NVIDIA XR AI brings enterprise AI agents out from the desk to hands-on work. It connects XR devices—such as lightweight AR/AI glasses or head-mounted displays—to your organization’s full computational power, enabling spatially aware, intelligent agents to operate seamlessly across cloud, data center, workstation, and edge deployments. By integrating your XR infrastructure with NVIDIA GPU resources, NVIDIA XR AI unlocks real-time AI that empowers developers to create agents that can find, guide, verify, and capture in real-world complex enterprise environments.With NVIDIA NeMo™ Agent Toolkit,
NVIDIA XR AI…By creating generative AI agents that offer Q&A capabilities within the XR environment, users can interact more naturally and receive immediate assistance. A multimodal AI agent processes and synthesizes multiple input…
…Enabling gigascale agentic AI with better performance and TCO NVIDIA BlueField‑4–powered CMX provides AI‑native organizations with a new way to scale agentic AI: a pod‑level context tier that…
Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits , , , or a shell pipeline is producing an executable action that…
Agentic AI / Generative AI Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo Apr 17, 2026 By Ishan Dhanani and Matej Kosec Discuss (0) Discuss (0) L T F R E Coding…
…Optimizing the Deployment of Interdependent AI Inference Components Developer Workflow of Grove API NVIDIA Grove Github Repository NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Cost for Agentic…
…Learn more The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care transforming healthcare as we know it. Building AI…
Agentic AI / Generative AI How to Build License-Compliant Synthetic Data Pipelines for AI Model Distillation Feb 05, 2026 By Alex Steiner , Kirit Thadaka , Rebecca Kao and Gordana Neskovic Discuss (1) Discuss…
…Vertical AI applications (for example, customer‑care copilots or knowledge assistants tailored to local languages and regulations) Model and tools APIs for text, vision, speech, and agents Inference‑as‑a‑Service endpoints…
…These applications include AI assistants , customer support agents, coding co-pilots, and “deep research” assistants. Recent advances in algorithmic and model efficiency have reduced the cost of training and inference , as demonstrated…
…Digital agents : monitoring and assistance agents powered by surgical foundation models (for example, an agent driven by vision language model (VLM) that observes a live camera stream and suggests actions). Digital twin…
