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onboarding

  • Set Up Local Network Access
  • Open WebUI with Ollama

data science

  • Single-cell RNA Sequencing
  • Portfolio Optimization
  • CUDA-X Data Science
  • Text to Knowledge Graph
  • Optimized JAX

tools

  • DGX Dashboard
  • Comfy UI
  • RAG Application in AI Workbench
  • Set up Tailscale on Your Spark
  • VS Code
  • Connect Three DGX Spark in a Ring Topology
  • Connect Multiple DGX Spark through a Switch

fine tuning

  • FLUX.1 Dreambooth LoRA Fine-tuning
  • LLaMA Factory
  • Fine-tune with NeMo
  • Fine-tune with Pytorch
  • Unsloth on DGX Spark

use case

  • NemoClaw with Nemotron 3 Super and Telegram on DGX Spark
  • cuTile Kernels
  • CLI Coding Agent
  • Live VLM WebUI
  • Install and Use Isaac Sim and Isaac Lab
  • Vibe Coding in VS Code
  • Build and Deploy a Multi-Agent Chatbot
  • Connect Two Sparks
  • NCCL for Two Sparks
  • Build a Video Search and Summarization (VSS) Agent
  • Spark & Reachy Photo Booth
  • Secure Long Running AI Agents with OpenShell on DGX Spark
  • OpenClaw 🦞

inference

  • LM Studio on DGX Spark
  • Speculative Decoding
  • Run models with llama.cpp on DGX Spark
  • Nemotron-3-Nano with llama.cpp
  • SGLang for Inference
  • TRT LLM for Inference
  • NVFP4 Quantization
  • Multi-modal Inference
  • NIM on Spark
  • vLLM for Inference

VS Code

5 MIN

Install and use VS Code locally or remotely

DGXSpark
OverviewOverviewDirect InstallationDirect InstallationAccess with NVIDIA SyncAccess with NVIDIA SyncTroubleshootingTroubleshooting

Step 1
Install and configure NVIDIA Sync

Follow the NVIDIA Sync setup guide to:

  • Install NVIDIA Sync for your operating system
  • Configure which development tools you want to use (VS Code, Cursor, Terminal, etc.)
  • Add your DGX Spark device by providing its hostname/IP and credentials

NVIDIA Sync will automatically configure SSH key-based authentication for secure, password-free access.

Step 2
Launch VS Code through NVIDIA Sync

  • Click the NVIDIA Sync icon in your system tray/taskbar
  • Ensure your device is connected (click "Connect" if needed)
  • Click on "VS Code" to launch it with an automatic SSH connection to your DGX Spark
  • Wait for the remote connection to be established (your local machine may ask for a password or to authorize the connection)
  • You may be prompted to "trust the authors of the files in this folder" when you first land in the home directory after a successful SSH connection

Step 3
Validation and follow-ups

  • Verify that you can access your DGX Spark's filesystem with VS Code as a text editor
  • Open the integrated terminal in VS Code and run test commands like hostnamectl and whoami to ensure you are remotely accessing your DGX Spark
  • Navigate to a specific file path or directory and start editing/writing files
  • Install VS Code extensions for your development workflow (Python, Docker, GitLens, etc.)
  • Clone repositories from GitHub or other version control systems
  • Configure and locally host an LLM code assistant if desired

Resources

  • VS Code Documentation
  • DGX Spark Documentation
  • DGX Spark Forum
  • DGX Spark User Performance Guide
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