Search results

• Intermediate60 MIN

  Fine-Tune with NVIDIA NeMo

  Hugging Face model training from single-GPU to multi-node jobs

  Playbook
• Intermediate30 MIN

  Deploy NVIDIA NIM for LLM Inference

  Prebuilt, GPU-optimized model containers with a ready-to-use HTTP endpoint

  Playbook
• Advanced60 MIN

  Run LLMs on Your NVIDIA Device

  Choose a model and spin it up locally on your NVIDIA device

  Playbook
• Intermediate10 MIN

  Install and Use NVIDIA PAIR with llama.cpp

  Route independent local AI requests across paired systems using llama.cpp, Ollama, or LM Studio

  Playbook
• Beginner5 MIN

  Use NVIDIA Sync to Connect Remotely to Your AI Compute

  Reach your machine remotely via NVIDIA Sync

  Playbook
• Intermediate60 MIN

  Quantize Models to NVFP4 with NVIDIA Model Optimizer

  Cut memory ~3.5× vs FP16 while keeping accuracy close to FP8, then validate with an OpenAI-compatible endpoint

  Playbook
• 5 MIN

  How to Get Started With Large Language Models on NVIDIA RTX PCs

  Learn about using LLMs locally on PCs and workstations with Ollama, AnythingLLM, and LM Studio.

  Playbook
• 1 HR

  Build and Deploy a Multi-Agent Chatbot

  Deploy a multi-agent chatbot system and chat with agents on your Spark

  Playbook
• 2 HRS

  Connect Multiple DGX Spark through a Switch

  Set up a cluster of DGX Spark devices that are connected through Switch

  Playbook
• Connect Three DGX Spark in a Ring Topology

  Connect and set up three DGX Spark devices in a ring topology

  Playbook
• 1 HR

  Connect Two Sparks

  Connect two Spark devices and setup them up for inference and fine-tuning

  Playbook
• 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
• 30 MIN

  Install and Use Isaac Sim and Isaac Lab

  Build Isaac Sim and Isaac Lab from source for Spark

  Playbook
• 1 HR

  Multi-modal Inference

  Setup multi-modal inference with TensorRT

  Playbook
• 30 MIN

  NCCL for Multiple Sparks

  Install and test NCCL on two, three, or four Sparks

  Playbook
• 15 MIN

  Single-cell RNA Sequencing

  An end-to-end GPU-powered workflow for scRNA-seq using RAPIDS

  Playbook
• 1 HR

  TRT LLM for Inference

  Install and use TensorRT-LLM on DGX Spark

  Playbook
• 1 HR

  Unsloth on DGX Spark

  Optimized fine-tuning with Unsloth

  Playbook
• 30 MIN

  Vibe Coding in VS Code

  Use DGX Spark as a local or remote Vibe Coding assistant with Ollama and Continue

  Playbook
• Beginner30 MIN

  Monitor Your AI Compute with DGX Dashboard

  Notebook access, GPU status, and update controls in one place

  Playbook
• 5 MIN

  Register DGX Station to Brev

  Link your DGX Station to Brev for remote access and sharing

  Playbook
• Beginner10 MIN

  Connect Multiple DGX Sparks for Distributed Workloads

  Use NVIDIA Sync clustering so larger models and training can span nodes.

  Playbook
• Beginner60 MIN

  Boost Productivity with an AI Agent

  Have an AI Chief of Staff organize your day

  Playbook
• 60 MIN

  Connect Two DGX Stations for Distributed Workloads

  Combined memory and compute over a direct high-speed link

  Playbook