A user has successfully optimized a custom vLLM fork to achieve significantly improved performance on Radeon Pro V620 GPUs. This setup, utilizing 8 Radeon Pro V620 cards with a total of 256 GB of VRAM, achieved decode speeds of 60-100 tokens/s and prefill speeds exceeding 3000 tokens/s with the Qwen3.8-Flash-Next model. The user initially struggled with llama.cpp, which offered much lower prefill speeds, and found that vLLM did not initially support the V620 cards. Their custom kernel development for RDNA2 architecture resolved these issues, leading to performance gains of approximately 800% over llama.cpp. AI
IMPACT Demonstrates potential for significant performance gains on consumer/prosumer hardware through custom software optimization.
RANK_REASON User-developed optimization for existing hardware and software.
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