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@e-accelerate

e-accelerate

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  1. Qwen3.8-27B-DFlash2-Triton-Blackwell Qwen3.8-27B-DFlash2-Triton-Blackwell Public

    Qwen3.8-27B on SGLang for Blackwell SM120: DFlash2 block-16 + triton. 268 tok/s on one RTX PRO 5000 (48GB), full 262K context. Measured, with honest sample sizes.

    Shell 2

  2. pd-bridge pd-bridge Public

    Forked from chadhurley25075-png/pd-bridge

    Heterogeneous prefill/decode for DeepSeek-V4-Flash: CUDA prefill (DGX Spark, vLLM) -> Metal decode (Mac Studio, oMLX) over plain 10GbE

    Python 1

  3. GLM-5.3-Flash-EXL3-2x-DGX-Sparks GLM-5.3-Flash-EXL3-2x-DGX-Sparks Public

    Forked from MiaAI-Lab/GLM-5.3-Flash-EXL3-2x-DGX-Sparks

    GLM-5.3 Flash EXL3 for 2-4x DGX Sparks

    Python

  4. glm53-flash-2x-recipe glm53-flash-2x-recipe Public

    GLM-5.3-Flash EXL3 on 2x GB10 (ASUS GX10 + DGX Spark), dual-rail: tuned, measured recipe on MiaAI-Lab's kit

    Python

  5. ai-studio-setup ai-studio-setup Public

    Fixed-price remote setup for DGX Spark / GB10 clusters and private AI studios on RTX workstations

    HTML

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