DGX Spark: Accelerated cuPyNumeric on your desktop cluster
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About Event
NVIDIA cuPyNumeric, a multi-node, multi-GPU NumPy-compatible library, is ideal for domain scientists and researchers to scale their Python and NumPy program to multi-GPU multi–node without having to write complex parallel computing code like MPI.
We’ll demonstrate how to use 2 DGX Spark systems as a desktop cluster to accelerate cuPyNumeric locally.
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