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.
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Real-time visualization hits different when it’s even faster than real time. Over the past year, we’ve been working alongside NVIDIA to rethink how ideas, conversations, and data become instant visuals and live dashboards — powered by the NVIDIA DGX Spark and our semantic media engine. From healthcare to enterprise workflows, we’re building AI-native systems that move at the speed of thought. See what we're building: https://lnkd.in/ecaAeM4n NVIDIA Workstation Moffitt Cancer Center
When the unknowns are everywhere, start with first principles, reason through what you believe and keep showing up. Our CEO Jensen Huang on How I Built This with Guy Raz:
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Some truisms earn their status. "Start with the customer. Work backwards." is one. And when optimizing AI tokenomics, it matters more than ever. Your customer use case is the thread that runs through every tokenomics decision: ➡️ Token Utility — the model, context, and interactivity it demands ➡️ Token Demand — the volume and velocity of token growth it drives ➡️ Token Supply — the infrastructure it needs for lowest token cost ➡️ Token Monetization — the cost-based and value-based pricing it shapes I sat down with Noah Kravitz on the NVIDIA AI podcast to break down each pillar and explore what it takes to get tokenomics right. Give it a listen. Would love to hear if it sparks something useful. 🎧 https://nvda.ws/4dnNmXB
We will be there. 👀 See you in L.A.👉 https://nvda.ws/4tUAaOS
It’s time to connect, collaborate, and explore how technical and creative minds are transforming the future of computer graphics and interactive techniques. ⭐ Registration for SIGGRAPH 2026 is officially open! Join us in Los Angeles, 19–23 July, for five days of discovery, cross industry exchange, and the extraordinary energy that comes from bringing diverse communities together. Prepare to experience the ideas, research, and innovations that are shaping the next era of computer graphics — across entertainment, education, robotics, architecture, astronomy, physical AI, and more. Secure early registration pricing through 8 May. Register now: https://lnkd.in/gcNXa-vQ
Zalando is scaling high-fidelity 3D product production to drive confident customer decisions. By integrating ALLSIDES’ AI‑powered photometric 3D scanning platform, powered by NVIDIA Cosmos™, Gen‑3C, and DiffusionRenderer, they’ve created a "Scan to Storefront in 48 Hours" workflow. This speed is translating to measurable business impact: a 3%–4% uplift in add-to-cart rates and significant return reductions in footwear. This streamlined process is making 3D a scalable reality in retail. Read the success story: https://nvda.ws/42QJMPD
Lambda is partnering with Hudson River Trading to power quantitative research and development using NVIDIA HGX B200 systems — the platform that delivers the highest compute per watt, lowest token cost, and longest useful life. Read the announcement: https://nvda.ws/3Rpl9qM
Hudson River Trading is partnering with Lambda to accelerate quantitative research and development. Lambda will help power HRT’s research roadmap with a full-stack architecture, including NVIDIA HGX B200 systems, advanced networking, storage, orchestration, and uptime. Read more: https://lnkd.in/gKaGf5Yr
Everyone’s watching what comes next. Start with the NVIDIA GTC Live pregame show at COMPUTEX 2026. Then watch Jensen Huang take the stage in Taipei to unveil the latest breakthroughs in AI and accelerated computing. Tune in: https://nvda.ws/4wFiPMs 📍 Monday, June 1 | 9 a.m. Taipei Time 📍 Sunday, May 31 | 6 p.m. Pacific Time #NVIDIAGTC
Our CEO Jensen Huang took the stage earlier this week with Dell Technologies CEO Michael Dell to unveil a major update to the Dell AI Factory with NVIDIA, the full-stack platform powering the next wave of autonomous AI agents in the enterprise. From deskside workstations to massive data center racks running NVIDIA Vera Rubin, enterprise AI has never moved this fast. Read Blog ➡️ https://nvda.ws/43lQ9dQ
Token economics determine whether your AI scales or stalls. Shruti Koparkar from our Accelerated Computing team breaks down each tokenomics pillar on the NVIDIA AI podcast: ➡️ Utility — What is the optimal token value for your use case? ➡️ Demand — What is the volume of tokens the use case needs? ➡️ Supply — How to maximize token output and minimize token cost? ➡️ Monetization — How to turn tokens into revenue and profit? 🎧 Listen to the podcast: https://nvda.ws/4dnNmXB
At Google I/O, NVIDIA and Google Cloud are celebrating a milestone: more than 100,000 developers have joined our joint developer community in just one year, and the platform is expanding. In the past year, members have shipped RAG applications on GKE, built multi-agent pipelines, and prototyped hybrid inference for real-world use cases like sports analytics and enterprise data pipelines. What's new this year: → JAX learning path for running and scaling workloads on NVIDIA GPUs → NVIDIA Dynamo on GKE codelab for large-scale inference optimization → Monthly developer livestreams with practical guidance on topics like Multi-agent app development with Gemma 4, NVIDIA Nemotron, and Google ADK on RTX PRO 6000 Blackwell GPUs NVIDIA is also collaborating with Google DeepMind on responsible AI, using SynthID to watermark outputs from NVIDIA Cosmos world foundation models. Read more: https://nvda.ws/4dtRhAU
