Welcome to our dedicated page for Nvidia Corporation news (Ticker: NVDA), a resource for investors and traders seeking the latest updates and insights on Nvidia Corporation stock.
NVIDIA Corporation (NVDA) drives innovation in accelerated computing through its industry-leading GPUs and AI platforms. This resource aggregates official announcements and verified news about the company's advancements in visual computing, data center solutions, and artificial intelligence infrastructure.
Investors and industry observers will find timely updates on product launches, strategic partnerships, and technological breakthroughs. The curated collection includes earnings reports, R&D milestones, and market expansion initiatives—all sourced directly from NVIDIA's communications and reputable financial analysis.
Key focus areas span GPU architecture innovations, AI software ecosystem developments, and enterprise computing solutions. Regular updates ensure stakeholders maintain informed perspectives on NVIDIA's role in shaping next-generation technologies across gaming, professional visualization, and cloud computing sectors.
Bookmark this page for streamlined access to NVIDIA's latest corporate communications. Combine these primary sources with sector analysis tools to better understand the company's evolving market position and technological impact.
NVIDIA and GE HealthCare announced a collaboration to advance autonomous imaging technology, focusing on X-ray and ultrasound applications. GE HealthCare will utilize the new NVIDIA Isaac™ for Healthcare medical device simulation platform, which includes pretrained models and physics-based simulations to accelerate R&D workflows.
The partnership aims to address the global healthcare access gap, as nearly two-thirds of the world's population lacks access to diagnostic imaging. The platform combines three key NVIDIA technologies: DGX™, Omniverse™, and Holoscan, enabling developers to create and test autonomous imaging systems in virtual environments before real-world deployment.
Early adopters of Isaac for Healthcare include Moon Surgical, Neptune Medical, and Xcath, with ecosystem partners such as Ansys, Franka, ImFusion, Kinova, and Kuka. The platform is now available in early access, offering simulation capabilities for various medical scenarios, from microscopic structures to full hospital facilities.
NVIDIA, Alphabet and Google have announced major collaborative initiatives to advance AI technology and its applications. The partnership includes infrastructure development, open model optimizations, and breakthroughs in robotics, drug discovery, and energy management.
Key developments include: Google Cloud becoming an early adopter of NVIDIA's GB300 NVL72 and RTX PRO 6000 Blackwell Server Edition GPU; NVIDIA implementing Google DeepMind's SynthID watermarking technology; and optimization of Google's Gemma open models for NVIDIA GPUs.
The collaboration extends to: Intrinsic's development of AI-powered robotics solutions using NVIDIA Isaac; Isomorphic Labs' drug discovery initiatives utilizing NVIDIA GPUs on Google Cloud; and X's Tapestry project exploring AI-powered solutions for electric grid optimization.
The GB300 NVL72 delivers 1.5x more AI performance than its predecessor and increases Blackwell's revenue opportunity by 50x for AI factories compared to NVIDIA Hopper.
NVIDIA has unveiled the NVIDIA Omniverse Blueprint for Earth-2 weather analytics, a groundbreaking initiative to enhance weather forecasting accuracy and disaster preparedness. The blueprint provides reference workflows including GPU acceleration libraries, physics-AI framework, and development tools to accelerate weather forecast model deployment.
Key features include NVIDIA NIM™ microservices for Earth-2, such as CorrDiff for downscaling and FourCastNet for predicting global atmospheric dynamics. The technology demonstrates remarkable efficiency, being 500x faster and 10,000x more energy-efficient than CPUs in delivering high-resolution weather predictions.
Several climate tech companies have already adopted the blueprint, including G42, JBA Risk Management, and Spire. The solution operates on NVIDIA DGX Cloud platform, powered by DGX GB200, HGX B200, and OVX supercomputers, enabling exceptional speed and scale in global climate simulations.
NVIDIA has unveiled the NVIDIA AI Data Platform, a groundbreaking reference design for enterprise storage platforms featuring AI query agents. The platform combines NVIDIA Blackwell GPUs, BlueField DPUs, and Spectrum-X networking to enhance AI reasoning workloads.
Key technological advantages include BlueField DPUs delivering 1.6x higher performance than CPU-based storage with 50% lower power consumption, and Spectrum-X accelerating AI storage traffic by up to 48%. The platform utilizes NVIDIA AI Enterprise software, including NIM microservices for Llama Nemotron models, and the AI-Q Blueprint.
Major storage providers including DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data, and WEKA are partnering with NVIDIA to create customized AI data platforms. These solutions will begin rolling out this month through NVIDIA-Certified Storage providers.
NVIDIA announced that leading computer-aided engineering (CAE) software vendors are accelerating their simulation tools by up to 50x with the new Blackwell platform. Major companies including Ansys, Altair, Cadence, Siemens and Synopsys have adopted the technology.
A significant breakthrough was demonstrated by Cadence, which successfully ran multibillion cell simulations on a single NVIDIA GB200 NVL72 server in under 24 hours - a task that previously required hundreds of thousands of CPU cores and several days.
The company also announced the general availability of the NVIDIA Omniverse Blueprint for real-time digital twins through the Rescale CAE Hub. Boom Supersonic will utilize this technology along with Blackwell-accelerated CFD solvers to design and optimize its new supersonic passenger jet, achieving 4x more design explorations.
NVIDIA has announced major expansions to its Omniverse platform, positioning it as a physical AI operating system for industrial digitalization. Leading companies including Accenture, Ansys, SAP, and Siemens are integrating the platform into their solutions.
The company introduced new Omniverse Blueprints connected to NVIDIA Cosmos world foundation models, enabling robot-ready facilities and large-scale synthetic data generation. Notable implementations include Schaeffler and Accenture using the Mega blueprint for material-handling automation, while Hyundai Motor Group and Mercedes-Benz are simulating various robotics solutions on assembly lines.
Major manufacturers like Foxconn, General Motors, and Pegatron are adopting Omniverse for industrial AI transformation. The platform is now available on major cloud services including AWS Marketplace, Microsoft Azure, with planned availability on Oracle Cloud Infrastructure and Google Cloud.
NVIDIA has unveiled its most advanced enterprise AI infrastructure - the DGX SuperPOD powered by Blackwell Ultra GPUs. The announcement includes two new systems: the DGX GB300 and DGX B300, designed for AI factory supercomputing.
The DGX GB300 features 36 NVIDIA Grace CPUs and 72 Blackwell Ultra GPUs, delivering up to 70x more AI performance than Hopper systems, with 38TB of memory. The air-cooled DGX B300 provides 11x faster AI inference and 4x faster training compared to Hopper, with 2.3TB of HBM3e memory.
NVIDIA also introduced Instant AI Factory, a managed service featuring the Blackwell Ultra-powered DGX SuperPOD. Equinix will be the first to offer these systems in 45 markets globally. The new infrastructure includes NVIDIA Mission Control software for data center operations. Both systems are expected to be available from partners later in 2025.
NVIDIA has announced a major release of NVIDIA Cosmos™ world foundation models (WFMs), introducing new tools for physical AI development. The release includes an open reasoning model and enhanced world generation control capabilities.
Key components include:
- Cosmos Transfer WFMs: Converts structured video inputs into controllable photoreal video outputs for synthetic data generation
- Cosmos Predict: Enables multi-frame generation and predicts motion trajectories
- Cosmos Reason: An open, customizable WFM with spatiotemporal awareness for understanding video data
Industry leaders including 1X, Agility Robotics, Figure AI, and Uber are among early adopters. The models are available for preview in the NVIDIA API catalog and listed in the Vertex AI Model Garden on Google Cloud, with Cosmos Predict and Transfer openly available on Hugging Face and GitHub.
NVIDIA has unveiled its new Llama Nemotron family of open reasoning AI models, designed to enhance AI agents' capabilities for complex tasks. The models, post-trained by NVIDIA, show up to 20% improved accuracy compared to base models and 5x faster inference speed than other leading open reasoning models.
Available in three sizes - Nano, Super, and Ultra - these models are optimized for different deployment needs and are accessible as NVIDIA NIM™ microservices. Major tech companies including Microsoft, SAP, ServiceNow, Accenture, and others are already integrating these models into their platforms.
The announcement includes new tools within the NVIDIA AI Enterprise software platform, such as the AI-Q Blueprint, AI Data Platform, and enhanced NIM microservices. The Nano and Super models are currently available through build.nvidia.com and Hugging Face, with free access for NVIDIA Developer Program members for development purposes.
NVIDIA has unveiled groundbreaking technologies for humanoid robot development, headlined by the Isaac GR00T N1, the world's first open, customizable foundation model for humanoid reasoning and skills. The announcement, made on March 18, 2025, includes collaboration with Google DeepMind and Disney Research to develop Newton, an open-source physics engine.
GR00T N1 features a dual-system architecture: System 1 for fast-thinking actions and System 2 for methodical decision-making. The model can handle common tasks like grasping and moving objects, addressing global labor shortages estimated at over 50 million people.
Key developments include:
- The NVIDIA Isaac GR00T Blueprint for synthetic data generation
- A collaboration to develop MuJoCo-Warp, expected to accelerate robotics machine learning workloads by 70x
- Generation of 780,000 synthetic trajectories in just 11 hours, equivalent to 9 months of human demonstration data
- Early access partners including Agility Robotics, Boston Dynamics, and others
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