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Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
a680d0472b
Adds a Claude Code plugin structure that exposes each NVIDIA DGX Spark
playbook as a triggerable skill, with an index skill ('dgx-spark') that
routes users to the right leaf based on intent and encodes the
relationship graph between playbooks (prerequisites, alternatives,
composes-with, upgrade paths).
Structure:
- overrides/*.md hand-curated frontmatter + Related sections
- scripts/generate.mjs zero-dep Node generator: nvidia + overrides → skills
- scripts/install.sh symlinks skills into ~/.claude/skills (--plugin mode available)
- skills/ committed, browsable, installable without Node
- .github/workflows/ auto-regenerates skills/ when playbooks/overrides change
Initial curated leaves: ollama, open-webui, vllm, connect-to-your-spark.
Remaining 37 leaves use generator fallback (title + tagline + summary
extracted from README) and can be curated incrementally via overrides/.
|
||
|---|---|---|
| .github/workflows | ||
| nvidia | ||
| overrides | ||
| scripts | ||
| skills | ||
| src/images | ||
| .gitignore | ||
| LICENSE | ||
| LICENSE-3rd-party | ||
| plugin.json | ||
| README.md | ||
DGX Spark Playbooks
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
About
These playbooks provide detailed instructions for:
- Installing and configuring popular AI frameworks
- Running inference with optimized models
- Setting up development environments
- Connecting and managing your DGX Spark device
Each playbook includes prerequisites, step-by-step instructions, troubleshooting guidance, and example code.
Available Playbooks
NVIDIA
- Comfy UI
- Connect Three DGX Spark in a Ring Topology
- Set Up Local Network Access
- Connect Two Sparks
- CUDA-X Data Science
- DGX Dashboard
- FLUX.1 Dreambooth LoRA Fine-tuning
- Install and Use Isaac Sim and Isaac Lab
- Optimized JAX
- Live VLM WebUI
- Run models with llama.cpp on DGX Spark
- LLaMA Factory
- LM Studio on DGX Spark
- Build and Deploy a Multi-Agent Chatbot
- Multi-modal Inference
- Connect Multiple DGX Spark through a Switch
- NCCL for Two Sparks
- Fine-tune with NeMo
- NemoClaw with Nemotron 3 Super and Telegram on DGX Spark
- Nemotron-3-Nano with llama.cpp
- NIM on Spark
- NVFP4 Quantization
- Ollama
- Open WebUI with Ollama
- OpenClaw 🦞
- Secure Long Running AI Agents with OpenShell on DGX Spark
- Portfolio Optimization
- Fine-tune with Pytorch
- RAG Application in AI Workbench
- SGLang for Inference
- Single-cell RNA Sequencing
- Spark & Reachy Photo Booth
- Speculative Decoding
- Set up Tailscale on Your Spark
- TRT LLM for Inference
- Text to Knowledge Graph on DGX Spark
- Unsloth on DGX Spark
- Vibe Coding in VS Code
- vLLM for Inference
- VS Code
- Build a Video Search and Summarization (VSS) Agent
Resources
- Documentation: https://www.nvidia.com/en-us/products/workstations/dgx-spark/
- Developer Forum: https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10
- Terms of Service: https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf
License
See:
- LICENSE for licensing information.
- LICENSE-3rd-party for third-party licensing information.