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VentureBeat
2w
95
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Nvidia gets industrial software firms to integrate Omniverse to accelerate physical AI
- Nvidia partners with industrial software and service providers to integrate Omniverse and accelerate physical AI in industrial digitalization.
- Ansys, Databricks, Dematic, Omron, SAP, Schneider Electric, Siemens, and more are among those integrating Nvidia Omniverse.
- Nvidia announces new Omniverse Blueprints and models for robot-ready facilities and synthetic data generation for physical AI development.
- Mega and Nvidia AI Blueprint are available for testing multi-robot fleets, video search, and summarization in industrial settings.
- Manufacturing leaders like Schaeffler, Accenture, Hyundai, Mercedes-Benz, Pegatron, and Foxconn are adopting Omniverse for optimizing operations with physical AI.
- Companies like KION Group, Dematic, Idealworks, and SAP are integrating Mega for AI-powered automation in warehouses and supply chain solutions.
- A new Omniverse Blueprint for AI factory digital twins aids in designing and simulating AI factory layouts for efficiency.
- Nvidia Isaac GR00T Blueprint enables quick synthetic data generation for humanoid developers, fast-tracking robot development.
- Massive amounts of digital and physical world data are integrated using Omniverse to unify physical-world data and applications.
- General Motors, Unilever, and other companies adopt Omniverse for enhancing factories, training platforms, and streamlining marketing content creation.
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VentureBeat
2w
125
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Nvidia launches Blackwell RTX Pro for workstations and servers
- Nvidia launches the Nvidia RTX Pro Blackwell series, a new generation of GPUs for workstations and servers.
- The GPUs target AI, technical, creative, engineering, and design professionals with accelerated computing, AI inference, ray tracing, and neural rendering.
- Announced during Jensen Huang's keynote at GTC 2025, the GPUs cater to tasks like AI, simulation, 3D design, and developing physical AI for autonomous systems.
- Bob Pette, Nvidia's VP of enterprise platforms, emphasizes the GPUs will boost productivity, performance, and speed across various industries.
- The RTX Pro Blackwell GPUs excel in generative, agentic, and physical AI performance, efficiency, and scale.
- They include features like fault isolation for secure resource allocation and support Nvidia Blackwell Max-Q technologies for AI optimization in laptops.
- Designed for data center deployments, the RTX PRO 6000 Blackwell Server Edition offers powerful performance for AI and visual computing applications.
- Nvidia partners like Foster + Partners have praised the new GPUs for their performance boost and rendering capabilities.
- Enterprises can leverage Nvidia AI platforms, Tensor Cores, and CUDA technology for accelerated deep learning tasks with the RTX Pro GPUs.
- The GPUs will be available through global distribution partners and manufacturers starting from April for the Workstation Edition and later in the summer for other models.
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VentureBeat
2w
125
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Nvidia Omniverse Blueprint enables better Earth-2 weather forecasting
- Nvidia unveiled the Nvidia Omniverse Blueprint for Earth-2 weather analytics, aiming to enhance weather forecasting accuracy.
- The new Omniverse Blueprint offers reference workflows with Nvidia GPU acceleration libraries and AI frameworks for global organizations.
- Nvidia's CEO, Jensen Huang, introduced the Earth-2 weather analytics during the GTC 2025 event, emphasizing its significance.
- The Earth-2 platform aids in prediction and risk mitigation of extreme weather events, including AI-driven forecasting models.
- Nvidia collaborates with climate tech companies like G42, JBA Risk Management, and Spire to develop advanced solutions in weather analytics.
- Companies leverage high-resolution weather and climate modeling to enhance forecasting accuracy and speed up decision-making processes.
- Spire Global benefits from AI components of the blueprint for developing new AI products with enhanced forecasting capabilities.
- The Earth-2 platform integrates various AI tools, including CorrDiff, for faster and more energy-efficient weather prediction methods.
- Esri and OroraTech collaborate with Nvidia to connect their platforms to Earth-2, further advancing geospatial and weather data visualization.
- Nvidia Omniverse serves as a key platform for developers to create RTX-powered visualization pipelines for geospatial and weather data.
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VentureBeat
2w
220
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Rune Aero uses Nvidia GPUs to cut virtual wind tunnel costs by 80%
- Rune Aero has revolutionized its aircraft development process using an interactive virtual wind tunnel powered by Physics AI, achieving an 80% reduction in early design costs
- The digital twin technology combines Luminary Cloud's Nvidia CUDA-X-accelerated CFD simulations with an Nvidia Omniverse Blueprint for real-time optimization
- Virtual wind tunnel testing earlier in the design process leads to reduced technical risks and costs for Rune Aero compared to traditional physical wind tunnel tests
- The results include a 70% reduction in operating costs for cargo operators, doubled payload capacity, and 50% lower fuel consumption
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Hitconsultant
2w
203
Image Credit: Hitconsultant
GE HealthCare & NVIDIA to Develop Autonomous Diagnostic Imaging with AI
- GE HealthCare and NVIDIA have announced an expanded collaboration to revolutionize diagnostic imaging through autonomous technologies, starting with X-ray and ultrasound.
- The partnership aims to develop AI-enabled X-ray and ultrasound systems that can autonomously capture and analyze medical images, reducing the workload on technicians and radiologists.
- GE HealthCare will utilize the NVIDIA Isaac for Healthcare platform to train and test autonomous ultrasound and X-ray devices before real-world deployment.
- The collaboration also aims to advance ultrasound solutions to streamline workflows, reduce physical strain, and utilize AI for advanced image understanding and robotic navigation.
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Sap
2w
250
AI That Thinks, Learns, and Acts: How SAP and NVIDIA Are Shaping the Future of Business AI
- SAP and NVIDIA are working together to deliver advanced AI capabilities to businesses worldwide.
- The partnership between SAP and NVIDIA has already transformed business operations.
- AI agents like Joule are helping consultants quickly surface relevant insights from SAP-exclusive content.
- AI-driven advancements are reshaping operations in manufacturing, retail, and asset-intensive industries.
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Ubuntu
2w
384
Image Credit: Ubuntu
Ubuntu now officially supports NVIDIA Jetson: powering the future of AI at the edge
- Canonical announces General Availability of Ubuntu for NVIDIA Jetson Orin, bringing optimized performance and support for AI and robotics at the edge.
- Ubuntu's official support for NVIDIA Jetson platform enhances AI innovation potential across various industries.
- Benefits include unparalleled performance, enterprise-ready security, seamless development to deployment, and reliable stability on certified hardware.
- Introduction of Ubuntu Core for NVIDIA Jetson offers production images, enhanced security, efficient device management, and agile containerization.
- Canonical's collaboration with NVIDIA democratizes AI at the edge, combining reliability and accelerated computing for seamless AI development.
- The GA release under Canonical's Silicon Partner Program ensures optimized images of Ubuntu for certified hardware.
- Enterprise and individual developers can now access the GA release of Ubuntu for NVIDIA Jetson devices for edge AI and robotics applications.
- Starting with Ubuntu on NVIDIA Jetson is simplified by selecting the OS image, flashing it onto a disk, and loading it onto the board.
- The collaboration aims to set a new standard for AI development and deployment at the edge, shaping the future of AI and driving digital transformation.
- Canonical provides open source security, support, and services, delivering trusted open source solutions for a wide range of customers.
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VentureBeat
2w
73
Image Credit: VentureBeat
Nvidia debuts Llama Nemotron open reasoning models in a bid to advance agentic AI
- Nvidia has introduced a new set of open source Llama Nemotron reasoning models to accelerate agentic AI workloads.
- The reasoning models are based on Nvidia's Nemotron models and are competitive with DeepSeek models, offering business-ready AI reasoning models for advanced agents.
- Nvidia's Llama Nemotron models have exceptional reasoning capabilities across math, tool calling, instruction following, and conversational tasks.
- Nvidia also announced the Agent AI-Q blueprint, an open-source framework that enables AI agents to query multiple data types and connect to enterprise systems.
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Medium
2w
371
Image Credit: Medium
CUDA-X for Every Industry: Revolutionizing Computing Across Domains
- NVIDIA's CUDA-X is a comprehensive platform built on its CUDA ecosystem, providing optimized libraries for various industries.
- CUDA-X enables advanced physics simulations, accelerates data processing tasks, supports CAE workflows, and facilitates deep learning frameworks.
- It also aids in quantum computing research, climate modeling, medical imaging, and genomic sequencing, among other applications.
- By harnessing the power of GPU acceleration through specialized libraries, CUDA-X empowers innovators across industries to tackle complex challenges efficiently.
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TechCrunch
2w
272
Image Credit: TechCrunch
GM teams up with Nvidia to bring AI to robots, factories, and self-driving cars
- General Motors (GM) partners with Nvidia to bring AI to robots, factories, and self-driving cars.
- Nvidia will provide AI infrastructure, including GPUs, to GM and assist in building custom AI systems.
- GM plans to utilize Nvidia Omniverse and Drive AGX for AI manufacturing models and in-vehicle hardware.
- The collaboration aims to revolutionize manufacturing, design, and driving experiences for GM vehicles.
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TechCrunch
2w
322
Image Credit: TechCrunch
Nvidia debuts Groot N1, a foundation model for humanoid robotics
- Nvidia is releasing an AI foundation model for humanoid robotics called Groot N1, which is a 'generalist' model trained on synthetic and real data.
- Groot N1 features a 'dual system architecture' inspired by human cognitive processes, allowing the robot to perceive and reason about its environment and instructions as well as translate plans into actions.
- Nvidia is making Groot N1 available in open source, along with simulation frameworks and blueprints for generating synthetic training data.
- The age of generalist robotics has arrived, according to Nvidia CEO Jensen Huang, although challenges remain for creating mass-produced humanoid robotic systems.
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VentureBeat
2w
139
Image Credit: VentureBeat
Nvidia will supercharge humanoid robot development with Isaac GR00T N1 foundation model for human-like reasoning
- Nvidia introduced technologies to enhance humanoid robot development, including Isaac GR00T N1, a customizable foundation model for humanoid reasoning and skills.
- The technologies include simulation frameworks, such as the Isaac GR00T Blueprint for synthetic data generation, and Newton, a physics engine developed with Google DeepMind and Disney Research.
- GR00T N1 accelerates industries facing labor shortages by offering pretrainable models for robotics developers worldwide.
- Nvidia's CEO highlighted that generalist robotics are emerging with the new technologies and data-generation frameworks.
- The GR00T N1 model features a dual-system architecture inspired by human cognition, enabling fast-thinking and slow-thinking robotic decision-making.
- Developers can generalize GR00T N1 across various tasks and industries, enhancing robot reasoning and skills.
- Huang demonstrated a humanoid robot performing tidying tasks autonomously with post-trained policies built on GR00T N1.
- Collaborations with leading humanoid developers worldwide have provided early access to GR00T N1, aiming to advance robot learning capabilities.
- Nvidia, Google DeepMind, and Disney Research are developing Newton, an open-source physics engine to improve robot learning precision and task handling.
- The Nvidia Isaac GR00T Blueprint aids in generating synthetic motion data for manipulation tasks, significantly reducing the need for extensive human demonstration data.
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The Verge
2w
272
Image Credit: The Verge
Nvidia’s cute ‘Digits’ AI desktop is coming this summer with a new name and a big brother
- Nvidia has unveiled its new DGX Spark and DGX Station 'personal AI supercomputers' powered by the Grace Blackwell platform.
- The DGX Spark, formerly known as Digits, is the world's smallest AI supercomputer and is available for preorder.
- The Spark is equipped with Nvidia's GB10 Blackwell Superchip, offering up to 1,000 trillion operations per second (TOPS) of AI compute.
- The larger DGX Station utilizes the more powerful GB300 Blackwell Ultra super chip and will be manufactured by OEM partners such as Asus, Dell, HP, Boxx, Lambda, Supermicro, and Lenovo.
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Analyticsindiamag
2w
298
Image Credit: Analyticsindiamag
General Motors Collaborates with NVIDIA for Next-Gen Vehicles
- General Motors (GM) will collaborate with NVIDIA to use AI for next-generation vehicle experience and manufacturing.
- GM will leverage NVIDIA's accelerated computing platforms for factory planning and robotics, and use NVIDIA DRIVE AGX for advanced driver-assistance systems.
- The partnership aims to create digital twins of assembly lines using NVIDIA Omniverse for virtual testing and production simulations.
- NVIDIA also launched Halos, a comprehensive safety system for Autonomous Vehicles (AVs), ensuring safe AV development from cloud to car.
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The Verge
2w
86
Image Credit: The Verge
Nvidia announces Blackwell Ultra GB300 and Vera Rubin, its next AI ‘superchips’
- Nvidia has announced the release of the Blackwell Ultra GB300 and Vera Rubin chips for AI.
- The Blackwell Ultra GB300 is expected to ship in the second half of this year, with an architecture by Vera Rubin set for the second half of next year and Rubin Ultra planned for 2027
- The Blackwell Ultra GB300 offers the same AI performance as the original Blackwell but with increased memory and additional feature improvements.
- Nvidia is positioning its new chips as essential for the future of computing, stating that the industry will require significantly more computational power than previously anticipated.
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