# 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](nvidia/comfy-ui/) - [Set Up Local Network Access](nvidia/connect-to-your-spark/) - [Connect Two Sparks](nvidia/connect-two-sparks/) - [CUDA-X Data Science](nvidia/cuda-x-data-science/) - [DGX Dashboard](nvidia/dgx-dashboard/) - [FLUX.1 Dreambooth LoRA Fine-tuning](nvidia/flux-finetuning/) - [Heterogeneous Distributed Inference over RDMA](nvidia/heterogeneous-distributed-inference-rdma/) - [Install and Use Isaac Sim and Isaac Lab](nvidia/isaac/) - [Optimized JAX](nvidia/jax/) - [Live VLM WebUI](nvidia/live-vlm-webui/) - [LLaMA Factory](nvidia/llama-factory/) - [Build and Deploy a Multi-Agent Chatbot](nvidia/multi-agent-chatbot/) - [Multi-modal Inference](nvidia/multi-modal-inference/) - [NCCL for Two Sparks](nvidia/nccl/) - [Fine-tune with NeMo](nvidia/nemo-fine-tune/) - [Nemotron-3-Nano with llama.cpp](nvidia/nemotron/) - [NIM on Spark](nvidia/nim-llm/) - [NVFP4 Quantization](nvidia/nvfp4-quantization/) - [Ollama](nvidia/ollama/) - [Open WebUI with Ollama](nvidia/open-webui/) - [Portfolio Optimization](nvidia/portfolio-optimization/) - [Fine-tune with Pytorch](nvidia/pytorch-fine-tune/) - [RAG Application in AI Workbench](nvidia/rag-ai-workbench/) - [SGLang for Inference](nvidia/sglang/) - [Single-cell RNA Sequencing](nvidia/single-cell/) - [Speculative Decoding](nvidia/speculative-decoding/) - [Set up Tailscale on Your Spark](nvidia/tailscale/) - [TRT LLM for Inference](nvidia/trt-llm/) - [Text to Knowledge Graph](nvidia/txt2kg/) - [Unsloth on DGX Spark](nvidia/unsloth/) - [Vibe Coding in VS Code](nvidia/vibe-coding/) - [vLLM for Inference](nvidia/vllm/) - [VS Code](nvidia/vscode/) - [Build a Video Search and Summarization (VSS) Agent](nvidia/vss/) ## 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](LICENSE) for licensing information. - [LICENSE-3rd-party](LICENSE-3rd-party) for third-party licensing information.