Photonics Finland’s Post

8 April 2024. Asia Open RAN Academy’s Interoperability Lab US Study Tour made its 4th stop at NVIDIA, Santa Clara, California.  This visit gave us an exhilarating glimpse into how NVIDIA integrates Open RAN technology into its expansive array of innovations, particularly in AI and computing. NVIDIA, a titan in the tech industry, is renowned for pushing the boundaries of what’s possible.  Their exploration into Open RAN sets new standards for efficiency, scalability, and flexibility in network infrastructure. They prove that 5 G's potential extends far beyond traditional telecommunications, touching every aspect of technology that drives our world forward. We extend our heartfelt thanks to the innovative minds at NVIDIA for offering us a window into their work.  This visit has significantly enriched our US Study Tour, illuminating the endless possibilities that Open RAN technologies hold for redefining the landscapes of technology and human progress. #AORA #USStudyTour #NVIDIA #OpenRAN #5GTechnology #AIInnovation #TechnologyForABetterWorld

In this Siemens EDA Diamond presentation by NVIDIA, Vishal Agarwal, Senior Director, H/W Engineering, explains how, as modern AI systems are very large and complex designs, NVIDIA built a new test architecture to meet its testability challenges using Tessent Streaming Scan Network (SSN) technology. He also provides an insight into NVIDIA's vision for solving upcoming challenges for this once-in-a-decade technology shift. To learn more, watch Vishal's full presentation which was delivered at last year's International Test Conference in San Diego. https://sie.ag/6wZ1Qe #TessentSSN #TessentStreamingScanNetwork #TessentInSystemTest #IC #IntegratedCircuitDesign #DFTIndustryleader #ITC2024 #ITCTestWeek #DFT #SiemensEDA

Denmark’s first AI supercomputer, Gefion, is officially live! Powered by NVIDIA DGX SuperPOD architecture consisting of 1528 NVIDIA H100 Tensor Core GPUs, Gefion was inaugurated today in #Copenhagen by HM King Frederik X, Jensen Huang, and Nadia Carlsten, CEO of the Danish Centre for AI Innovation (DCAI), who symbolically switched on the system. This cutting-edge supercomputer is set to accelerate innovation across industries, from quantum computing to drug discovery, while addressing key societal challenges such as the green energy transition. Big kudos to the incredible teams at #DCAI, Eviden, and #NVIDIA for making this project a reality. Read more here: https://lnkd.in/gPm95WyG #AI #Supercomputer #Innovation #TechLeadership #DrugDiscovery #GreenEnergy #Sustainability #DigitalTransformation #NVIDIA #DGXSuperPOD #DCAI #Eviden #AIforGood #TechForChange #FutureTech

In this Siemens EDA Diamond presentation by NVIDIA, Vishal Agarwal, Senior Director, H/W Engineering, explains how, as modern AI systems are very large and complex designs, NVIDIA built a new test architecture to meet its testability challenges using Tessent Streaming Scan Network (SSN) technology. He also provides an insight into NVIDIA's vision for solving upcoming challenges for this once-in-a-decade technology shift. To learn more, watch Vishal's full presentation which was delivered at the International Test Conference in San Diego. https://sie.ag/5SQu82 #TessentSSN #TessentStreamingScanNetwork #TessentInSystemTest #IC #IntegratedCircuitDesign #DFTIndustryleader #ITC2024 #ITCTestWeek #DFT #SiemensEDA

🚨 News Alert: We're thrilled to announce a series of major milestones at #Anjuna, showcasing our continued leadership in #ConfidentialComputing and #SecureCollaboration for the #AI era. -> Partnering with NVIDIA: By integrating #AnjunaSeaglass with NVIDIA Blackwell and Hopper architecture Confidential GPUs, we are ready to accelerate Secure AI environments for enterprises. #NVIDIAInception -> Empowering the US Navy: In collaboration with NVIDIA, we've enabled the U.S. Navy’s successful testing of Llama3 #LLM models on confidential NVIDIA H100 Tensor Core GPUs. -> Launch of Anjuna Seaglass AI Clean Rooms: Our new product for secure data-sharing will revolutionize enterprise multi-party collaboration in #AI and #ML workloads. -> $25M Funding Round: Led by M Ventures , SineWave Ventures, and Alpha Intelligence Capital, with participation from existing investors Playground Global, Insight Partners, Founder Collective, and Uncorrelated, it will further propel our growth and innovation in Confidential AI. We are proud of these achievements and grateful for the support of our investors and partners. Learn more from our CEO, Ayal Yogev in his blog: https://lnkd.in/e9ba4U2J

NVIDIA 𝗦𝗲𝗹𝗲𝗻𝗲: 𝙇𝙚𝙖𝙙𝙚𝙧𝙨𝙝𝙞𝙥-𝘾𝙡𝙖𝙨𝙨 𝙎𝙪𝙥𝙚𝙧𝙘𝙤𝙢𝙥𝙪𝙩𝙞𝙣𝙜 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚. (Turnkey Solution). 𝗦𝗲𝗹𝗲𝗻𝗲 is a supercomputer developed by NVIDIA, capable of achieving 63.460 petaflops, ranking as the fifth fastest supercomputer in the world, when it entered the list. Selene is based on the Nvidia DGX system consisting of AMD CPUs, Nvidia A100 GPUs, and Mellanox HDDR networking. Selene is based on the Nvidia DGX Superpod, which is a high performance turnkey supercomputer solution provided by Nvidia using DGX hardware. DGX Superpod is a tightly integrated system that combines high performance DGX compute nodes with fast storage and high bandwidth networking. It aims to provide a turnkey solution to high-demand machine learning workloads. Selene was built in three months and is the fastest industrial system in the US while being the second-most energy-efficient supercomputing system ever.

The Las Vegas Sphere stands as a testament to human ingenuity and technological prowess, powered by 150 Nvidia GPUs. However, this impressive feat brings with it significant energy demands, raising critical questions about sustainability and responsible innovation. At ORBIT, we emphasise the importance of Responsible Research and Innovation (RRI) in such groundbreaking projects. As we continue to push the boundaries of what technology can achieve, it is crucial to balance innovation with ethical considerations and environmental impact. Explore how ORBIT supports RRI in cutting-edge technology: https://buff.ly/3WkLZ3x. To read the original article about the Sphere, click here: https://buff.ly/3WiMISt

🚀 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁! 🚀 🤝 We at Flexcompute are thrilled to have collaborated with NVIDIA to push the boundaries of scientific computing! Together, we have explored the incredible potential of 𝗚𝗣𝗨-𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗽𝗵𝗼𝘁𝗼𝗻𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, leveraging the latest hardware advancements to solve Maxwell’s equations at unprecedented speed and scale. 🔬 Our collaboration showcases how NVIDIA's cutting-edge GPUs are powering AI and revolutionizing how we approach complex physical simulations. The possibilities are endless, from reducing simulation times by orders of magnitude to enabling the design and optimization of next-generation photonic devices! 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 𝗦𝗽𝗲𝗲𝗱: simulations that once took hours can now be completed in minutes 𝗦𝗰𝗮𝗹𝗲: we can simulate larger and more complex devices, accelerating innovation in photonics 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: advanced simulations allow for more precise designs, pushing the limits of what’s possible See the publication here: https://lnkd.in/gNmyawbh 💡 This collaboration is just the beginning. As we continue to explore and develop these technologies, we are excited about the future of scientific computing and the breakthroughs that lie ahead. Thanks to the amazing teams at Flexcompute and NVIDIA for making this possible. Here’s to driving innovation forward! #GPUComputing #Photonics #ScientificComputing #Innovation #Flexcompute #NVIDIA

Jensen Huang's 2-hour GTC keynote has 27+ Million views. He outlines NVIDIA's advances in GenAI content generation, and increases in inference-generative compute capabilities. He introduces the Blackwell platform GPU to expand on Grace Hopper AI chips. The cost & energy to scale up, and train GPT models, is being managed so that less time, power and GPUs will be needed to ramp model training and accelerate computing at trillion parameter token scale. Industries and companies can go forth and design, build, and simulate product development in Omniverse virtual world. All of this marks incredible progress that began @ NVIDIA's 1990s inception, GPU milestones in 2012, and 2017 delivery of #GenAI system to OpenAI to usher in new transformer architecture & software industry.