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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
- Use Open Fold
- RAG application in AI Workbench
- SGLang Inference Server
- Speculative Decoding
- Stack two Sparks
- Setup Tailscale on your Spark
- TRT LLM for Inference
- 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.
