Amazon Nvidia GPU Deal Expands to 2 Million Chips
The Amazon Nvidia GPU deal just got significantly bigger. Amazon and Nvidia announced Wednesday an expanded partnership that triples Amazon’s original order, bringing the total to 2 million Nvidia GPU chips destined for Amazon Web Services’ data centers.
This massive Amazon Nvidia GPU deal includes Nvidia’s most advanced processors: Blackwell Ultra, Rubin, and Rubin Ultra GPUs. These specialized chips are designed to handle the intense computational demands of training and running large-scale AI models.
The announcement came during Nvidia’s quarterly earnings call, just five months after Amazon initially committed to deploying over 1 million Nvidia GPUs starting this year. Nvidia stated that “demand has exceeded those expectations,” driving the rapid expansion.
While neither company disclosed financial terms, industry experts estimate the Amazon Nvidia GPU deal is worth tens of billions of dollars based on current GPU unit costs.
Why the Amazon Nvidia GPU Deal Grew So Quickly
The accelerated expansion reflects surging demand from multiple customer segments. Startups, enterprises, AI labs, and even governments are driving what the companies described as “surging demand” for AI compute capacity.
The Amazon Nvidia GPU deal extends beyond simple chip procurement. Nvidia’s broader technology stack—including networking hardware that connects thousands of GPUs into unified systems, open models, CPUs, data processing software, and the robotics platform—will also be integrated across AWS infrastructure.
This comprehensive approach means AWS customers will benefit from Nvidia’s full ecosystem rather than just isolated GPU instances. The integration creates a more seamless experience for developers and enterprises building AI applications.
Amazon’s Custom Chip Strategy Alongside Nvidia
The Amazon Nvidia GPU deal comes as Amazon continues investing heavily in its own custom AI chips. Amazon has been developing Trainium chips as direct alternatives to Nvidia’s H100 and Blackwell processors for deep learning workloads.
Amazon’s AI chief, Peter DeSantis, has confirmed that AWS is in talks to sell Trainium chips to other companies for use in their own data centers. Amazon’s Arm-built Graviton CPU has also emerged as a serious challenger to traditional server processors from Intel and AMD.
Despite these internal efforts, the Amazon Nvidia GPU deal demonstrates that Nvidia remains the dominant force in AI computing. Amazon’s custom chip business is growing—crossing a $25 billion annualized revenue run rate on its last earnings call, driven by $225 billion in total commitments from AI labs like Anthropic and OpenAI.
Yet the scale of the new Amazon Nvidia GPU deal suggests that even with its own silicon efforts, Amazon recognizes Nvidia’s unmatched position in high-performance AI computing.
Nvidia’s Financial Strength and Market Position
Nvidia reported remarkable quarterly results alongside the Amazon Nvidia GPU deal announcement. The company recorded $96.2 billion in sales for the second quarter, exceeding analyst expectations.
Data center revenue made up the bulk of Nvidia’s sales at $89 billion, representing a 117% increase year-over-year. Nvidia projects third-quarter revenue to reach $108 billion, with initial Rubin GPU sales expected to contribute meaningfully.
Nvidia has committed $279 billion to secure supply and manufacturing capacity for current and future data-center projects. This is up substantially from $119 billion last quarter as the chipmaker positions itself to meet sustained AI demand.
The commitment includes $92 billion in projected spending for the rest of the fiscal year and another $87 billion in fiscal year 2028.
What the Amazon Nvidia GPU Deal Means for Enterprise AI
The Amazon Nvidia GPU deal brings significant benefits to enterprise customers. AWS will serve Nvidia’s Nemotron family of open models on Amazon Bedrock and SageMaker, making advanced AI capabilities more accessible to businesses.
On the physical AI front, Amazon plans to adopt Nvidia’s full robotics stack to power its warehouse robot fleet. This includes:
Omniverse – Simulation and digital twin platform for testing robotic systems
Cosmos – World model platform for understanding physical environments
Isaac – Robotics development platform for building and deploying robots
Jetson – Computing hardware for robots and edge AI applications
Nvidia recently launched a new Jetson version designed as a more accessible robotics computer for entry-level edge AI deployments.
Nvidia’s CPU Expansion and Broader Ecosystem
The Amazon Nvidia GPU deal also includes Nvidia’s Vera CPUs. Nvidia CFO Colette Kress noted that Vera CPUs will be sent to Amazon, “some integrated with Rubin, others standalone.”
Nvidia CEO Jensen Huang has ambitious plans for Vera, claiming in May that he had found a “brand-new $200 billion TAM” for the company’s CPUs. Kress confirmed Wednesday that Vera is expected to be deployed by “every major hyperscaler, neocloud, AI lab, and system OEM,” including Oracle and SpaceXAI.
This CPU expansion positions Nvidia as more than just a GPU company. The Amazon Nvidia GPU deal reflects a broader trend of Nvidia becoming a full-stack AI computing provider.
The Road Ahead for AI Infrastructure
Nvidia CEO Jensen Huang framed the current AI landscape optimistically during the earnings call. “The thing that matters for the industry is that AI is now doing productive and useful work,” Huang said. “AI is generating profitable tokens… If we had more compute, we could generate more profitable tokens, which results in more profit for all of the services.”
Huang added, “This is the exact phase where we’re at, which is the reason why everybody’s leaning in.”
The Amazon Nvidia GPU deal exemplifies this industry-wide “leaning in” to AI infrastructure investment. With hundreds of billions of dollars flowing into AI compute capacity, the question remains whether additional compute will translate directly into proportional profits.
Investors will be watching closely to see if the massive infrastructure spending yields sustainable returns for both chipmakers and cloud providers.
The Amazon Nvidia GPU deal represents one of the largest AI infrastructure commitments in recent history. By tripling its order to 2 million Nvidia GPUs, Amazon is positioning AWS to meet surging demand for AI computing power while maintaining strategic partnerships with the industry’s leading chipmaker.
The deal balances Amazon’s internal chip ambitions with the practical reality of Nvidia’s current market dominance. For businesses, developers, and AI practitioners, this expanded partnership promises greater access to cutting-edge computing resources and integrated AI services on the AWS platform.
As AI continues to generate profitable workloads across industries, partnerships like the Amazon Nvidia GPU deal will shape the competitive landscape of cloud computing and AI infrastructure for years to come.
