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 to Your Spark
• DGX Dashboard
• FLUX.1 Dreambooth LoRA Fine-tuning
• Optimized JAX
• Llama Factory
• MONAI-Reasoning-CXR-3B Model
• Build and Deploy a Multi-Agent Chatbot
• Multi-modal Inference
• NCCL for Two Sparks
• Fine tune with Nemo
• Use a NIM on Spark
• Quantize to NVFP4
• Ollama
• Use Open WebUI with Ollama
• Use Open Fold
• Fine tune with Pytorch
• RAG application in AI Workbench
• RAPIDS
• SGLang Inference Server
• Speculative Decoding
• Stack two Sparks
• Setup Tailscale on your Spark
• TRT LLM for Inference
• Text to Knowledge Graph
• Unsloth on DGX Spark
• Install and use vLLM
• Vision-Language Model Fine-tuning
• Install VS Code
• Video Search and Summarization

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.