Robotics - powered by Kronos

Ship AI to your robots, in minutes

Robotics teams use Kronos to take a PyTorch model from research to a self- contained binary running on Jetson Orin, Drive AGX, and other Nvidia silicon. What used to be weeks of engineer time becomes a single guided pipeline running on their robots.

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Why Kronos

Built for robotics teams 
shipping AI to production.

Path to Nvidia production, automated. ML engineers stay focused on the model. Kronos handles the rest: environments, version management, custom operators, and the path to a flashed binary.

Research to production, in minutes.

On Jetson Orin, Drive AGX, and other Nvidia silicon. Same source nn.Module, right binary for each target. Recompile, flash.

Optimized for Speed and Accuracy.
Multi-target on Nvidia

Same model. 

Every Nvidia chip.

Kronos compiles your PyTorch model for Jetson Orin, Drive AGX, H100, H200, and other Nvidia silicon from the same source nn.Module. Cloud and edge from the same model. Change the target, recompile.

Custom Kernels

Fusion layers. Custom ops. Compiled natively.

Proprietary fusion modules, custom attention variants, novel architectures: Kronos generates custom kernels for any operator vendor SDKs can't handle. No conversion workarounds. No CPU fallbacks. No dropped layers. Your full model graph, compiled end-to-end.

Production-ready output

Self-contained binaries. Flash and ship.

Kronos produces hardware-native binaries you flash to the device. No PyTorch in production, no SDK to maintain, no cloud dependency. Static, deterministic execution, ready for safety-conscious robotics deployments.

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Customer spotlight

From weeks of work to a single afternoon

A robotics design partner shipping autonomous systems on Nvidia uses Kronos to take models from research to production in minutes, compiled natively.

"A year ago, shipping a new model to production was a multi-week engineering project. Now it's a Friday afternoon. Our ML team builds better models. The deployment is just done."

Challenge

"A year ago, shipping a new model to production was a multi-week engineering project. Now it's a Friday afternoon. Our ML team builds better models. The deployment is just done."

Solution

Kronos compiled the team's models for Jetson Orin and Drive AGX from the same source. Custom modules compiled natively. The conversion pipeline collapsed into one guided run. Self-contained binaries, ready to flash, in a single afternoon.

Products used

Kronos · Gaia

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Verified outcomes

Real numbers, on real silicon.

minutes

PyTorch to flashed binary

days

Not months, per new target

2-3x

End-to-end model speed up

Explore yasp for robotics

Your model. Ship it this week.

See Kronos compile your model for the Nvidia chips you ship on today, and the ones you want to ship on next.

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Products

Ship with Kronos.

Scale with Gaia.

Kronos takes your model from research to a self-contained binary on Nvidia silicon. 
Gaia delivers maximum throughput across Nvidia, AMD, and AWS Trainium. Same agentic platform under the hood.

Kronos

Path to Nvidia production

PyTorch model in, self-contained binary out. Compiles for Jetson Orin, Drive AGX, H100, H200, and other Nvidia silicon. Custom modules compile natively. Weeks of deployment work collapse into a single guided pipeline.

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Gaia

Max throughput, multi-vendor

Inference and kernel optimization across Nvidia, AMD, and AWS Trainium. Agents iterate on inference graphs and kernels at machine speed, finding performance humans miss. CUDA, HIP, Triton output.

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Explore all products
Explore all products