NVIDIA/dgx-spark-playbooks

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

• Register AI Compute with Brev
• Set Up CLI Coding Agents with Local Inference
• Generate Images and Videos with ComfyUI
• Connect Multiple DGX Sparks for Distributed Workloads
• Connect Three DGX Sparks in a Ring Topology
• Use NVIDIA Sync to Connect Remotely to Your AI Compute
• Connect Two DGX Sparks for Distributed Workloads
• Connect Two Nodes for Distributed Workloads
• Accelerate Data Science with CUDA-X Libraries
• Run cuPyNumeric Across Two DGX Sparks
• Run cuTile Kernels on DGX Spark
• Monitor Your AI Compute with DGX Dashboard
• Set Up Agent Skills for DGX Station
• Fine-Tune Specialized LLMs with Unsloth
• Fine-Tune FLUX.1 for Custom Image Generation
• Fine-Tune Isaac GR00T for Robot Skills
• Run Healthcare Agents with Local Inference
• Run Hermes Agent with a Local LLM
• Set Up Isaac Sim and Isaac Lab
• Accelerate JAX Performance
• Speed Up Fine-Tuning with Triton Kernels
• Stream Real-Time Video to a Vision Language Model
• Serve Models with llama.cpp
• Fine-Tune LLMs with LLaMA Factory
• Run Local LLMs
• Serve LLMs with LM Studio
• Set Up Claude Code with Local Inference
• Set Up Multi-Instance GPU (MIG)
• Build and Deploy a Multi-Agent Chatbot
• Build a Multi-GPU AI PC
• Run Multi-Modal Inference with TensorRT
• Connect Multiple DGX Sparks Through a Switch
• Run Chat Model Training with nanochat
• Set Up NCCL for Multi-Node GPU Communication
• Fine-Tune with NVIDIA NeMo
• Run NemoClaw with a Local LLM
• Set Up Example NemoClaw Agents
• Serve Nemotron Nano and Super Models
• Deploy NVIDIA NIM for LLM Inference
• Run NVFP4 Pretraining with Megatron Bridge
• Quantize Models to NVFP4 with NVIDIA Model Optimizer
• Chat with LLMs Using Open WebUI and Ollama
• Run OpenClaw with a Local LLM
• Secure AI Agents with OpenShell
• Install and Use NVIDIA PAIR
• Accelerate Portfolio Optimization with cuOpt
• Fine-Tune with PyTorch
• Build a RAG Application with AI Workbench
• Serve LLMs with SGLang
• LLM Inference with SGLang
• Accelerate Single-Cell RNA Data Analysis
• Build an AI Photo Booth with Reachy and DGX Spark
• Speed Up Inference with Speculative Decoding
• Set Up Tailscale for Remote Access
• Example Test Playbook
• Accelerate Topic Modeling with BERTopic
• Serve LLMs with NVIDIA TensorRT-LLM
• Build Knowledge Graphs with txt2kg
• Fine-Tune Faster with Unsloth
• Set Up Vibe Coding in VS Code
• Generate Controlled Video with ComfyUI
• Generate Images and Video with ComfyUI
• Serve LLMs with vLLM
• Fine-Tune Vision Language Models
• Set Up VS Code for Local and Remote Development
• Deploy a Video Search and Summarization 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.