The Operating System for Physical AI
The model was the easy part. Production-ready Linux for everything that comes next—shipping, updating, and maintaining AI hardware at scale.
Trusted by leading hardware and AI teams
Platform Overview
Infrastructure you actually need
One platform from hardware evaluation to fleet scale. No tool sprawl, no stitching together vendors, no rebuilding at every stage.
Start on a Jetson EVK today, deploy to your production hardware tomorrow. One codebase, any silicon—no vendor lock-in, no rebuilding your stack when supply chains shift.
NVIDIA FOCUS (PRIMARY)
- Seamless JetPack version upgrades
- Pre-validated CUDA + TensorRT + ROS combinations
- NVIDIA Preferred Partner—production-ready Jetson from day one
Also Supported
NVIDIA Jetson
Orin Nano, NX, AGX
NVIDIA Jetson Thor
(available Q2-26)
NXP i.MX
8M Plus, 93, 95
Raspberry Pi
4, 5, CM4, CM5
Renesas
x86-64
Supply Chain Freedom
- Single codebase across all silicon vendors
- Switch hardware without rebuilding your stack
Supported Platforms
15+
Board Variants
50+
Partner ODMs
12
Who We Help
You're not a Linux company. We are.
Your job is to build AI products. Ours is to own the infrastructure layer you never wanted to maintain.
Engineering Leaders
Your team is mass-producing embedded systems at the expense of shipping features. Offload the OS layer so they can focus on what differentiates your product.
Jetson Teams
You hit the 100-device wall. JetPack got you to prototype—now you need production-grade OTA, security, and fleet management without starting over. We're the NVIDIA Preferred Partner built for what comes after the demo.
Hardware Integrators
Your customers are building real products, not demos. Help them move from prototype to production with validated hardware and enterprise Linux built for secure, scalable deployments.
Industries
Physical AI is here
AI is leaving the cloud. The next wave runs on real hardware, in real environments, at real scale. We built the infrastructure to get it there.
Get Started
Stop building infrastructure. Start shipping products.
Talk to our team about getting your AI hardware to production—without building a Linux team to do it.


