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BHCC2025/README.md

BHCC2025 · NVIDIA DGX Spark LLM Setup — Start Here

Run open LLMs such as Qwen and Gemma locally on 1, 2 or 3 NVIDIA DGX Sparks (GB10) with vLLM: tested recipes, one setup script, and multi-Spark tensor parallelism over direct QSFP cables.

What to do first, how to cable two or three Sparks, and which recipe to pick, with measured speeds.

Repositories

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  1. sparkDash sparkDash Public

    Forked from MiaAI-Lab/sparkDash

    sparkDash ⚡ — Multi-DGX Spark Monitoring Dashboard

    JavaScript

  2. DeepSeek-v4.1-Flash-DGX-Sparks DeepSeek-v4.1-Flash-DGX-Sparks Public

    Forked from MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks

    DeepSeek-V4.1-Flash on 3-4x NVIDIA DGX Sparks

    Python

  3. dgx-spark-recipe-kit dgx-spark-recipe-kit Public

    Shared setup kit for DGX Spark recipe repos: node/SSH/dependency checks, cabling detection, fabric IPs, NCCL network test, model staging

    Shell

  4. Qwen3.8-Flash-Next-DGX-Spark-TP1-TP3 Qwen3.8-Flash-Next-DGX-Spark-TP1-TP3 Public archive

    Archived: vLLM recipe for Qwen3.8 Flash Next on 1-3 DGX Sparks. We now use TensorFold; see NVIDIA-DGX-Spark-LLM-Setup.

    Python

  5. Gemma-4-31B-IT-DGX-Spark-TP1-TP2 Gemma-4-31B-IT-DGX-Spark-TP1-TP2 Public

    Gemma-4-31B-IT (NVFP4) on 1 or 2 NVIDIA DGX Sparks with vLLM: TP1/TP2, draft-model speculative decoding, benched (40.6 tok/s code on 2 Sparks)

    Shell

  6. BHCC2025 BHCC2025 Public

    NVIDIA DGX Spark LLM setup — start here: tested vLLM recipes for Qwen and Gemma on 1, 2 or 3 DGX Sparks (GB10), one setup script