跳到主要內容

NVIDIA Announces CPO Optical Interconnect Is in Mass Production, AI Server Shipments Could Grow 31% in 2026 — Is Bandwidth the Next Battleground?

One-sentence takeaway: The AI race is shifting from "compute arms race" to "bandwidth arms race" — NVIDIA's announcement that co-packaged optics (CPO) has entered mass production, combined with AI server shipment growth forecast near 31%, signals the silicon photonics era has officially begun, with optical supply chains as the next major beneficiaries.
NVIDIA SVP Gilad Shainer announced CPO has entered mass production — AI factories worldwide will deploy large numbers of CPO-equipped switches this year

NVIDIA's stock recently closed at $206.64 (up 2.93% in a day), pushing its market cap past $5 trillion. But what really electrified the market wasn't earnings — it was two pieces of news: co-packaged optics (CPO) is now in mass production, and AI server shipments are projected to grow nearly 31% year-over-year in 2026. Optical communication stocks surged immediately, with many hitting daily price limits. Why did "light" suddenly become the star of the AI world?

What is CPO, and why does the AI data center need it?

CPO (Co-Packaged Optics) places optical components directly next to the switch ASIC, letting data travel between chips as light. Traditionally, servers were connected via pluggable optical modules, but AI training demands extremely high bandwidth and low latency between GPUs — copper cables lose bandwidth rapidly over distance, while discrete optical modules are hitting power and density limits.

The significance of CPO: it brings light right next to the chip, dramatically shortening signal paths while cutting power consumption and latency. Broadcom's Tomahawk 5 switch has already shipped over 50,000 units, and the next-generation Tomahawk 6 delivers 102.4 Tbps per chip — the technology has moved from demonstration to commercial deployment. NVIDIA SVP Gilad Shainer confirmed at a technology forum that CPO switches developed with its supply chain have been delivered to core customers and deployed in NVIDIA's own data centers, with large numbers of CPO switches entering AI factories worldwide this year.

AI server shipments up ~31% in 2026 — where does the money come from?

TrendForce raised its 2026 AI server shipment growth forecast from 28% to nearly 31%, driven by capital expenditure from the nine largest cloud service providers (CSPs) — projected to grow about 90% year-over-year, exceeding $886.7 billion. In other words, cloud giants are pouring money into AI infrastructure at double the pace, and that money ultimately flows to servers, switches, cooling, and optical supply chains.

The CPO market is expanding at a 219% revenue CAGR — pluggable modules and CPO will grow in parallel, not replace each other

Importantly, CPO is not an immediate replacement for pluggable optical modules. The analyst consensus: pluggables remain the near-term volume engine, while CPO grows at a faster pace, jointly addressing AI networking's triple constraints of power, density, and copper-reach limits. The two are complementary, not mutually exclusive.

Who are the first movers?

According to people familiar with NVIDIA's plans, CoreWeave, Lambda, and Oracle Cloud Infrastructure (OCI) are the first adopters of NVIDIA Photonics with CPO for scale-out networks. All three are flagship AI cloud computing customers — their adoption signals CPO has moved from "lab technology" into real production environments.

Early CPO adopters have emerged — CoreWeave, Lambda, and OCI are first to deploy NVIDIA Photonics with CPO in scale-out networks

The hidden supply chain gap: indium phosphide

The other side of optical mass production is critical material scarcity. Lumentum notes the supply gap for indium phosphide (InP) — the core material for lasers and photodetectors — has widened to 30%. InP capacity expansion takes years, and cannot be accelerated overnight. This means: even if end demand explodes, material supply could become the bottleneck, giving upstream material players significant pricing power.

What should investors watch?

On valuation, NVIDIA trades around 31.7x trailing earnings — not extreme for a growth stock, but it shows much optimism is already priced in. Key leading indicators to track: the Vera Rubin platform ramp schedule, actual CPO switch penetration in AI factories, and changes in the InP material supply-demand gap. Mass production is just the starting line; the real test is whether volumes can match the hype.

FAQ

Q1: What's the difference between CPO and traditional optical modules? Why is it key for AI data centers?

Traditional designs plug optical modules into the switch faceplate, requiring long signal paths; CPO packages optics directly next to the switch ASIC — shorter paths, lower power, higher density, meeting AI training's extreme bandwidth and latency demands.

Q2: NVIDIA announced CPO mass production — which companies benefit directly?

Optical component and module makers, upstream material suppliers (especially indium phosphide), and the switch supply chain all benefit. But note: some gains already reflect expectations — investors should distinguish "real beneficiaries" from "thematic hype."

Q3: Why does Lumentum say the indium phosphide gap has reached 30%?

InP is the core material for high-speed lasers and photodetectors, with multi-year expansion cycles. CPO mass production and high-speed module demand are exploding simultaneously, so supply can't keep up short-term, widening the gap to ~30% and potentially bottlenecking optical shipments.

Q4: Will CPO replace traditional optical modules?

Not in the near term. Pluggables remain the volume engine; CPO is the faster-growing extension addressing different interconnect layers. Analysts project CPO revenue CAGR of 219% over 2025–2030, while pluggables maintain steady ~30% growth.

Q5: Is the 31% AI server shipment growth forecast reliable?

It's TrendForce's forecast based on nine CSPs' capex (up ~90% to $886.7B). Capex is a strong signal of intent, but actual shipments depend on supply chain capacity, chip availability, and end-demand realization — treat it as a directional trend, not an exact guarantee.

留言

這個網誌中的熱門文章

Intel 14A Defect Density Is Its Best Since 22nm — Is Intel Back in the Leading-Edge Race?

One-sentence takeaway: Intel's 14A process is cutting defect density faster than any node since 22nm, and customers have moved from watching to asking about capacity — if risk production stays on track for H2 2027, it's the strongest signal yet that Intel is back in the leading-edge game. "We have not seen this performance since 22nm." When Intel CFO David Zinsner dropped that line at the Deutsche Bank 2026 technology conference, the semiconductor world took notice. 14A — Intel's first 1.4nm-class node — is backing up the company's comeback story with data, not slogans. What is 14A, and why it matters 14A is Intel's most advanced planned process node, a "1.4nm-class" technology targeting high-volume manufacturing in 2028. It packs three headline technologies: second-generation RibbonFET gate-all-around transistors, PowerDirect backside power delivery, and High-NA EUV lithography. In short, it's the most technically complex node Intel ...

Google's Antitrust Remedies Enter Deep Water: Breakup, AI Mode, and the Browser

Bottom line: The U.S. DOJ's remedies phase against Google is redefining the commercial rules of "search" — from Chrome's fate to AI distribution and the ad business, every step could reshape global tech. Google's search monopoly case has been called "the most important antitrust case of the internet era." In August 2024, a federal judge ruled Google violated antitrust law; now the remedies phase is in deep water. The DOJ's proposals include breaking up the ad business, divesting Chrome, and ending default search agreements — each step ripples through the entire tech industry. Timeline: from monopoly ruling to remedies In August 2024, the D.C. federal court ruled that Google violated the Sherman Act by paying billions annually to make Apple, Samsung, and others set Google as the default search engine. The remedies trial runs through 2026, with DOJ options including: Breaking up the ad business: Google's ad tech stack is accused of stifl...

Why Is NVIDIA Spending Billions to Buy Up America's "Dark Fiber"?

One-line conclusion: NVIDIA is reportedly spending $5–10 billion to acquire long-haul "dark fiber" networks across the United States, signaling that the AI infrastructure race is shifting from raw compute power to the networks that connect it. NVIDIA is reportedly acquiring long-haul "dark fiber" networks across the United States, with total capacity estimated at 7.6 Pbps and a price tag between $5 billion and $10 billion. The news sent optical communications stocks surging globally: Taiwan's optical module makers jumped on July 22, and three more hit the daily limit on July 23. Many now read this as the moment the AI arms race moved from "who has more GPUs" to "who owns the network." What Is Dark Fiber, and Why Buy Instead of Lease? Dark fiber refers to fiber-optic cable that has already been laid but has no transmission equipment installed and carries no optical signal . The fiber cores sit "dark" and dormant, waiting to...