Amazon Embeds Nvidia Tech Into Its New AI Chips — A Partnership That Could Reshape the AI Infrastructure Race
Amazon and Nvidia have deepened their AI alliance, integrating Nvidia’s accelerated computing technologies directly into Amazon Web Services’ (AWS) next-generation custom silicon — marking a major escalation in the global AI infrastructure arms race.
At AWS re:Invent, the two tech giants unveiled expanded support for Nvidia NVLink Fusion, a new interconnect architecture that links Nvidia GPUs with AWS-designed chips such as Trainium4 and future Graviton processors.
AWS is building its future AI platforms using NVLink Fusion + Nvidia MGX rack architecture, creating a unified high-performance fabric capable of powering the next wave of large-scale AI models.
Advanced GPU Access & Sovereign AI Clouds
AWS is also broadening access to Nvidia’s Blackwell GPUs, which now power AWS’s new AI Factories — dedicated sovereign AI cloud clusters designed for global enterprises needing local, regulation-compliant compute.
Nvidia says this makes industrial-grade AI infrastructure available to “every company and every country,” accelerating what CEO Jensen Huang calls the AI industrial revolution.
AWS is further integrating Nvidia software across its ecosystem:
Nvidia Nemotron models now available on Amazon Bedrock
First major cloud provider to offer serverless vector indexing with Nvidia GPUs
Faster infrastructure for retrieval-augmented generation (RAG) and agentic AI workloads
Physical AI & Robotics Get a Boost
The partnership now extends into robotics:
Nvidia’s Cosmos world models and Isaac robotics platform run natively on AWS, enabling simulation, training, and testing of real-world automation systems at scale.
This marks the next chapter in a 15-year AWS–Nvidia collaboration.
Leadership Remarks
Jensen Huang, Nvidia CEO:
“GPU compute demand is skyrocketing. With NVLink Fusion coming to AWS Trainium4, we’re building the compute fabric for the AI industrial revolution.”
Matt Garman, AWS CEO:
“This collaboration brings customers new capabilities so they can innovate faster than ever.”
AI Platform Strategy: Why Nvidia + Amazon Both Win
Nvidia (valued at US$4.4 trillion, +35% YTD) and Amazon (US$2.5 trillion, +7% YTD) are pursuing a dual-track AI strategy:
1. Amazon sells Nvidia GPUs to OpenAI via AWS
2. Amazon builds Anthropic on Trainium2
Whether OpenAI scales with Nvidia or Anthropic scales with Trainium, both companies benefit — keeping Nvidia and Amazon central to the global AI race.
Price Moves
NVDA +1.33% at US$182.32
AMZN +0.80%
Key Takeaways
Amazon is integrating Nvidia tech directly into its custom AI chips, strengthening both companies’ positions in the AI infrastructure market.
Trainium4 + NVLink Fusion creates a unified compute fabric that improves training performance and scalability.
AWS expands availability of Nvidia Blackwell GPUs and introduces sovereign AI Factories for global, regulation-compliant deployments.
Nvidia software (Nemotron, vector indexing, robotics tools) is now deeply embedded inside AWS services.
The partnership supports both companies’ AI strategies: Nvidia dominates high-end hardware, while Amazon pushes for lower-cost custom silicon through Trainium.
No matter which AI model ecosystem wins — OpenAI or Anthropic — both Nvidia and Amazon remain central to the infrastructure powering it.
Comments
Post a Comment