One click.
Run anywhere.
Run simulations, training, and inference on optimized cloud compute — without setup, infra work, or local GPU limits.
Works with any simulator, model, or robotics codebase.
Upload your codebase, click Run on Geodesic, and let compute be allocated automatically.
Built for robotics workloads
Run any physical AI workload without changing your stack
Training a pick-and-place policy from real arm demos: wrist camera plus joint angles, 2M gradient steps, batch 256 on 8 H100s. We track everything in Weights & Biases (project physical-ai/manip).
Job is on the 8×H100 pool you asked for.
First step should land in a few minutes once data loading is warm.
We’ll message you if loss looks stuck or you want to change the learning rate.
Save a checkpoint when validation error is small enough or every 15k steps. At the end export one ONNX file—we’ll dry-run it on our Jetson test rack.
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Dynamic Compute
Run any physical AI workload
Run on Geodesic automatically allocates the right compute for simulation, training, and inference — without manual setup or infrastructure work.
No infra management
No GPU configuration, cluster setup, or cloud orchestration. Just connect your codebase and run.
Optimized for heavy workloads
Run large simulators, large models, and compute-intensive robotics pipelines smoothly in the cloud.
Scales with workload demand
Compute resources are allocated dynamically based on what the codebase needs, improving performance and efficiency.
Accessible from any laptop
Users can run advanced physical AI workloads without needing high-end local machines, making compute more accessible and democratic.
One click
Faster physical AI workflows
Less setup, more experimentation — spend less time on environment issues and resource management, and more time building, testing, and improving physical intelligence.