G42, JBA Risk Management, Spire Among First to Adopt NVIDIA Omniverse Blueprint for Earth-2 Weather Analytics NVIDIA Earth-2 NVIDIA Omniverse Blueprints for Earth-2 weather analytics make it easier for climate tech and weather companies to develop high-resolution, accurate weather-forecasting solutions. SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced the NVIDIA Omniverse Blueprint for Earth-2 weather analytics to accelerate the development of more accurate weather forec ...

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]

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 ...

NVIDIA Blackwell Ultra-Powered DGX Systems Supercharge AI Reasoning for Real-Time AI Agent ResponsesEquinix First to Offer NVIDIA Instant AI Factory Service, With Preconfigured Space in Blackwell-Ready Facilities for DGX GB300 and DGX B300 Systems to Meet Global Demand for AI Infrastructure SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC—NVIDIA today announced the world’s most advanced enterprise AI infrastructure — NVIDIA DGX SuperPOD™ built with NVIDIA Blackwell Ultra GPUs — which provides enterp ...

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 ...

Core Insights - Hyperfine, Inc. (HYPR) has announced a strategic collaboration with NVIDIA to integrate advanced AI technologies into its Swoop Portable MRI system, aiming to enhance neuroimaging solutions and improve accessibility for brain scans [1][2] Company Developments - The partnership with NVIDIA emphasizes Hyperfine's commitment to revolutionizing neuroimaging by combining portable MRI technology with advanced computational platforms, positioning the company to improve patient outcomes and expand its leadership in point-of-care imaging [2] - Following the announcement, HYPR shares surged 39.3%, closing at $1.28, with a 33.3% gain over the past six months, outperforming the industry which declined by 9.2% [3] - The collaboration is expected to enhance the speed, intelligence, and accessibility of Hyperfine's MRI systems, potentially attracting more healthcare providers and improving revenue growth and market share [4] Financial Performance - Hyperfine currently has a market capitalization of $93.4 million and reported a 12.5% earnings surprise in the last quarter [5] - In 2024, Hyperfine reported revenues of $12.89 million, a 17% increase, and sold 48 Swoop MRI systems, improving its gross margin to 46%, while narrowing its net loss to $40.72 million [10] Market Context - Over three billion people globally suffer from brain diseases, with many lacking timely MRI access due to high costs and infrastructure needs; Hyperfine's AI-powered portable MRI aims to address this issue by providing affordable, point-of-care imaging [6] - The Swoop Portable MRI system is the first FDA-cleared portable MRI designed for bedside use, allowing rapid neuroimaging results without the need to transport critically ill patients [8] - The collaboration with NVIDIA will focus on advancing AI-powered image reconstruction and real-time clinical decision support, enhancing image quality and reducing scan times [9]

Foresight to equip autonomous drones and unmanned aerial vehicles with NVIDIA Jetson Orin platform for enhanced real-time perception, obstacle detection, and energy efficiency across diverse applications NESS ZIONA, Israel, March 18, 2025 (GLOBE NEWSWIRE) -- Foresight Autonomous Holdings Ltd. (Nasdaq and TASE: FRSX) (“Foresight” or the “Company”), a leading innovator in 3D perception systems, announces the integration of NVIDIA Jetson Orin computing platforms into its cutting-edge perception technologies. T ...

如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容编译自businesskorea，谢谢。 SK Hynix 暗示其下一代高带宽存储器 (HBM) 产品即将量产。这一发展是在人们对 AI 市场扩张 的预期日益高涨的背景下出现的，NVIDIA 首席执行官黄仁勋最近强调了不同时间段内 AI 芯片需 求的积极信号。 3月18日，业内人士透露，SK海力士在社交媒体上发布了一段神秘视频，展示了数字3变成4的过 程，并配文"数字3之后是什么。AI内存的下一章即将揭开"。这一预告引发了人们的普遍猜测，即 该公司已准备好开始大规模生产其 HBM4，这比目前供应全球 AI 市场的第五代产品 HBM3E 有 了重大改进。 HBM 技术以堆叠多个 DRAM 来增强带宽和效率而闻名，对于需要高性能计算资源的 AI 应用至 关重要。SK海力士此前已宣布计划在今年下半年供应下一代HBM4。然而，最近社交媒体的帖子 表明，商业生产的开始可能比预期的要早，可能与 NVIDIA 即将推出的芯片"Rubin"一致。 黄仁勋最近的言论凸显了人工智能应用的快速增长带动了对人工智能芯片的需求不断增长。黄仁勋 在上个月的盈利公告中指出："从短期、中期 ...

Group 1: Industry Overview - The humanoid robot index has increased by 39% from January to February 2025, with significant gains in the dexterous hand, reducer, and sensor sectors [1] - Policies promoting embodied intelligence are being introduced, with cities like Beijing and Shenzhen aiming to cultivate a trillion-level industry by 2027 [1] - 2025 is projected to be the year of large-scale production for humanoid robots, with leading manufacturers achieving shipments of over ten thousand units [1] Group 2: Software Developments - Large model technology is driving the application of embodied intelligence, transforming robots from execution tools to autonomous intelligent agents [2] - High-quality scene datasets are crucial for the deployment of humanoid robots, with Shanghai establishing the first heterogeneous humanoid robot training ground [2] - Physical AI virtual training environments, such as NVIDIA's CoSmos model, are enhancing robot training efficiency while reducing time and cost constraints [2] Group 3: Hardware Innovations - Recent advancements in dexterous hands show significant improvements, with Tesla's third-generation dexterous hand featuring 17 actuators and 22 degrees of freedom [3] - The mainstream approach for small brain systems is PC-based, leading to increased demand for specialized third-party companies [3] - Solid-state batteries are identified as a long-term solution for humanoid robot power needs, while fast-charging technology is a key short- to medium-term focus [3] Group 4: Application Trends - Apple's development of a smart lamp indicates a shift in how smart home devices interact with users, moving beyond voice to include emotional and physical expressions [3] - The integration of large models in smart home technology is expected to redefine user interaction, allowing for more natural communication [3] Group 5: Investment Opportunities - Key players in the humanoid robot supply chain include companies like Sanhua Intelligent Controls, Top Group, and Beite Technology [4] - Various chains associated with major companies such as Huawei and Yushun are highlighted for potential investment [4] - Specialized companies in niche segments, such as Suchen Technology and Lingyun Optics, are also noted for their strategic positioning in the market [4]