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]

Accenture, Ansys, Cadence, Databricks, Dematic, Hexagon, Omron, SAP, Schneider Electric With ETAP, Siemens Connect Omniverse to Leading Software ToolsFour New Blueprints Enable Robot-Ready Factories and Large-Scale Synthetic Data GenerationFoxconn, General Motors, Hyundai Motor Group, KION Group, Mercedes-Benz, Pegatron and Schaeffler Adopt Omniverse for Industrial AI Transformation SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today unveiled that leading industrial software and service ...

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]

Record quarterly revenue of $39.3 billion, up 12% from Q3 and up 78% from a year agoRecord quarterly Data Center revenue of $35.6 billion, up 16% from Q3 and up 93% from a year agoRecord full-year revenue of $130.5 billion, up 114% SANTA CLARA, Calif., Feb. 26, 2025 (GLOBE NEWSWIRE) -- NVIDIA (NASDAQ:NVDA) today reported revenue for the fourth quarter ended January 26, 2025, of $39.3 billion, up 12% from the previous quarter and up 78% from a year ago. For the quarter, GAAP earnings per diluted share was $0 ...