Search results
Deploy AI agents to investigate cluster issues and streamline governed AI factory operations.Developer ExampleAI Factory Operations Agent
Distill and deploy domain-specific AI models from unstructured financial data to generate market signals efficiently—scaling your workflow with the NVIDIA Data Flywheel Blueprint for high-performance, cost-efficient experimentation.Financial ServicesLaunchableDeveloper ExampleAI Model Distillation for Financial Data
Inspect DGX Station software and route version-aware, CLI-backed workflows Design, simulate, and optimize AI factory infrastructure with digital twins.Physical AI & RoboticsEnterpriseNVIDIA Omniverse DSX Blueprint for AI Factory Digital Twins
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and A Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re- Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, work Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup. Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.TelecomLaunchableDeveloper ExampleAI Agent for Telecom Network Configuration Planning
Have an AI Chief of Staff organize your dayBeginner60 MINBoost Productivity with an AI Agent
Homogeneous dual-GPU setups for llama.cpp tensor parallel and ComfyUI multi-GPU diffusionIntermediate13 MINBuild a Multi-GPU AI PC
Learn how to use generative AI and an AI assistant to create content on RTX SparkBeginner60 MINCreate with an AI Agent
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. Notebook access, GPU status, and update controls in one placeBeginner30 MINMonitor Your AI Compute with DGX Dashboard
Deploy an AI-powered coding assistant on DGX Spark that delivers expert CUDA-aware chat, real-time code completion, and retrieval-augmented generation grounded in authoritative GPU programming knowledge—powered by NVIDIA NIM microservices.GeneralDeveloper ExampleNsight Copilot - AI Code Assistant for CUDA Development
A shared GPU workspace your team can access from anywhereBeginner5 MINRegister AI Compute with Brev
Isolate OpenClaw with kernel-level policies and route inference to a local model Learn the basics of installing & running agentsBeginner30 MINSet Up Your First AI Agent on Your RTX Spark
Configure your dev environment and a coding agentBeginner30 MINSetup your AI Development Workspace
Reach your machine remotely via NVIDIA Sync FLUX.2 image and LTX-2 video workflows you run locally with full creative controlIntermediate13 MINGenerate Images and Video with ComfyUI
Items per page
of 1 pages