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GitHub - ryanzhou/deepseek-v4-flash-mi300x
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GitHub - ryanzhou/deepseek-v4-flash-mi300x

Hacker NewsΒ·GitHub - ryanzhou/deepseek-v4-flash-mi300xΒ·about 1 month ago
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DeepSeek V4 Flash on a single AMD MI300X This repository contains the configuration and patches I use to run deepseek-ai/DeepSeek-V4-Flash-0731 on one AMD MI300X in production. It includes the Docker Compose stack, SHA-256-pinned file overlays, reference diffs against upstream, and tuning tables. The checkpoint runs as shipped, without additional weight quantization or offload. Results from the pinned stack (vLLM ROCm nightly 0.26.1rc1.dev229+g124154a88.rocm723 , AITER 0.1.19 ): Metric Result Single-stream decode (median per-stream, DSpark-7) 168.6 tok/s Prefill with tuned kernels β‰ˆ 7.9–8.5K tok/s (6,988–7,019 tok/s on fresh prompts in the shipping profile) 8 concurrent streams 542 tok/s aggregate, 90.3 tok/s median per stream 64-stream burst 830 tok/s aggregate, no OOM, no engine errors Context 256K validated (the architecture supports 1M) Weights in HBM 156.67 GiB β€” no additional quantization or weight offload The official vLLM recipe targets NVIDIA and newer AMD hardware.…

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