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  • Playbooks
    1 HR

    Multi-modal Inference

    Setup multi-modal inference with TensorRT
    Playbook
  • Playbooks
    Intermediate60 MIN

    Run Multi-Modal Inference with TensorRT

    GPU-accelerated text-to-image generation with diffusion models
    Playbook
  • Retail
    LaunchableDeveloper Example

    Multi-Agent Intelligent Warehouse

    An AI-powered, multi-agent system designed to optimize warehouse operations through intelligent automation, real-time monitoring, and natural language interaction.
    Blueprint

  • Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
    Skill

  • Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation.
    Skill
  • Playbooks
    1 HR

    Build and Deploy a Multi-Agent Chatbot

    Deploy a multi-agent chatbot system and chat with agents on your Spark
    Playbook
  • RTX Workstation
    13 MIN

    How to Build a Multi-GPU AI PC - A Practical Guide

    Many people explore local generative AI for privacy and to avoid token limits, but newer models require significant memory and compute—leading some to adopt multi-GPU setups.
    Playbook
  • Playbooks
    2 HRS

    Connect Multiple DGX Spark through a Switch

    Set up a cluster of DGX Spark devices that are connected through Switch
    Playbook
  • DGX Station
    60 MIN

    Connect Two DGX Stations for Distributed Workloads

    Combined memory and compute over a direct high-speed link
    Playbook
  • Playbooks
    Advanced10 MIN

    Install and Use NVIDIA PAIR

    Run local AI requests through PAIR and route independent Ollama or LM Studio requests across compatible systems.
    Playbook
  • Meta
    Free Endpoint

    llama-guard-4-12b

    Multi-modal model to classify safety for input prompts as well output responses.
    Model
  • NVIDIA
    Downloadable

    canary-1b-asr

    Multi-lingual model supporting speech-to-text recognition and translation.
    Model
  • NVIDIA
    Free Endpoint

    bevformer

    Advanced transformer for multi-frame bird's-eye-view 3D perception in autonomous driving.
    Model
  • Playbooks
    Intermediate60 MIN

    Fine-Tune with NVIDIA NeMo

    Hugging Face model training from single-GPU to multi-node jobs
    Playbook
  • NVIDIA
    DownloadableFree Endpoint

    Kumo Relational

    A relational foundation model for prediction over structured, multi-table data.
    Model

  • Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants
    Skill

  • Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
    Skill

  • Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
    Skill

  • Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
    Skill

  • Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custom synchronized MP4 datasets, import camera calibration,
    Skill

  • Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream b
    Skill

  • Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for
    Skill

  • Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoi
    Skill

  • Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA
    Skill
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