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The article explains how to determine if a GPU workload is compute-bound or memory-bound by analyzing operations per byte fetched from HBM, using NVIDIA's H100 as an example, and discusses how batching and prompt length affect performance.
DiffusionGemma is out; it's compute-bound and 4x faster than other Gemma-4 models with 1k tok/s on H100, and excels at coding tasks including 3D generation and front-end.
A comprehensive blog post explaining how to optimize deep learning performance by understanding three key components: compute, memory bandwidth, and overhead, using first principles to identify the performance regime and focus on effective optimizations.