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The Keynote Pregame is Back—Bigger Than Ever
NVIDIA· 2025-09-25 22:39
Let's do a pregame show just like NFL football. Um, uh, sure. Whoa.Are you sure you want to do this. Yeah, absolutely. Let's see what happens. Let's let it rip.You know, and I applaud Jensen for his tenacity and he got lucky. Was that a mistake or did you think they went out of business. No, I wrote them off.Boom. Always, you know, challenges work with media. Jensen is very demanding.I got to be honest. AI became the objective. You with me.Yes. There would be no AI revolution without Nvidia. The open- sourc ...
NVIDIA UK AI Ecosystem Celebration Highlights
NVIDIA· 2025-09-25 12:13
The United Kingdom, birthplace of the Industrial Revolution Human output multiplied Cities lit Nations connected Then computing Babbage imagined the Programable computing machine. Lovelace wrote its first program Turing dreamed of machines that could think Imitating intelligence And Berners-Lee invented the web Weaving humanity's knowledge into a single fabric Now the AI revolution With a new kind of factory powered by NVIDIA The age of AI has begun Here in the UK began the revolution that shaped our modern ...
NVIDIA UK AI Ecosystem Celebration
NVIDIA· 2025-09-25 12:13
The UK is launching its next industrial revolution—AI. NVIDIA founder and CEO, Jensen Huang, was joined by UK Prime Minister, Kier Starmer, UK Secretary of State for Science, Innovation and Technology Liz Kendall, UK Security of State for Business and Trade Peter Kyle, and United States Secretary of Commerce Howard Lutnick to celebrate the future of the AI infrastructure ecosystem in the UK. ...
Why NVIDIA Built Nemotron—Open Models, Datasets, and Techniques for the Future of AI
NVIDIA· 2025-09-23 17:01
AI Model & Technology - NVIDIA's Nemotron aims to provide an open approach to AI development, optimizing models and leveraging accelerated computing [2][3] - Nemotron is not just a model, but a collection of AI technology used to build GPUs and systems [4] - Nemotron offers pre-training datasets and post-training technology, exemplified by ServiceNow's model training and Meta's Llama model enhancement [5][6] - NVIDIA aims to advance both generalized and specialized intelligence, enabling businesses to tailor AI for their unique problems [7][8] Business & Industry Impact - AI is impacting every business, requiring trust and understanding for effective deployment [1][2] - Open technologies, like the internet, have transformed industries such as retail banking and healthcare, and AI needs a similar open foundation [2] - NVIDIA's goal is to support companies worldwide in building and deploying AI using Nemotron technology [9] Technical Aspects - A faster model is considered a smarter model because it can process more information in the same amount of time [3] - Nemotron facilitates full-stack optimization, from model architectures and algorithms to networking and compute [9]
How AI Became 100,000x More Energy Efficient — and Is Transforming Sustainability Research
NVIDIA· 2025-09-23 10:01
We say accelerated computing is sustainable computing because it is inherently fundamentally more energy efficient and Nvidia has really pioneered this acceleration of compute power. We've improved the energy efficiency of the accelerated computing platform by 100,000 times over the past decade. And that type of energy efficiency improvement is really critical to us unlocking the next level of performance that allows us to build bigger and bigger models and do more and more with AI.The potential positive im ...
Sofinnova’s 50-Year Legacy: Accelerating Biotech Innovation with NVIDIA AI
NVIDIA· 2025-09-22 23:03
Company Overview & Strategy - The firm is a life sciences venture fund with over 50 years of history, investing in biotechnologies, medical devices, industrial biotech, and digital medicine [1][2] - The company's mission is to advance medicine and bring expertise to the industrial biotechnology field [2] - The fund strategy sits at the intersection of life sciences and technology, bridging traditional life science approaches with digital medicine [4] Portfolio & Partnerships - The firm has connections with about 100 active portfolio companies [2] - The company emphasizes the benefits of connecting portfolio companies with Nvidia, streamlining processes and improving analysis speed [3] - The NVIDIA VC Alliance program connects the firm with other VCs across the ecosystem and industry, providing exposure to the tech side [3][4] Competitive Advantage & Value Proposition - The company provides portfolio companies with exclusive access to compute resources, offering a competitive advantage [6] - The firm offers the ability to tweak compute requirements as needed, which is valuable for startups building massive data assets [7] - The company enables portfolio companies to scale data processing quickly, accelerating the path to value inflection points [8][9]
The U.K.'s Next Industrial Revolution
NVIDIA· 2025-09-18 19:21
Industrial Revolution & Technological Advancement - The UK was the birthplace of the industrial revolution, driven by scarce and costly labor, leading to invention [1] - Steam, electricity, and computing each represent a revolution rewriting human progress [3] - Watt's engine, Darby and Cort's iron forging, and Arkwright's looms significantly enhanced industrial capabilities [2] - Faraday and Maxwell's work on electricity and magnetism connected nations and multiplied human output [2] AI Revolution - The AI revolution is powered by Nvidia, manufacturing tokens of intelligence [3] - AI automates mental work, reshaping every industry and field of science [4] - Nations are expected to build AI infrastructure similar to railways, power grids, and the internet [4] - The age of AI has begun, promising a world that will never be the same [4] Historical Context & Future Implications - The UK, where the industrial revolution began, is positioned to be at the forefront of the AI revolution [4] - The AI revolution is presented as a new kind of factory, automating the work of the mind [3][4]
A Personal AI Supercomputer for Accelerated Protein AI
NVIDIA· 2025-09-17 20:22
AI Transformation in Disease Research - AI is revolutionizing disease understanding and treatment, particularly in protein study [1] - AlphaFold 2 reduces protein structure determination from months to minutes using deep learning [1] NVIDIA DGX Spark Performance - NVIDIA DGX Spark delivers data center-class performance for protein AI with the Grace Blackwell architecture [2] - DGX Spark offers up to 1 Petaflop of compute and 128GB of coherent memory [2] - It eliminates GPU memory bottlenecks on MSA databases and the need for shared HPC or cloud clusters [2] Accessibility and Capabilities - DGX Spark enables private folding of proteome-scale datasets beyond laptop or desktop capabilities [3] - It's a personal AI supercomputer for digital biology, bringing capabilities to researchers everywhere [3]
Industrial AI for Automotive: Digital Twins, Simulation, and Robotics
NVIDIA· 2025-09-11 18:41
Industrial AI Adoption & Market Opportunity - Industrial AI 正在经历极端的采用 [1] - NVIDIA 认为物理 AI 和工业 AI 是一个 10 万亿美元的行业 [2] - 工业 AI 不仅仅是数字孪生,它贯穿整个汽车生命周期,从前期设计协作到性能数字孪生 [4] - 工业 AI 被注入到数字孪生的创建中 [14] - 工业 AI 的创建从两个角度考虑:使用 Omniverse 创建工厂或仓库的虚拟版本,并使用 Cosmos 创建无限的变体 [15][16] Digital Twin Transformation - 行业正在从规划数字孪生转型到运营数字孪生,并注入 AI [5][8] - 运营数字孪生中,AI 可用于预测性维护,实时零件规划和机器人路径规划 [7] - 通过 AI 协同,用户可以通过提问来监控生产量,生产线问题等 [12][13] Mobility & Virtual Experience - 使用虚拟配置器查看不同的颜色和装饰组合 [9] - 能够实时体验车辆在不同环境条件下的性能,并最终通过 XR 体验坐在车辆中 [10] - 可以在 XR 中体验自动驾驶的未来 [10] AI-Powered Tools & Platforms - Metropolis 平台连接数千个摄像头,以帮助识别数字孪生如何实时运行 [22] - Isaac 和 Groot 平台用于机器人开发,帮助训练和测试 AMR,AGV,ARM 和人形机器人 [22] - Blueprint 旨在解决查找符合特定场景的数据,创建无限变体并基于数据训练模型的难题 [20][21] Real-World Applications & Partnerships - 已经与 BMW,Keon,Kanti,Rockwell Automation 和 Foxconn 合作实现了数字孪生 [5][25][26] - 与 Accenture 合作,将技术应用于 Keon 的仓库,实时感知数字孪生的每个操作 [24] - 设想与 Service Now 建立深度合作伙伴关系,在工厂车间触发实时警报,从而调试机器人或人员来处理事件 [19]
NVIDIA AI-Physics Framework for Accelerating Computational Engineering with Emulation of AI
NVIDIA· 2025-09-11 18:36
Modeling and simulation are core pillars of science and engineering workflows. AI surrogate models can enable nearrealtime simulation workflows. To develop such models, it's critical to integrate domain knowledge.But building these knowledge guided models isn't easy. Training a model only on available data restricts its usability as it has very limited generalizability. Existing frameworks also don't cater to approaches that fuse data with domain knowledge.NVIDIA Physics Nemo is an open-source AI physics pl ...