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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

    Install and Use Isaac Sim and Isaac Lab

    30 MIN

    Build Isaac Sim and Isaac Lab from source for Spark

    • DGX
    • Spark
    OverviewOverviewRun Isaac SimRun Isaac SimRun Isaac LabRun Isaac LabTroubleshootingTroubleshooting

    Step 1
    Install Isaac Sim

    If you haven't already done so, install Isaac Sim first.

    Step 2
    Clone the Isaac Lab repository into your workspace

    Clone Isaac Lab from the NVIDIA GitHub repository.

    git clone --recursive https://github.com/isaac-sim/IsaacLab
cd IsaacLab

    Step 3
    Create a symbolic link to the Isaac Sim installation

    Be sure that you have already installed Isaac Sim from Isaac Sim before running the following command.

    echo "ISAACSIM_PATH=$ISAACSIM_PATH"

    Create a symbolic link to the Isaac Sim installation directory.

    ln -sfn "${ISAACSIM_PATH}" "${PWD}/_isaac_sim"
ls -l "${PWD}/_isaac_sim/python.sh"

    Step 4
    Install Isaac Lab

    ./isaaclab.sh --install

    Step 5
    Run Isaac Lab and Validate Humanoid Reinforcement Learning Training

    Launch Isaac Lab using the provided Python executable. You can run the training in one of the following modes:

    Option 1: Headless Mode (Recommended for Faster Training)

    Runs without visualization and outputs logs directly to the terminal.

    export LD_PRELOAD="$LD_PRELOAD:/lib/aarch64-linux-gnu/libgomp.so.1"
./isaaclab.sh -p scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Velocity-Rough-H1-v0 --headless

    Option 2: Visualization Enabled

    Runs with real-time visualization in Isaac Sim, allowing you to monitor the training process interactively.

    export LD_PRELOAD="$LD_PRELOAD:/lib/aarch64-linux-gnu/libgomp.so.1"
./isaaclab.sh -p scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Velocity-Rough-H1-v0

    Resources

    • Isaac Sim Documentation
    • Isaac Lab Documentation
    • DGX Spark Documentation
    • DGX Spark Forum
    • DGX Spark User Performance Guide
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