dgx-spark-ops

Plugin dgx-spark-ops in smartwatermelon/claude-code-workflows-agents. Commands read from the repo's manifest — 10 days ago.

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.