GPU sandboxes for your models and code.

Bring your container, dependencies, and model code. Hedra provides isolated GPU environments and manages scheduling and scaling.

Control your GPU environment.

Run your container, libraries, and custom kernels in an isolated environment. Modify model code and the inference pipeline.

Run on supported NVIDIA and AMD GPUs across Hedra’s data center partners.

Hedra handles placement, scaling, and recovery from hardware failures. You control the code and runtime.

The same infrastructure powers Hedra’s managed inference and post-training.

Change generation steps, caching, and frame scheduling. Run preprocessing and perception alongside generation.

Run the policy and environment on the same GPU, with rollouts fed directly into training.

Generate labeled data from simulated scenes, desktops, or sensor feeds.

Compare models on the same inputs and score their outputs in one environment.

Configure
Choose a container image, dependencies, and GPU requirements.
Run
Launch inference, training, or evaluation code in your sandbox.
Serve or export
Serve an endpoint or move to managed inference. Export your checkpoints and artifacts.

Tell us what you’re running and the performance you need.