dgx-spark-ops
v1.0.0NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads
by Seth HobsonMIT38.6kupdated 4 days ago
Source
git clone https://github.com/wshobson/agentsClone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/dgx-spark-ops/ inside the repository.
Layout
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── skills/spark-environment-setup/SKILL.md├── skills/spark-memory-thermal-ops/SKILL.md└── skills/spark-training-gotchas/SKILL.md
Skills3
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.
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.
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.
Manifests2
{
"name": "dgx-spark-ops",
"version": "1.0.0",
"description": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads",
"skills": "./skills/",
"author": {
"name": "Seth Hobson",
"email": "seth@major7apps.com"
},
"license": "MIT",
"interface": {
"displayName": "Dgx Spark Ops",
"shortDescription": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha…",
"category": "Coding"
}
}{
"name": "dgx-spark-ops",
"version": "1.0.0",
"description": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads",
"author": {
"name": "Seth Hobson",
"email": "seth@major7apps.com"
},
"license": "MIT"
}