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A Quick Guide to Benchmarking AI Models on Azure: ResNet with MLPerf Training v3.0

A Quick Guide to Benchmarking AI Models on Azure: ResNet with MLPerf Training v3.0

Azure's MLPerf Training v3.0 submission showcased their ND H100 v5 virtual machine, featuring 8x NVIDIA H100 Tensor Core GPUs with advanced technologies like NVSwitch and NVLink 4.0, Quantum-2 CX7 InfiniBand, 4th Gen Intel Xeon Scalable processors, and high-speed interconnects. Replicating the results in Azure requires setting up the virtual machine, downloading the necessary container and code, obtaining the ImageNet dataset, and running the ResNet benchmark using the provided configuration file.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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