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mistral.rs v0.8.2: up to 2.8x faster CUDA inference than llama.cpp on GB10, B200, and H100

Hey all! I’ve been working on CUDA performance in mistral.rs, and v0.8.2 is focused on CUDA throughput. The result: on Gemma 4 (dense & MoE), mistral.rs is faster than llama.cpp at every point in my release sweep on GB10

mistral.rs v0.8.2: up to 2.8x faster CUDA inference than llama.cpp on GB10, B200, and H100
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