AI factories don’t have to be a strain on the grid. Instead, they can be an energy supplier⚡ Emerald AI's Conductor platform, developed using the NVIDIA Vera Rubin DSX AI Factory reference design, is leading the way for power-flexible AI factories — built to come onto the grid faster without impacting existing power needs. 📖 Read the success story here: https://nvda.ws/4y1bDev
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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Every AI response you've ever gotten started with an electron. ⚡ In a recent interview with Sequoia Capital, Jensen Huang described AI infrastructure as a five-layer cake, and at the very bottom, before chips, before data centers, before models, is energy. That's the binding constraint on the Intelligence Age: not compute, not software — watts. This is why NVIDIA calls AI factories the dynamos of our era. They take in electrons and send out tokens of intelligence. We're a few hundred billion dollars into what Jensen calls the largest infrastructure buildout in human history. Trillions more to go. The question isn't whether AI will scale. It's whether the energy grid can keep up. ⬆️ → Watch the full interview: https://nvda.ws/4ybsb3l
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“ChatGPT has really been a force multiplier” Will Daney, Go-To-Market Strategist at NVIDIA, uses ChatGPT Work to: 🤖 Automate repeatable workflows ⏱️ Eliminate manual analysis 📈 Turn customer data into actionable insights “You build the building block yourself, and then it can scale to your global team pretty easily.” Check out how ChatGPT Work can work for you: https://lnkd.in/g_WGQYfe
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This month’s NVIDIA Training newsletter is all about building smarter AI agents and moving real workloads forward, from edge devices to data centers. Inside, you’ll find hands-on labs at SIGGRAPH with a free OpenUSD certification attempt, and early access training at GTC Berlin. We’re also spotlighting Jetson™ AI Lab livestream builds, a fresh “How to Build an AI Agent” learning path, new tutorials for Hermes and Nemotron™ 3 Ultra, and upcoming workshops for developers and AI infrastructure teams. July’s lineup is designed to help your team turn agent ideas and AI operations plans into real, reliable workflows. #NVIDIATraining #NVIDIACertification #AgenticAI
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The classroom is being reimagined — and NVIDIA is bringing together the people building what's next. At SIGGRAPH 2026, join an expert panel for How AI Is Changing Education — a candid look at how AI is reshaping the way students learn, educators teach, and institutions deliver knowledge at scale. Learn more: https://nvda.ws/3QLWXiB
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NVIDIA teams run ChatGPT Work to automate workflows, surface insights faster, and cut operation costs. Our full-stack collaboration continues to scale. GPT-5.6 builds on GPT-5.5, trained and run on NVIDIA GB200 and GB300 NVL72 rack-scale systems. Congratulations to the @OpenAI team on the launch. 🎉
Introducing ChatGPT Work, a new agent in ChatGPT that can take action across your apps and workflows to turn a goal into finished work. Powered by Codex and GPT-5.6, ChatGPT Work is a whole new way to use ChatGPT, moving beyond just answering questions to getting real work done across web, mobile, and desktop. You can ask ChatGPT Work to take on entire workflows with a single request. It will understand your goals, use context from selected apps and files, create polished documents, decks, analyses, sites, and reports, and keep work moving while you stay in control. GPT-5.6 makes ChatGPT state of the art at reasoning through complex tasks and creating materials that match your templates, reference files, and preferred style. ChatGPT Work starts rolling out today on web and mobile, beginning with Pro, Enterprise, and Edu users and expanding to Plus and Business over the next few days. Chat, Work, and Codex are available to all desktop users, including Free, starting today in the updated ChatGPT desktop app for Mac and Windows. Codex app users can update their app as usual—it will become the new ChatGPT desktop app. https://lnkd.in/ehpEC3V8
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Every company has specialized intelligence that sets it apart. With LangChain, we’re helping enterprises turn that knowledge into specialized agents they can customize, secure and improve over time. Learn more: https://nvda.ws/4perv9u
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Enterprises don’t just need agents that perform. They need agents they can shape, govern and improve as their business evolves. That’s the idea behind our work with LangChain. Read more: https://nvda.ws/4perv9u
Today, we’re announcing the NVIDIA NemoClaw Deep Agents Blueprint, developed with NVIDIA to help enterprises build, evaluate, and deploy open agent systems with benchmark-leading performance and over 10x lower inference costs. https://lnkd.in/grpxf3QB This blueprint combines NVIDIA Nemotron 3 Ultra, Deep Agents, and OpenShell so teams can customize agents for their workloads, deploy them securely, and run them at lower cost. For enterprises, open means ownership: you own the model, the harness, and the runtime. • Nemotron 3 Ultra: The open-weight model layer for teams that want to customize model behavior for their domains while improving agent performance and lowering cost. • Deep Agents: The harness layer for long-running agents, including planning, tool use, memory, and task execution. The Blueprint includes a Deep Agents harness profile tuned for Nemotron 3 Ultra. • NVIDIA OpenShell Runtime: The runtime layer for secure, governed deployment, helping teams control how agents interact with tools, systems, and data. We’re excited to team up with partners across the AI infrastructure + enterprise ecosystem including EY, Baseten, Fireworks AI, Nebius, Crusoe, DeepInfra, and Together AI to help enterprises customize agents for their workloads, deploy them securely, and run them at lower cost. Read the full announcement at the link above, and watch Harrison Chase’s full fireside chat with Jensen Huang at https://lnkd.in/gGyU-b6t
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Join NVIDIA for AI in Production Day at SIGGRAPH 2026. 🎥 On Thursday, July 23, explore how generative and agentic AI are moving into real-world creative pipelines through a full day of sessions focused on film, animation, storytelling, and production workflows. Hear from industry experts on how AI is helping teams direct generative video, support artist-centered pipelines, modernize animation and VFX workflows, and reshape the infrastructure behind production. 📍 Los Angeles | Room 502A 🗓️ Thursday, July 23 | 9 a.m.–3 p.m. PT Learn more: https://nvda.ws/4eQL4RE
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Instacart is bringing real-time intelligence to the grocery aisle. 🛒 With NVIDIA Jetson powering Caper Carts and NVIDIA Dynamo supporting faster recommendations, Instacart is using physical AI to personalize shopping experiences, improve in-store visibility and help retailers drive measurable business impact. The results: 65% lower whole-page ranking latency, more than 5% lift in click-through rates and Caper Cart deployments across 100+ cities. Read the success story: https://nvda.ws/43ZhxPi
