Train Robots, Build Agents, Get Certified This edition of the NVIDIA Training newsletter is your guide to turning AI ambition into real, applied skills. In May, get ready for free certifications at GTC Taipei, dive into the updated AI Operations Professional exam—now designed to validate real-life, job-ready skills through hands-on scenarios. Explore new learning paths in AI networking and agentic AI, and explore fresh sim-to-real robotics with an NVIDIA Isaac™ course and tutorials on Gemma 4 deployment. #NVIDIA #NVIDIATraining #NVIDIAGTC #NVIDIACertification
About us
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
- Website
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http://www.nvidia.com
External link for NVIDIA
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
- Type
- Public Company
- Founded
- 1993
- Specialties
- GPU-accelerated computing, artificial intelligence, deep learning, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, parallel computing, professional graphics, and automotive technology
Locations
Employees at NVIDIA
Updates
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NVIDIA reposted this
OpenClaw is the fastest-growing open source project in history, and adopting it requires balancing agent autonomy with safety. We built NVIDIA NemoClaw as a reference design to enable more secure deployment of always-on agents 📰 This is our last edition here — we're moving to NVIDIA. Subscribe to AI Insights for Business → https://lnkd.in/gX6UUz7x
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NVIDIA reposted this
“Every enterprise needs a claw strategy.” How did LangChain go from a weekend project to 1B+ downloads in 3 years? We sat down with CEO and co-founder Harrison Chase to talk deep agents, evolving agent architectures, and what’s coming next. 🎧 Full episode: https://nvda.ws/4ux3gVj
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NVIDIA reposted this
OpenClaw is the fastest-growing open source project in history, and adopting it requires balancing agent autonomy with safety. We built NVIDIA NemoClaw as a reference design to enable more secure deployment of always-on agents 📰 This is our last edition here — we're moving to NVIDIA. Subscribe to AI Insights for Business → https://lnkd.in/gX6UUz7x
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We’re collaborating with ServiceNow to deliver autonomous AI agents that can act across enterprise workflows with governance, auditability and secure execution built in. At ServiceNow Knowledge 2026, ServiceNow introduced Project Arc, a long-running desktop agent built on open models, specialized agent skills, and NVIDIA OpenShell while running on efficient AI factories to help bring agentic AI into the enterprise. Read more: https://nvda.ws/42Rh5Sv
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The early signs are always there. These startups are making sure we catch them. #NVIDIAInception startups are turning sensors, satellites, and advanced models into early warning systems across some of the hardest problems to solve: 🛰️ Wildfire detection and damage assessment from space and on the ground ⛈️ Hyperlocal weather forecasts that traditional radar can't match 🚧 Real-time hazard detection for workers and vehicles in complex environments The common thread: AI that spots risk before it becomes harm. Meet startups Pano AI, OroraTech, Climavision, and Seoul Robotics in the full breakdown ➡️ https://nvda.ws/4d9aqrL
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NVIDIA reposted this
Powering the Next American Century" will be defined by our ability to power the most demanding technology in history. At the AI+ Expo, we are bringing together the leaders at the heart of this challenge. We are honored to host a Fireside Chat featuring U.S. Secretary of Energy Chris Wright, (U.S. Department of Energy (DOE)), NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck, and #SCSPTech President Ylli Bajraktari. As AI models grow, so does the need for a resilient, modern energy grid. This session explores the critical nexus of energy policy and accelerated computing. How do we scale infrastructure to maintain a competitive edge while ensuring energy security? Join us for a definitive look at the roadmap for American leadership in the age of AI. Register now: https://expo.scsp.ai/ #AIExpoDC
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Two frontier labs. One accelerated computing platform. Congrats to SpaceX and Anthropic on the new compute partnership, powered by 220,000+ NVIDIA GPUs inside Colossus 1. The future of AI runs on NVIDIA.
We’ve agreed to a partnership with SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API. Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models. Our agreement with SpaceX means we will use all the compute capacity at their Colossus 1 data center. This will give us over 300 megawatts of additional capacity to deploy within the month. Read more: https://lnkd.in/eSWRY3dH
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Adobe is building Adobe CX Enterprise Coworker on NemoClaw. Anil Chakravarthy, President of CX Orchestration Business at Adobe, explains how brands can deploy Adobe’s customer experience intelligence within NVIDIA's OpenShell runtime — keeping enterprise agents governed, observable and auditable at scale. Learn more: https://nvda.ws/3OQpBhw
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Multiply Labs is automating cell therapy manufacturing with robots, reducing costs by more than 70%. Read the blog to learn more > https://nvda.ws/4wcJrEq