AI is helping scientists see nature in entirely new ways. 🔍 In collaboration with The Ohio State University, BioCLIP2 runs on NVIDIA accelerated computing to identify over a million species and reveal hidden patterns that support conservation and ecosystem health worldwide. 👉 https://nvda.ws/47z2jTq
About us
Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.
- Website
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http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
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Want to build a long‑running AI agent on Nemotron open models using OpenClaw? Recently announced at NVIDIA GTC San Jose, NemoClaw (in alpha) is an open source reference stack that launches autonomous agents built with OpenClaw inside OpenShell’s sandboxed environment—so with one command you can operate always‑on, self‑evolving assistants more safely. OpenShell (also in alpha) is the runtime and policy layer that adds enterprise‑grade privacy and security guardrails. In this Nemotron Labs livestream, you can: - Watch a step‑by‑step install of NemoClaw on DGX Spark and see what it takes to get a claw running end‑to‑end. - Learn how NemoClaw uses open models like NVIDIA Nemotron together with the NVIDIA OpenShell runtime to provide a safer environment for executing claws. - Get a clear explanation of how NemoClaw, OpenShell, and OpenClaw fit together so you know where each piece runs and how to start experimenting confidently. Join the stream, bring your installation and deployment questions, and come ready with a DGX Spark if you have one so you can follow along and run through the installation live alongside us.
Build a Claw: NVIDIA NemoClaw on DGX Spark | Nemotron Labs
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NVIDIA AI reposted this
What is computer-aided engineering? 🤔 Computer-aided engineering (CAE) is the use of software to simulate and analyze how products will perform in real-world conditions Read how this helps engineers test, optimize, and validate designs before building them. 👉 https://nvda.ws/4tnl0lA
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NVIDIA AI reposted this
Jensen Huang is coming to Interrupt. May 13-14 in SF. Join Jensen and Harrison for a fireside chat to learn where enterprise agents are headed. We'll dive into the LangChain x NVIDIA partnership and how Deep Agents, NVIDIA Nemotron models, and the NVIDIA Agent Toolkit enable production-grade claws for the enterprise. Get tickets: https://lnkd.in/gzXMaRig
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Turn hours of footage into a searchable map of actions and events. With the latest release of NVIDIA Metropolis Blueprint for Video Search and Summarization (VSS), you can use agentic search over video embeddings to jump straight to specific events and modularize your pipeline so components can be swapped, extended, and scaled as your requirements evolve. Download VSS 3 early access to start building on these capabilities. 📥 https://lnkd.in/gsH6WHAH
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Build practical time series forecasting skills with our new self-paced course: Accelerated Machine Learning for Time Series Forecasting Get a guided intro to building, evaluating, and accelerating time series forecasting models using statistical methods, machine learning, deep learning, and GPU-accelerated tools. Explore concepts like trend and seasonality, then build and compare models on real data. Enroll: https://lnkd.in/gEWHKW6p
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Build vision AI pipelines in minutes with NVIDIA DeepStream 9 coding agents. Generate complete DeepStream pipelines using Claude Code with simple natural language prompts, reducing development time from weeks to hours. 📥 Download: https://lnkd.in/eNMeRGk8
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🦞 Build-a-Claw is just getting started. Dive deeper with two livestreams next week: 📆 3/31, 11 AM PDT — Nemotron Labs: Build & scale your own claw with Nemotron 📹 YouTube: https://lnkd.in/ecRcZTZd 📍 AddEvent: https://lnkd.in/eEmkZ885 📆 4/1, 11AM PDT — Build a Physical AI pipeline on DGX Spark with NemoClaw, Omniverse NuRec, and Isaac Sim 📹 YouTube: https://lnkd.in/eUDTRgzc 📍 AddEvent: https://lnkd.in/eesZAzyZ From code to real-world autonomy. . . Let's go! 🙌
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Thinking about your next NVIDIA Certification in 2026? Join our certification experts for a global webinar on April 30 to get an overview of refreshed and upcoming certifications in data science, physical AI, OpenUSD, and AI infrastructure. You’ll also get prep resources and practical guidance to help you succeed, including sample questions, study tips, and a live Q&A with the experts. 👉 Save your seat and start planning your 2026 certification goals. 🔗 https://nvda.ws/4lOKLZo
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Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations.