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AMD MI355X kernel optimizations show 4x performance boost, still trails competitors

A recent kernel hackathon organized by AMD and the GPU_MODE community has led to a significant performance improvement for AMD's MI355X graphics card. The Readonflow Team's optimized kernels reportedly boosted end-to-end upstream MI355X performance by over four times. While this advancement shows promise, AMD's vLLM performance on Kimi models still lags behind competitors, though future improvements are anticipated. AI

IMPACT Optimizations in hardware kernels could lead to more efficient AI model execution, potentially lowering inference costs.

RANK_REASON The item discusses performance benchmarks and optimizations for hardware, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]

Read on X — SemiAnalysis →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AMD MI355X kernel optimizations show 4x performance boost, still trails competitors

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The item discusses performance benchmarks and optimizations for hardware, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. X — SemiAnalysis TIER_1 Tiếng Việt(VI) · SemiAnalysis_ ·

    AMD MI355X vLLM HAS BEATEN B200 vLLM ON KIMI K2.5 (THE SAME MODEL ARCH AS XAI CURSOR COMPOSER 2.5)🚀🚨

    AMD MI355X vLLM HAS BEATEN B200 vLLM ON KIMI K2.5 (THE SAME MODEL ARCH AS XAI CURSOR COMPOSER 2.5)🚀🚨 This uses upstream AMD kernels from the @GPU_MODE community. We explain below 👇 1/6🧵 https://t.co/98vEM7Z2vK