dgx-spark-ops — Claude Code plugin: DGX Spark ops
A plugin for setting up and debugging ML workloads on NVIDIA DGX Spark (GB10): CUDA-13 checks, OOM ladders, thermal monitoring.
/plugin marketplace add wshobson/agents
/plugin install dgx-spark-ops@claude-code-workflowsWhat dgx-spark-ops does
This plugin handles the boring parts of an aarch64 Grace Blackwell stack. It checks wheel packages and ABI against CUDA 13, walks through unified-memory OOM ladders, and watches temperature while training runs.
Reach for it when a model dies at startup or a run hits the memory ceiling. The agent follows preflight steps and points at the layer that breaks. Runs in Claude, Claude and Cursor.
It only makes sense if you already have a DGX Spark box to point it at. Without the hardware there is nothing to preflight.
What it helps with
- check wheel compatibility with CUDA 13 on aarch64
- debug unified-memory OOM ladders during training
- set up a Grace Blackwell stack before an ML job
- watch thermals through a long training run
- run a preflight before starting a job
Example prompts for the agent
- Preflight the DGX Spark environment before I start training
- Figure out why unified memory OOMs on GB10
- Run the CUDA 13 aarch64 stack preflight
How to install dgx-spark-ops
Plugin marketplace
/plugin marketplace add wshobson/agents/plugin install dgx-spark-ops@claude-code-workflowsStep by step, with commands for each platform: Claude Code plugins: marketplaces, installing, and building your own
Questions about dgx-spark-ops
How do I install dgx-spark-ops in Claude Code?
Add the marketplace with /plugin marketplace add wshobson/agents, then install the plugin: /plugin install dgx-spark-ops@claude-code-workflows.
What does dgx-spark-ops do?
It preflights a DGX Spark (GB10) environment for ML work: wheel and ABI checks against CUDA 13, unified-memory OOM ladders, thermal monitoring.
Which platforms does the plugin support?
Claude, Claude and Cursor.
Source text
dgx-spark-ops · MIT
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.
© Seth Hobson · MIT · wshobson/agents
