Search results
552B MoE, 8B active params with native multimodal support and lower API cost using smaller KV cacheDownloadableFree Endpointdeepseek-v4.1-flash
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
Reach your machine remotely via NVIDIA SyncPlaybooksIntermediate5 MINConnect Remotely to Your AI Compute
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 placePlaybooksIntermediate30 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 anywherePlaybooksIntermediate5 MINRegister AI Compute with Brev
Isolate OpenClaw with kernel-level policies and route inference to a local model Run cuTile kernel benchmarks, FMHA implementation, and LLM inference on DGX Spark and B300Playbooks60 MINcuTile Kernels
Items per page
of 1 pages