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Creating custom kernels for the AMD MI300

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Key Takeaway

This blog post details the collaboration between Hugging Face and AMD to create optimized kernels for the AMD MI300X GPU. Three custom kernels—fused residual connection/RMS norm/FP8 conversion, fused SwiGLU activation/FP8 conversion, and skinny GEMM—were developed to improve VLLM serving of Llama 3.1 405B in FP8. Performance gains were measured with input size 1 and output size 128, using median decoding latency over 30 iterations.

AI Summary & Analysis
Hugging Face and AMD collaborate to deliver custom open-source kernels for the MI300X GPU, achieving speedups in Llama 3.1 405B inference.
Original Source Coverage
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Related Topics:
#amd#gpu#inference#kernels#llm#mi300#open-source

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