More performance checks of Nvidia PyTorch on DGX Spark

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This post continues the discussion from my last post after a insightful discussion with Sebastian Raschka @rasbt. We dive deeper into the performance characteristics of Nvidia PyTorch on the DGX Spark, specifically focusing on various data types and common AI workloads. TL/DR - Key Points Docker is Crucial for GEMM-heavy Workloads: For tasks relying heavily on General Matrix Multiply (GEMM)…

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