Turning AI Concepts into Reality at Booth #2121Summary:SAN JOSE, Calif., March 18, 2025 /PRNewswire/ -- ADLINK Technology Inc., a global leader in edge computing and an NVIDIA Elite Partner, is set to showcase its Edge AI, generative AI, and robotics solutions at the upcoming 2025 NVIDIA GTC conference, at booth #2121. ADLINK Edge AI and Generative AI Innovations Accelerating Economical Generative AI at the EdgeGenerative AI adoption at edge devices is often limited by DRAM capacity constraints when r ...

Core Insights - NVIDIA is establishing a research center in Boston to advance quantum computing technologies in collaboration with leading hardware and software companies [1][2] - The NVIDIA Accelerated Quantum Research Center (NVAQC) aims to integrate quantum hardware with AI supercomputers, addressing significant challenges in quantum computing [2][4] - Collaborations with innovators like Quantinuum, Quantum Machines, and QuEra Computing, as well as academic institutions such as Harvard and MIT, will drive advancements in quantum computing [3][6] Company Developments - The NVAQC will utilize NVIDIA's GB200 NVL72 rack-scale systems, the most powerful hardware for quantum applications, to facilitate complex simulations and quantum error correction [4][5] - The center will employ the NVIDIA CUDA-Q™ quantum development platform to enable the development of new hybrid quantum algorithms and applications [5][7] - The NVAQC is expected to commence operations later in 2025, enhancing the Boston area's quantum ecosystem [7] Industry Impact - Quantum computing is anticipated to augment AI supercomputers, addressing critical issues in fields such as drug discovery and materials development [4][10] - The collaboration between commercial and academic partners at the NVAQC is expected to accelerate research in quantum error correction and practical quantum computing applications [6][7] - The establishment of the NVAQC signifies a strategic move by NVIDIA to position itself at the forefront of quantum computing innovation [1][4]

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]

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 ...

Storage Providers Build Infrastructure Featuring AI Query Agents That Tap NVIDIA Computing, Networking and Software to Reason and Rapidly Generate Accurate Responses to Complex Queries NVIDIA AI Data Platform NVIDIA AI Data Platform is a customizable reference design that leading storage providers are using to build a new class of AI infrastructure for demanding AI inference workloads. SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- NVIDIA today announced the NVIDIA AI Data Platform, a customizable ...

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]