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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…

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What it does and how to use it

A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/wshobson-agents__spark-environment-setup && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__spark-environment-setup.md -o .claude/skills/wshobson-agents__spark-environment-setup/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: spark-environment-setup
description: 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 Environment Setup

DGX Spark ships a GB10 Grace Blackwell chip: aarch64 CPU, SM121
GPU, 128GB unified memory, CUDA 13. This is a narrower and
younger platform than a standard x86 CUDA 12 box, so package
selection and ABI matching matter more than usual - the wheel
ecosystem f

- 🔒 Full content on the Pro plan (€7.99/month) -

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