The Physical AI Toolchain on AWS is an open-source stack for building intelligent machines.
Built on AWS using NVIDIA’s physical AI stack and inspired by Amazon’s robotics expertise.
The next wave of AI is moving beyond the screen and into the physical world, onto factory floors, into warehouses, and on roads. Physical AI is one of the fastest-growing frontiers in technology, and the companies building it need infrastructure that can keep up.
Unlike traditional AI, which processes data and generates text on screens, physical AI enables machines to perceive, understand, and act in the real world. Where conventional machines follow fixed instructions and repeat the same task regardless of what's happening around them, physically intelligent machines sense their environment, reason using cloud-trained AI models, and adapt in real time. Operational data flows back to continuously retrain and improve those models, so the machines get smarter with every cycle.
AWS and NVIDIA will deploy 2 million additional GPUs and deepen collaboration across CPUs, networking, and robotics.
But physical AI is not a single problem with a single solution. The use cases range from machines that work alongside people on production lines to humanoid robots and systems that inspect, move, and manage materials on their own. No two require the same combination of data, models, or hardware. That's why Amazon built the Physical AI Toolchain on AWS, an open-source solution that brings together architecture guidance, deployment automation, and ready-to-use code. Integrated with the NVIDIA Physical AI stack, it covers the complete physical AI development lifecycle.
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