Nvidia Ramps Up the AI Arms Race as Rivals Circle and Supply Chains Stretch to the Limit
Santa Clara, Calif. — Nvidia remains the gravity center of the global artificial intelligence boom, but the ground beneath it is shifting. In the space of a single week in late October 2026, the chipmaker announced billion-dollar supply chain deals, a multi-gigawatt cloud expansion with Oracle, a deepened partnership with Meta, and a November 17 earnings date that has Wall Street on edge. The flurry of activity underscores a company operating at full throttle — and a market starting to ask how long such a trajectory can hold.
A Web of Deals From Berlin to Las Vegas
At its GTC conference in Berlin on October 21, Nvidia unveiled a sweeping capacity buildup with six major suppliers. Substrate agreements with IBIDEN, Samsung Electro-Mechanics and Unimicron are set to drive a 2.5x increase in capacity over three years; Amkor plans to grow advanced packaging capacity by more than 300% by the end of 2028; KYEC will build new U.S. facilities backed by a $1.1 billion capacity reservation advance from Nvidia; and SPIL is targeting a 15x expansion in optical-engine capacity for co-packaged optics by mid-2027. Days later, at Oracle AI World in Las Vegas, the two companies said they would scale Oracle Cloud Infrastructure superclusters with Vera Rubin NVL72 systems to multi-gigawatt magnitude, with the Vera CPU now generally available and HGX Rubin NVL8 systems planned. On October 26, Nvidia and Meta announced an expanded collaboration on the Muse family of models — a tie-up Reuters reported comes alongside a roughly $3 billion Nvidia investment and Meta's plan for its largest-ever stock sale, near $95 billion, to finance its AI push.
Yet dominance is no longer synonymous with a monopoly. Epoch AI estimates that Nvidia held 63% of AI chip supply in the second quarter of 2026, measured in H100-equivalents, with Google at 25%, Amazon at 5%, AMD at 4% and Huawei at 3%. The competitive pressure is most visible in the cloud, where Oracle — one of Nvidia's marquee customers — added AI chips from Google, Cerebras and SambaNova to its lineup explicitly to reduce reliance on the chipmaker. Google, Amazon, Microsoft, Meta, OpenAI and Anthropic all either sell or are developing their own silicon, and Nvidia has previously acknowledged that hyperscalers generate roughly half of its revenue. Meanwhile, Nvidia reported $96.2 billion in revenue in the prior quarter, a figure that dwarfs rivals but also raises the bar for continued hypergrowth.
Geopolitics adds another layer of strain. According to an IDC report, Nvidia's shipments of data center AI chips to China fell 44% year over year in the first half of 2026 as U.S. export restrictions limited sales of its most advanced parts and production constraints throttled deliveries of export-compliant alternatives. Compounding the problem, export licenses for its H200 chips require shipment to the United States for inspection before delivery to China, exposing them to a 25% import tariff that Nvidia says it cannot pass on to customers. IDC data shows Huawei captured 28% of Chinese data center AI accelerator shipments in the period, narrowing the gap with Nvidia's 34% share — a trend the company has warned could cement rivals' developer ecosystems for years to come.
Market sentiment has grown correspondingly jittery. In mid-October, a prominent semiconductor ETF fell for an eighth consecutive session after a Financial Times report indicated Anthropic's revenue growth decelerated to roughly 50% sequential growth in the September quarter, versus nearly 145% the quarter before. Analysts framed the print as a litmus test for the entire AI trade, even as CEO Jensen Huang told reporters in September that he expects Nvidia to sell twice as many chips next year as it does this year — part of what the company has characterized as continued growth across six quarters. Nvidia also authorized a $150 billion increase to its share repurchase program and pledged $1 billion over five years to U.S. research in quantum computing, healthcare and energy security, alongside a $250 million U.K. agentic safety commitment.
The strategic logic is clear: with demand outstripping supply, Nvidia is buying its way up and down the stack — pre-paying suppliers for capacity, embedding itself in cloud deployments, and hedging against customer in-house silicon by becoming indispensable in software, networking and full-stack "AI factory" infrastructure. The company is pushing beyond chips into robotics through the Isaac platform and a new reference humanoid, into observability with the Minerva platform, and onto consumer devices with RTX Spark laptops running Blackwell-based local AI.
Whether that breadth translates into durable insulation is the question hanging over the November 17 third-quarter conference call for fiscal 2027. Investors will be listening for guidance on volume as capacity comes online, pricing power as customers diversify, and any read on China. For now, Nvidia remains the indispensable vendor of the AI era — but the deals, dollars and defensive maneuvers of the past fortnight suggest it is preparing for a far more contested decade.
