❓ [Question] Is there any way to deploy on a single machine with multi-gpus？

[SZ-ing]

❓ Question

What you have already tried

Environment

Build information about Torch-TensorRT can be found by turning on debug messages

• PyTorch Version (e.g., 1.0):
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Additional context

As the title, I have a machine with multiple GPUs and I would like to know if there is any way to evenly distribute the model across these GPUs. Is there any way to achieve this?

[narendasan]

Take a look at these tutorials:

• https://pytorch.org/tutorials/beginner/dist_overview.html.
• https://github.com/pytorch/TensorRT/pull/3047

There are many tools out there to help convert a model to one that can run on multiple GPUs that can help automate this: https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/ https://huggingface.co/docs/accelerate/basic_tutorials/launch