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Alpamayo 2 Edge

nvidia/Alpamayo2-Edge
nvidia/alpamayo2-edge architecture graph
nvidia/alpamayo2-edge architecture graph
  • nvidia/Alpamayo2-Edge
  • BF16
  • H200
Labels
  • Image
  • Text
  • VLA
Build
Embedl-optimized
Precision
BF16
Runtime
PyTorch 2.8.0 with NVIDIA's --accel tuned
Trajectory
6.4 s
Run Alpamayo 2 Edge on H200

Alpamayo 2 Edge is NVIDIA's vision-language-action model for autonomous driving.

Build

Built from NVIDIA’s released weights, nvidia/Alpamayo2-Edge at b92b6aa3, and its released inference code, NVlabs/alpamayo2-edge at 02f55a7.

Methodology

  • Latency: three of this page's PhysicalAI-AV drives, the first 30 decisions of each (one per 0.1 s of driving), sent one after another to the server on the H200 as a streaming client on the vehicle sends them: KServe v2 binary data, each new camera frame as raw RGB, an empty element for each frame the server already holds (about 6 of 22 frames new per decision); the first 3 decisions of each drive are excluded. A decision is the server's whole call from the request's frames to the trajectory: on median 116.6 ms in the model, 18 ms the frames to the GPU and NVIDIA's preprocessing there, 1.4 ms reading the request. Decisions per second is back to back: 1000 / the client's median round trip (153.9 ms).
  • Memory: the server's GPU memory (nvidia-smi, every 50 ms) at its highest during 45 live decisions on real drive frames; the model is its checkpoint's files.

Files

Image Size

Model

docker.io/embedl/model-artifacts:hf.nvidia.alpamayo2-edge.bf16-pytorch-tuned.h200.01ea53fda801a901

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Runtime

docker.io/embedl/models:alpamayo2.h200-pytorch.runtime.amd64.202611111217a78c

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Contact

Peter Kristiansen

Peter Kristiansen

Head of Business Development

Need Alpamayo tailored to your use case?

The download gets you started. For production, we offer a trainable version of the optimized model, so you can fine-tune it on your own data.

We are also happy to help you customize the model for your hardware, your sensors and your driving or robotics scenarios.

Talk to Peter on our sales team to get access and discuss your needs.

Contact sales