed loop: Computing (XPU/DPU) + high-speed interconnect (optical DSP/SerDes/CXL) + storage (controller/retimer) + security,Full coverage of AI infrastructure。
2. Cutting edge of manufacturing process: 5nm mass production, 3nm implementation, 2nm advancement, deeply tied to TSMC.。
3. Customized barriers: Cloud vendorDeeply customized ASIC, the product is highly suitable for AI training/inference scenarios.

4. Optical interconnection monopoly: 800G/1.6T optical communication DSP, CPO technology,AI data highway core supplier。

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4. Impact of price increase

• Strong performance support: AI demand is rigid, and price increases are expected to drive revenue and profits up again.
• Industry transmission: Optical communications, data center chips orFollow the price increase, AI infrastructure costs are rising.

• Domestic replacement window: Domestic optical interconnection, CXL, and DPU manufacturers welcomeBreakthrough opportunities。

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Marvell is not the star of AI chips, but it isThe cornerstone behind the data center computing network——Advanced technology + full-stack customization + optical interconnection form its irreplaceable moat.