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.
IBM has announced new collaborations with NVIDIA to enhance enterprise AI capabilities, including planned integrations based on the NVIDIA AI Data Platform reference design. The partnership focuses on helping enterprises scale and manage generative AI workloads and agentic AI applications more effectively.
Key announcements include:
- A new content-aware storage (CAS) capability for IBM Fusion, planned for Q2 2025
- Expanded watsonx integrations with NVIDIA NIM
- Introduction of NVIDIA H200 instances on IBM Cloud
- New IBM Consulting capabilities for agentic reasoning
The collaboration aims to overcome AI's technical challenges through improved data management, performance, security, and governance. According to IBM's 2024 report, 77% of executives now consider generative AI market-ready, up from 36% in 2023.
Oracle and NVIDIA have announced a groundbreaking integration between NVIDIA's accelerated computing and inference software with Oracle's AI infrastructure. The collaboration will make over 160 AI tools and 100+ NVIDIA NIM™ microservices available through the Oracle Cloud Infrastructure (OCI) Console.
Key features of the partnership include:
- Native availability of NVIDIA AI Enterprise through the OCI Console
- Integration of OCI's 150+ AI and cloud services with NVIDIA computing
- No-code deployment capabilities through OCI AI Blueprints
- Access to pre-optimized NVIDIA NIM microservices in OCI Data Science
- Acceleration of AI Vector Search in Oracle Database 23ai
The collaboration will enable organizations to deploy AI solutions across data centers, public cloud, or edge environments. OCI will be among the first cloud providers to offer the next-generation NVIDIA Blackwell platform, with the GB300 NVL72 delivering 1.5x more AI performance than its predecessor.
NVIDIA has announced plans to establish the NVIDIA Accelerated Quantum Research Center (NVAQC) in Boston, focusing on advancing quantum computing technology. The center will integrate quantum hardware with AI supercomputers to enable accelerated quantum supercomputing.
The facility will collaborate with leading quantum computing innovators including Quantinuum, Quantum Machines, and QuEra Computing, alongside researchers from Harvard Quantum Initiative and MIT's Engineering Quantum Systems group. The center will utilize NVIDIA GB200 NVL72 rack-scale systems, described as the most powerful hardware for quantum computing applications.
Key focus areas include solving quantum computing challenges such as qubit noise, quantum error correction, and transforming experimental processors into practical devices. The center will employ the NVIDIA CUDA-Q™ quantum development platform for developing hybrid quantum algorithms. Operations are expected to commence later in 2025.
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.
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