claudecodex

dgx-spark-ops

NVIDIA DGX Spark (GB10) environment operations. Use when setting up, preflighting, or debugging ML workloads on DGX Spark or aarch64 Blackwell hardware — CUDA-13 wheel/ABI checks, unified-memory OOM ladders, thermal monitoring.

0 on GitHubby Seth Hobsonv1.0.0MITupdated 11 days agoai-ml
/

Plugin dgx-spark-ops from marketplace claude-code-workflows in DerithAI/agents. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (3)

  • spark-environment-setup

    Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.

  • spark-memory-thermal-ops

    Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.

  • spark-training-gotchas

    Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

Slash commands (1)

  • /dgx-spark-ops:spark-preflight

    Preflight a DGX Spark system for an ML training or inference workload and emit env-report.json

Subagents (1)

  • dgx-spark-ops-engineer

    NVIDIA DGX Spark environment doctor for GB10/aarch64/CUDA-13 systems. Diagnoses and fixes ML stack setup, unified-memory, and thermal issues. Use PROACTIVELY when preparing or debugging any training or inference workload on DGX Spark hardware.

View source on GitHub sethhobson.com

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