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Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

網站
http://www.nvidia.com
產業
電腦硬體製造
公司規模
10,001+ 名員工
總部
Santa ClaraCA
類型
上市公司
創立時間
1993
��長
GPU-accelerated computing、artificial intelligence、deep learning、virtual reality、gaming、self-driving cars、supercomputing、robotics、virtualization、parallel computing、professional graphics和automotive technology

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動態消息

  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    Beamr is raising the bar for live sports streaming with NVIDIA RTX Video Super Resolution, enabling premium 4K/1080p experiences that are quality-validated, bitrate-efficient, and ready to deliver without rethinking the entire workflow.

    瀏覽Beamr的組織專業

    4,207 位關注者

    The 2026 World Cup has plenty of exciting football moments, and people will watch on whatever screen they have. But the fans watching in 4K HDR at home set a bar that legacy 720p or 1080p contribution can't easily meet. Beamr stack powered by NVIDIA enables live sports broadcast to deliver 4K and 1080p outputs from lower-resolution sources - already this season. And broadcasters can validate that on their own content. → NVIDIA RTX Video Super Resolution → Beamr's content-adaptive bitrate technology (CABR) → Beamr VISTA for subjective quality validation - how viewers actually experience the content Read our blog: https://shorturl.at/H7jxu NVIDIA AI

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  • NVIDIA轉發了此項目

    瀏覽Sharon AI, Inc的組織專業

    7,965 位關注者

    NVIDIA Highlights Sharon AI as an Early Partner in New AI Infrastructure Initiative We're proud to share that NVIDIA has featured Sharon AI, Inc in its latest announcement introducing a new business model designed to expand access to AI infrastructure at scale. In the announcement, NVIDIA outlines a new approach to supporting the next generation of AI factories, helping AI cloud providers deliver accelerated computing to startups, enterprises, model builders and research organisations through a revenue-sharing and credit-support model. As part of the announcement, NVIDIA identified Sharon AI as one of the first companies working with NVIDIA under this new initiative. The post also highlights Sharon AI's planned deployment of up to 40,000 NVIDIA Grace Blackwell GB300 GPUs, supporting our mission to build sovereign, large-scale AI compute infrastructure capable of serving the growing demands of AI training and inference. As our CEO and Co-Founder, James Manning, said in the announcement: "This strategic collaboration with NVIDIA marks a pivotal moment in Sharon AI's mission to deliver sovereign, large-scale AI compute infrastructure." The rapid adoption of AI is driving unprecedented demand for scalable, high-performance compute. We're excited to be working alongside NVIDIA as this next generation of AI infrastructure is deployed, helping provide customers with access to world-class accelerated computing that can support the most demanding AI workloads. We're honoured to be recognised by NVIDIA as an early participant in this initiative and look forward to continuing to build the infrastructure that will power the next wave of AI innovation. We encourage customers, partners and the broader AI community to read NVIDIA's announcement and follow our journey as we continue expanding Sharon AI's AI factory capabilities. 🔗 Read the full article: https://lnkd.in/e9u_greS $SHAZ $NVDA

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  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    Thank you to the partners across America helping bring the supply chain home. In 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks, and more. Together, we’re helping create the tools for better healthcare, breakthrough scientific discovery, stronger industrial productivity, and global technology leadership.

  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    AI is shifting from model training to always-on token production, and that shift demands a new business model. NVIDIA is partnering with AI clouds to deploy large‑scale, multi‑tenant AI factories through revenue-sharing and credit-support. This opens up compute access to the fast‑growing AI ecosystem of startups, model builders, enterprises, research organizations and regional AI players. 🔗 Read more: https://nvda.ws/4bkMsJM

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  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    Before a robot can change the world, it needs software that builders can trust. NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models. “When more people can build robots,” he says, “the future gets here faster.” Read more about Jaiveer and the Isaac ROS team’s work here: https://nvda.ws/4xQEMsu

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  • NVIDIA轉發了此項目

    瀏覽NVIDIA Omniverse的組織專業

    102,911 位關注者

    Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems. 👏 Read how developers can use NVIDIA Cosmos and NVIDIA Metropolis tools and agent skills to: 👉 Generate synthetic training data 👉 Fine-tune vision models faster 👉 Build reusable workflows for deploying vision AI agents across edge and cloud Learn how Roboflow, DeepHow, and Linker Vision, are showing how synthetic data and digital twins accelerate deployment of vision agents across manufacturing and smart cities. 📰 Read the blog.

  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    America is a nation of builders. For 250 years, America has built railroads that connected a continent, power grids that lit up cities, factories that powered prosperity, semiconductors that made the digital age possible, and the internet that opened knowledge to the world. Now, America is building again. NVIDIA and our partners are investing in American manufacturing, supply chains, energy grids, and skilled workforces to help people build more, discover faster, and solve the nation’s and the planet’s most important problems. See how AI is creating new opportunities to build in America: https://nvda.ws/4xTX8ZF

  • NVIDIA轉發了此項目

    瀏覽NVIDIA AI的組織專業

    1,921,196 位關注者

    Reasoning about the world and generating it are not the same thing.💡 One is sequential while the other can be parallel and continuous. Physical AI needs to do both. NVIDIA Cosmos 3 uses a Mixture of Transformers architecture instead of forcing one transformer to do it all.

  • 瀏覽NVIDIA的組織專業

    5,757,178 位關注者

    From Gaussian Splatting to real-time rendering, it's exciting to see our collaboration with Zero Density and Chaos advancing the future of virtual production.

    瀏覽Zero Density的組織專業

    37,557 位關注者

    Tech Talk: Kuban Altan from Zero Density, Lon Grohs from NVIDIA and Vladimir Koylazov from Chaos discussed the future of rendering technologies! At NAB 2026, we showed Reality 5 with Chaos Vantage, NVIDIA’s 3D Gaussian splatting, and Unreal Engine, all at the same time! Content originally created for Chaos V-Ray can be brought into Chaos Vantage and combined with camera tracking, green screen workflows, reflections, shadows, occlusion, and Z-depth in Reality 5. This is still a technology preview, but the direction is clear: The future of virtual production will be more realistic, more flexible, and much closer to the way artists already create. Watch the conversation to discover more! #VirtualProduction #Rendering #RealtimeGraphics #BroadcastTechnology #VRay

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