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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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.
On Jetson Orin, Drive AGX, and other Nvidia silicon. Same source nn.Module, right binary for each target. Recompile, flash.
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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.
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.
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."
"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."
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.
PyTorch to flashed binary
Not months, per new target
End-to-end model speed up
See Kronos compile your model for the Nvidia chips you ship on today, and the ones you want to ship on next.
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.
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.