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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
    • Build Knowledge Graphs with txt2kg
    • Optimized JAX

    tools

    • DGX Dashboard
    • 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

    • Run Hermes Agent with a Local LLM
    • cuTile Kernels
    • CLI Coding Agent
    • Run NemoClaw with a Local LLM
    • 🦞 Set Up Example NemoClaw Agents 🦞
    • 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 Multiple Sparks
    • Build a Video Search and Summarization (VSS) Agent
    • Spark & Reachy Photo Booth
    • Secure AI Agents with OpenShell
    • Run OpenClaw with a Local LLM

    inference

    • Generate Images and Videos with ComfyUI
    • Serve LLMs with vLLM
    • Speculative Decoding
    • Run models with llama.cpp on DGX Spark
    • Nemotron Model Family on DGX Spark
    • Serve LLMs with SGLang
    • TRT LLM for Inference
    • Quantize Models to NVFP4 with NVIDIA Model Optimizer
    • Multi-modal Inference
    • NIM on Spark
    • LM Studio on DGX Spark

    VS Code

    5 MIN

    Install and use VS Code locally or remotely

    • DGX
    • Spark
    OverviewOverviewDesktop UseDesktop UseRemote UseRemote UseTroubleshootingTroubleshooting

    Basic idea

    This walkthrough will help you install and use Visual Studio Code on your DGX Spark. There are two different approaches, depending on how you are accessing your Spark:

    • Desktop Use: Use this path if you use your Spark as a local device, i.e. you work on it directly through a connected keyboard, monitor and mouse.

    • Remote Use: Use this path if you use your Spark as a remote device, i.e. you work on it by connecting to it through SSH over a network.

    What you'll accomplish

    You will set up VS Code on your DGX Spark device for code development, debugging, and execution

    What to know before starting

    You should have basic experience with VS Code, as well as experience relevant to the desktop or remote path:

    • Desktop Use:

      • Minimal experience with installing Linux packages

    • Remote Use:

      • Minimal experience with SSH

    Prerequisites

    • A DGX Spark set up with an active internet connection see NVIDIA docs here
    • sudo privileges to the Spark
    • At least 200MB of disk space for the VS Code application
    • (Remote Use only) VS Code installed on your laptop, downloaded from https://code.visualstudio.com/download.

    Time & risk

    • Duration: 5 minutes
    • Risk level: Low - installation uses official packages with standard rollback
    • Rollback: Standard package removal via system package manager
    • Last Updated: 07/23/2026
      • Clarify options and minor copyedits

    Resources

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