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
• 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
• LLaMA Factory
• Build and Deploy a Multi-Agent Chatbot
• Multi-modal Inference
• NCCL for Two Sparks
• Fine-tune with NeMo
• Nemotron-3-Nano with llama.cpp
• NIM on Spark
• NVFP4 Quantization
• Ollama
• Open WebUI with Ollama
• Portfolio Optimization
• Fine-tune with Pytorch
• RAG Application in AI Workbench
• SGLang for Inference
• Single-cell RNA Sequencing
• Speculative Decoding
• Set up Tailscale on Your Spark
• TRT LLM for Inference
• Text to Knowledge Graph
• 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.