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.
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NVIDIA announces the availability of NVIDIA Omniverse Cloud APIs, enabling integration of core technologies into design and automation software for digital twins. Major industrial software makers like Ansys, Cadence, Microsoft, Siemens, and others are embracing these APIs. Siemens is integrating Omniverse Cloud APIs into its Xcelerator Platform, while Ansys and Cadence are using them for data interoperability and simulation. The APIs aim to enhance collaboration, visualization, and generative AI capabilities in industrial applications, accelerating autonomous machine development. The announcement highlights the potential of Omniverse technologies in transforming industries and creating immersive digital twin experiences.
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NVIDIA introduces a new catalog of GPU-accelerated NIM microservices and cloud endpoints for pretrained AI models optimized to run on CUDA-enabled GPUs. Enterprises can utilize these microservices for data processing, LLM customization, inference, and more. Leading application platform providers like Cadence, CrowdStrike, SAP, and ServiceNow are already onboard.
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NVIDIA launches over two dozen new microservices for healthcare enterprises worldwide, enabling the latest advances in generative AI. These microservices include optimized AI models and workflows for drug discovery, medical imaging, and genomics analysis. The suite of microservices can accelerate transformation for healthcare companies by introducing opportunities for pharmaceutical companies, doctors, and hospitals. The microservices can be accessed as NVIDIA CUDA-X microservices to enhance healthcare workflows and enable the integration of AI into new and existing applications.
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Microsoft and NVIDIA announce powerful new integrations to accelerate AI offerings on Azure, including the adoption of NVIDIA Grace Blackwell Superchip, Omniverse Cloud APIs, and generative AI Microservices.
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NVIDIA introduces Earth-2 cloud platform with AI-powered climate simulation APIs to combat extreme weather, offering high-resolution visualizations and faster forecasting. The platform includes groundbreaking generative AI models like CorrDiff for improved accuracy and energy efficiency. Taiwan Weather Administration plans to use Earth-2 for typhoon forecasting, while The Weather Company integrates its meteorological data with NVIDIA Omniverse for better weather visualization. Early adopters include weather analytics platforms and startups exploring climate tech solutions.
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AWS and NVIDIA announce the integration of NVIDIA Grace Blackwell GPU-based Amazon EC2 instances and NVIDIA DGX Cloud to accelerate AI performance. The collaboration aims to provide end-to-end control of training data and model weights, enhancing security for AI applications. Project Ceiba, an AI supercomputer exclusively on AWS, will feature 20,736 GB200 Superchips capable of processing 414 exaflops. The partnership accelerates AI innovation across healthcare and life sciences.
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NVIDIA announces the next-generation AI supercomputer DGX SuperPOD powered by Grace Blackwell Superchips for trillion-parameter models. It features liquid-cooled architecture, 11.5 exaflops of AI supercomputing, and 240 terabytes of memory, scaling to more with additional racks. The new system combines NVIDIA accelerated computing, networking, and software for generative AI training and inference workloads.
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NVIDIA announces Quantum-X800 InfiniBand and Spectrum-X800 Ethernet switches for high-performance AI infrastructure, boosting networking speed and efficiency for AI, cloud, data processing, and HPC workloads. Initial adopters include Microsoft Azure, Oracle Cloud Infrastructure, and Coreweave. The new platforms set a new standard for extreme performance, providing 5x higher bandwidth capacity and 9x increase in computing power compared to the previous generation. NVIDIA software support enhances network acceleration and performance for trillion-parameter AI models, while ecosystem momentum shows wide adoption by leading vendors globally.
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NVIDIA announces the Blackwell platform, featuring new GPU, NVLink, and Resilience Technologies, enabling trillion-parameter-scale AI models. The platform reduces operating costs and energy consumption by up to 25x, with breakthroughs in data processing, engineering simulation, and more. Major cloud providers and AI companies are expected to adopt the technology.
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NVIDIA cuLitho, in collaboration with TSMC and Synopsys, accelerates semiconductor manufacturing by 40-60x, integrating generative AI algorithms to enhance chip fabrication. The platform significantly reduces CPU compute time, costs, and space, advancing semiconductor scaling and enabling innovative patterning technologies. The introduction of breakthrough generative AI further speeds up the optical proximity correction process, revolutionizing chip fabrication for advanced nodes.
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