Core Viewpoint - NVIDIA collaborates with Novo Nordisk to enhance drug discovery through advanced AI technologies, utilizing the Gefion supercomputer for innovative research and development applications [1][3][13] Group 1: Collaboration and Technology - The partnership aims to create customized AI models for early research and clinical development, leveraging advanced simulation and physical AI technologies [2] - Gefion, powered by NVIDIA DGX SuperPOD™, serves as an AI factory for Novo Nordisk, enabling the execution of drug discovery and agentic AI workloads [3][5] - NVIDIA's tools, including BioNeMo™, NIM™, and NeMo™, will facilitate generative AI-powered drug discovery and the development of customized workflows [3] Group 2: Research Focus - Novo Nordisk researchers will utilize single-cell models to predict cellular responses to drug candidates and design models for drug-like molecules [4] - The collaboration will also focus on building biomedical large language models from Novo Nordisk's extensive scientific literature to identify correlations between genes, proteins, and diseases [4] Group 3: Impact on Healthcare - Gefion's computational power is expected to address significant R&D challenges, aiming to unlock new possibilities in pharmaceutical research and development [6] - Danish startup Teton is using Gefion to develop an AI care companion for hospitals, which has shown a 25% reduction in nightshift duties for nurses [7] - Gefion will support efforts to unify health data across Danish health organizations, facilitating secure access to interconnected health data for research [9]

Core Insights - NVIDIA is establishing the world's first industrial AI cloud in Germany to support European manufacturers, featuring 10,000 GPUs to enhance manufacturing applications [1][3][15] - Major European manufacturers like BMW Group, Maserati, Mercedes-Benz, and Schaeffler are adopting NVIDIA's technologies to transform their product lifecycles through AI-driven operations [2][10][12] Group 1: Industrial AI Cloud Development - The AI factory will utilize NVIDIA DGX B200 systems and NVIDIA RTX PRO Servers, running NVIDIA CUDA-X libraries and Omniverse-accelerated workloads [3][4] - This initiative aims to accelerate AI development and adoption in anticipation of AI gigafactories across Europe [5] Group 2: Partnerships and Software Integration - Siemens and NVIDIA are expanding their partnership to enhance industrial AI and digitalization, optimizing performance and productivity for various sectors [7] - Ansys is integrating Omniverse into its simulation software to improve fluid simulations, achieving a 2.5x acceleration in performance for Volvo Cars [8][9] Group 3: Manufacturer Innovations - Schaeffler is leveraging AI factories and NVIDIA's technology for digital factory planning and automation across its manufacturing plants [10][11] - BMW Group is creating digital twins of its production facilities to optimize manufacturing processes and develop AI applications [12][13]

Core Insights - Siemens and NVIDIA have expanded their partnership to accelerate industrial AI and digitalization, aiming to enable the factory of the future [1][10] - The collaboration focuses on integrating NVIDIA AI and accelerated computing with Siemens' technologies to enhance manufacturing efficiency and quality [2][3] Partnership Expansion - The partnership initially announced in 2022 aims to bring the industrial metaverse to life by connecting Siemens Xcelerator with NVIDIA Omniverse, optimizing performance and productivity [3] - The collaboration now includes generative AI, industrial AI, and robotics, enhancing the capabilities of both companies [3] Technological Integration - Siemens integrates NVIDIA technology into the Siemens Xcelerator platform, enhancing product lifecycle management with real-time ray-tracing capabilities [4] - HD Hyundai utilizes this technology to visualize next-generation vessels, significantly reducing design iteration time from days to hours [5] Performance Enhancements - The combination of NVIDIA Blackwell GPUs with Siemens' Simcenter Star-CCM+ software has achieved a 30x speedup in transient aerodynamics simulations for BMW Group [6] - New Siemens Industrial PCs certified for NVIDIA GPUs enable complex automation tasks, delivering a 25x acceleration in AI execution [7] AI Implementation - Advanced AI agents will operate across the Siemens Industrial Copilot portfolio, executing processes autonomously and optimizing shopfloor operations [8] - A new class of operational technology cybersecurity is being developed through collaboration, integrating NVIDIA BlueField DPUs for enhanced security [9] Future Outlook - The expanded partnership is set to drive innovation in industrial manufacturing, enabling rapid deployment of AI solutions on the shopfloor [10]

SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications. Building autonomy into systems like X-ray and ultrasound requires medical imaging systems to understand and operate in the physical world. This enables the automation of complex workflows such as patient placement, image scanning and quality checking. To accomplish th ...

Core Insights - NVIDIA, Alphabet, and Google are launching new initiatives to enhance AI, democratize access to AI tools, and transform various industries including healthcare, manufacturing, and energy [1][20] AI and Robotics Development - Engineers and researchers from Alphabet and NVIDIA are collaborating to develop robots with advanced grasping skills and optimize energy grids using AI and simulation technologies [2] - The partnership includes the use of NVIDIA platforms such as Omniverse™, Cosmos™, and Isaac™ to facilitate these developments [2] AI Infrastructure and Tools - Google Cloud will adopt NVIDIA's GB300 NVL72 rack-scale solution and RTX PRO™ 6000 Blackwell Server Edition GPU to enhance AI research and production capabilities [3][15] - NVIDIA will implement Google DeepMind's SynthID technology for watermarking AI-generated content, ensuring intellectual property protection [3][6] Open Models and Innovation - Google DeepMind and NVIDIA are optimizing Gemma, a family of lightweight open models, to run efficiently on NVIDIA GPUs, enhancing accessibility for developers [7] - The collaboration aims to improve the performance of AI models and facilitate their integration into various applications [7] Robotics and Manufacturing - Intrinsic, an Alphabet company, is focused on creating adaptive AI for robotics, aiming to simplify the programming of industrial robots [9] - The partnership with NVIDIA aims to enhance developer workflows and support universal robot grasping capabilities, significantly reducing application development time [10] Drug Discovery and Healthcare - Isomorphic Labs is leveraging AI for drug discovery, utilizing a state-of-the-art drug design engine on Google Cloud with NVIDIA GPUs to advance human health [12] Energy Solutions - Tapestry, a project under Alphabet's X, is working with NVIDIA to develop AI-powered solutions for optimizing electric grid simulations and integrating new energy sources [13][14] Advanced AI Infrastructure - Google Cloud is among the first to offer NVIDIA's latest Blackwell GPUs, which provide significant performance improvements for AI applications [15][16] - The GB300 NVL72 delivers 1.5 times more AI performance compared to its predecessor, enhancing revenue opportunities for AI factories [16] Collaboration and Future Directions - The ongoing partnership between NVIDIA and Alphabet is set to advance agentic AI and physical AI applications across various sectors [20]

Core Insights - NVIDIA announced that leading CAE software vendors, including Ansys, Altair, Cadence, Siemens, and Synopsys, are enhancing their simulation tools by up to 50 times using the NVIDIA Blackwell platform [1][2] - The integration of NVIDIA Blackwell with CUDA-X libraries allows industries such as automotive, aerospace, energy, manufacturing, and life sciences to significantly reduce product development time, cut costs, and improve design accuracy while maintaining energy efficiency [2][3] Ecosystem Support - A growing ecosystem of software providers is integrating Blackwell into their offerings, including companies like Altair, Ansys, Cadence, Siemens, and Synopsys, enabling customers to develop real-time digital twins with enhanced interactivity [4][3] - Rescale has launched a CAE Hub that streamlines access to NVIDIA technologies and CUDA-accelerated software, providing high-performance computing and AI technologies in the cloud powered by NVIDIA GPUs [8] Industry Applications - Cadence is utilizing NVIDIA Grace Blackwell-accelerated systems to tackle challenges in computational fluid dynamics, achieving multibillion cell simulations in under 24 hours, which previously required extensive CPU resources [5][6] - Boom Supersonic plans to use NVIDIA Omniverse Blueprint and Blackwell-accelerated CFD solvers on Rescale CAE Hub to design and optimize its new supersonic passenger jet, enabling 4 times more design explorations [9][10] Performance Enhancements - The collaboration between NVIDIA and various software providers is leading to significant performance improvements, with GPU-based simulations being up to 1.6 times faster compared to previous generations [7] - The combination of NVIDIA Blackwell architecture with Siemens' digital twins is expected to drastically reduce development times and costs, enhancing efficiency in design and manufacturing processes [7]

Core Insights - NVIDIA has announced the release of new Cosmos world foundation models (WFMs) aimed at enhancing physical AI development, providing developers with customizable reasoning models for world generation [1][3][21] - The introduction of two new blueprints powered by NVIDIA Omniverse and Cosmos platforms will facilitate large-scale synthetic data generation for robots and autonomous vehicles, with early adopters including industry leaders like 1X and Uber [2][21] Group 1: Cosmos World Foundation Models - Cosmos WFMs enable the generation of controllable photorealistic video outputs from structured video inputs, streamlining perception AI training [3][4] - The models are designed to enhance robotics and physical industries, allowing for significant advancements in these fields [3][21] - Cosmos Predict WFMs can generate virtual world states from multimodal inputs, enabling multi-frame generation and customized training for physical AI applications [7][8] Group 2: Synthetic Data Generation - The Cosmos Transfer model allows for the transformation of 3D simulations into photorealistic videos, significantly improving the efficiency of synthetic data generation [4][6] - Companies like Agility Robotics and Foretellix are leveraging these models to create diverse datasets for training their robotic and autonomous systems [5][8] - The GR00T Blueprint combines Omniverse and Cosmos Transfer to reduce data collection time from days to hours, enhancing the efficiency of synthetic manipulation motion generation [6] Group 3: Multimodal Reasoning and Data Curation - Cosmos Reason is a customizable model that utilizes chain-of-thought reasoning to interpret video data and predict interaction outcomes, improving data annotation and curation for physical AI [9][10] - Developers can utilize NVIDIA's NeMo framework for accelerated data processing and curation, with applications in training large vision language models [11][12] - Companies like Linker Vision and Milestone Systems are employing these tools for video data curation to enhance their AI capabilities [12] Group 4: Responsible AI and Availability - NVIDIA emphasizes responsible AI practices by implementing open guardrails across all Cosmos WFMs and collaborating with Google DeepMind to watermark AI-generated outputs [13] - The Cosmos WFMs are available for preview in the NVIDIA API catalog and listed in the Vertex AI Model Garden on Google Cloud, with some models accessible on platforms like Hugging Face and GitHub [14]

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid RobotsNVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics EngineNew Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Is ...

SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced the NVIDIA RTX PRO™ Blackwell series — a revolutionary generation of workstation and server GPUs redefining workflows for AI, technical, creative, engineering and design professionals with breakthrough accelerated computing, AI inference, ray tracing and neural rendering technologies. For everything from agentic AI, simulation, extended reality, 3D design and complex visual effects to developing physical AI powering autonomou ...

Core Insights - General Motors (GM) and NVIDIA are extending their collaboration to develop next-generation vehicles, factories, and robots utilizing AI, simulation, and accelerated computing [1][2] - The partnership aims to create custom AI systems for optimizing GM's manufacturing processes and enhancing vehicle safety features [2][3] Group 1: Collaboration Details - GM will leverage NVIDIA's accelerated compute platforms, including NVIDIA Omniverse and NVIDIA DRIVE AGX, to train AI manufacturing models [2][4] - The collaboration will focus on creating digital twins of assembly lines for virtual testing and production simulations, aimed at reducing downtime and increasing efficiency [4][5] - GM's future vehicles will be built on NVIDIA DRIVE AGX, which can perform up to 1,000 trillion operations per second, facilitating the development of safe autonomous vehicles [5] Group 2: Leadership Statements - Mary Barra, GM's CEO, emphasized that AI optimizes manufacturing and enhances vehicle intelligence, merging technology with human ingenuity [3] - Jensen Huang, NVIDIA's CEO, highlighted the transformative impact of their partnership on transportation and manufacturing processes [3] Group 3: Event Information - NVIDIA will host a fireside chat during the GTC global AI conference to discuss the collaboration and its implications for automotive manufacturing and software development [6]