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📬 This week in the NVIDIA Newsroom Newsletter: • Europe’s sovereign AI stack grows with Stargate Norway — powered by 100% renewable energy and built for 100,000 NVIDIA GPUs • Mayo Clinic’s new DGX SuperPOD advances AI for medicine • GB300 NVL72 rewires data center power to meet AI’s growing energy demands Catch up on this week’s updates, industry moves, and what’s ahead from NVIDIA:
In collaboration with NVIDIA and Mark III Systems, Mayo Clinic deploys #NVIDIADGX SuperPOD with DGX B200 systems to push the boundaries of medical innovation with generative AI. #NVIDIABlackwell This enables Mayo Clinic to: ✅ Analyze pathology slides 4 weeks faster ✅ Accelerate development of foundation models ✅ Make new breakthroughs in drug discovery ✅ Gain new insights to improve patient outcomes Learn how we are transforming healthcare, together. ➡️ https://nvda.ws/3UMM2TP
👏 We're amazed to see the enthusiasm and talent from students at University of Minnesota as they get started with NVIDIA #CUDA-Q. Access the same educational materials at our CUDA-Q Academic repository. ➡️ https://lnkd.in/gQKQ98Vp Learn more about NVIDIA CUDA-Q Academic ➡️ https://lnkd.in/gUHvYESW #QuantumComputing
Quantum + Chips is back at the University of Minnesota! This two-week summer school brings together top undergraduate students from across the globe interested in cutting-edge computing technologies--from quantum technologies to semiconductors and AI. Led by Prof. Tony Low, the program features immersive learning that blend lectures, hackathons, lab/company tours and industry talks to prepare students for the challenges ahead in tech innovation. Learn more at https://lnkd.in/g8RZtJcV Department of Electrical and Computer Engineering, University of Minnesota // University of Minnesota, Research & Innovation Office (RIO) // Minnesota Nano Center // CharFac (Characterization Facility)
Want to supercharge your data processing for AI without the infrastructure management? 💡 Learn how to build a serverless distributed NVIDIA GPU-accelerated Apache Spark application on Microsoft Azure that’s efficient, scalable, and meets the demands of your #AI workloads. 🔎 See how in our step-by-step guide. ➡️ https://nvda.ws/4lZLRAI
Incredible moment for Norway 🎉 Stargate Norway marks a new chapter for #sovereignAI infrastructure in Europe. ✅ Plans to support 100,000 #NVIDIA GPUs ✅ Powered entirely by renewable energy ✅ Provide secure, scalable, and energy-efficient infrastructure for sovereign AI workloads across Europe
Today, #StargateNorway officially launches, a significant AI factory powered by latest NVIDIA GB300 technology, running on renewable energy. This project, a partnership between Nscale, #Aker, and OpenAI, will target to deliver 100,000 NVIDIA GPUs by the end of 2026, with the intention to expand significantly in the years ahead. This development marks a substantial next step in scale for the European AI sector. This momentum follows the UK’s Isambard-AI supercomputer and Germany’s recent AI factory launch, confirming a massive upward shift: Europe is rapidly building a robust, distributed foundation for truly sovereign AI. For business and industry leaders, this is more than a technological investment, it’s about unlocking faster innovation, deepening data control, and fueling sustainable growth from the cloud to the factory floor. At NVIDIA, we believe the future belongs to those who scale responsibly and locally, empowering organizations to develop, deploy, and govern AI securely, efficiently, and in full alignment with European values. Stargate Norway brings this vision closer to reality. It delivers world-class compute to enterprises, startups, and public sector innovators, supporting everything from next-generation automation to new business models powered by generative AI. Congratulations to the teams pioneering this new era. We’re proud to support the infrastructure that will drive breakthroughs for customers across industries, across borders, and with an eye toward a more sovereign, competitive, and sustainable digital Europe. #EnterpriseAI #SovereignAI #DigitalEurope #AIInfrastructure #NVIDIA
NVIDIA Data Center reposted this
Nscale, Aker ASA, and OpenAI are launching Stargate Norway, an NVIDIA GPU AI gigafactory in Narvik, Northern Norway. Powered by 100% renewable energy, the facility will provide secure and scalable infrastructure for sovereign AI workloads, with plans to support up to 100,000 NVIDIA GPUs by the end of 2026. Read the press release ➡️ https://nvda.ws/3U2gych
Join Carahsoft, Vertiv, and NVIDIA on August 4th for an exclusive AI briefing tailored for the federal sector and learn how to future-proof your #AI infrastructure. Register through the link below. ⬇️
Discover how to future-proof your AI infrastructure at our August 4 briefing with Vertiv and NVIDIA From power distribution to advanced cooling, this event offers expert insights to keep your data center ahead of the curve. Register now: https://lnkd.in/ezJqTwF2 Megan Robbins, Christina Botto Morrison, Joana Maguregui, Erica Raymond, Maryam Emdadi, Michael Adams
NVIDIA CUTLASS 3.x is important for GPU programming and #AI workloads because it offers a foundational, modular approach to designing GEMM kernels. With the 3.x redesign, CUTLASS aimed to maximize coverage of the space of GEMM implementations while also improving code readability and extending support to later NVIDIA architectures such as #NVIDIAHopper and #NVIDIABlackwell. Read our tech blog to learn more. ➡️ https://nvda.ws/40HSJdq
NVIDIA Data Center reposted this
⏳ Reserve your NVIDIA DGX Spark now ➡️ https://nvda.ws/3GYRYWM 🙌 With your own personal AI supercomputer, you'll be able to prototype, fine-tune, and deploy with ease. ✅ 1 petaFLOP ✅ 128GB of coherent, unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Get ready to #SparkSomethingBig 💫
Together with Cadence, hear how we are solving key design challenges with diverse applications across industries. #NVIDIABlackwell Learn more now ⤵️
Neil Ashton, distinguished engineer at NVIDIA, is at CadenceLIVE to talk about accelerating silicon, system, and drug design with the Cadence Millennium M2000 AI Supercomputer, powered by NVIDIA Blackwell. "Through a deep collaboration with Cadence, we’re taking scientific and engineering simulations to the next level. With cutting-edge hardware and software synergy, users can now achieve unparalleled performance and scalability." Curious to learn more about this powerful partnership? Read more: https://ow.ly/Hgc450Wf4q8