Running Nvidia CUDA PyTorch container project/pipelines on AMD with no changes

1 pointmedicis1230 comments

Hi, I wanted to share some information on this cool feature we built in WoolyAI GPU hypervisor, which enables users to run their existing Nvidia CUDA pytorch/vLLM projects and pipelines without any modifications on AMD GPUs. ML researchers can transparently consume GPUs from a heterogeneous cluster of Nvidia and AMD GPUs. MLOps don't need to maintain separate pipelines or runtime dependencies. The ML team can scale capacity easily. Please share feedback, and we are also signing up Beta users. https://youtu.be/MTM61CB2IZc

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