Amazon AI innovation scenes including quantum computing hardware, the inside of a data center, engineering teamwork, and custom chips

How Amazon became one of the world’s top chip companies

Amazon’s custom silicon business exceeded a $25 billion annual revenue run rate—here’s what that means for customers and the future of AI.

Our chips are purpose-built for cloud and AI workloads, delivering the price-performance, scale, and efficiency that let more builders push AI forward.

Amazon has invested over a decade in custom silicon, designing chips in lockstep with the teams building frontier AI models. The result: hardware that arrives optimized for real customer workloads, manufactured and deployed at unprecedented speed and scale.

Learn about Amazon's custom chip innovations

Latest chips news
Read more news about Amazon's custom chips
Launch of TorchNeuron — a Native PyTorch Backend for AWS Trainium
TorchNeuron lets developers run their existing AI code on AWS Trainium chips with virtually no changes, reducing the friction to adopting new hardware.
Amazon’s Senior Vice President Peter DeSantis speaking on stage at AI Infra Summit.
At AI Infra Summit, Amazon SVP Peter DeSantis explained how real customer workloads guided every generation of Amazon's chips, from Nitro to Trainium.
Matt Wood Chief AI and Technology Officer speaking at the AWS Global Meeting to Amazon employees
At the AWS Global Meeting, Matt Wood drew a parallel between AI today and cloud's early days—and brought a live demo to prove the future is already here.
The AWS and NVIDIA logos placed next to each other.
AWS and NVIDIA will deploy 2 million additional GPUs and deepen collaboration across CPUs, networking, and robotics.
Read more news about Amazon's custom chips