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Scaling Machine Learning Workloads on GPU Clusters

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MLServe

Scaling Machine Learning Workloads on GPU Clusters

  • Configured an NVIDIA GPU cluster with CUDA, cuDNN, and Jaxlib.
  • Used Alpa to leverage model parallelism and statistical multiplexing to scale inference workloads across GPUs using Ray framework.

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