全部/科技/Blog

NVIDIA · Blog

24分钟前更新
HISTORY近 30 天历史柱高表示当天去重热搜数量
211020111812181318142015241619171818181918202021222220232024182518261827182818291830200122021803180418052006180720081909
09/10—10/09 有历史数据
  • 01
    Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
    Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through […]NVIDIA Writers
  • 02
    Rally Up: ‘Gears of War: E-Day’ Launches on GeForce NOW
    Gears of War: E-Day leads the charge on GeForce NOW this week, bringing Marcus Fenix and Dom Santiago’s first fight against the Locust Horde to the cloud with GeForce RTX-powered performance. A new way to join the action is also coming: Fire TV users will soon be able to purchase GeForce NOW memberships directly through […]GeForce NOW Community
  • 03
    NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents
    At a Microsoft event in San Francisco on Wednesday, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows. “If you […]Gerardo Delgado
  • 04
    Why Telecom Operators Are Building Their AI Strategy on Open Models
    Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with […]Kanika Atri
  • 05
    From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps
    Breast cancer is the most commonly diagnosed cancer among American women — yet the gaps in care are wide. A majority of women over age 40 skip the recommended annual screening. Radiologists are reading more mammograms with fewer colleagues. And when a diagnosis arrives, the tests that inform treatment can take weeks to return results. […]Chelsea Sumner
  • 06
    NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI
    Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, […]Allen Bourgoyne
  • 07
    How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast
    GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, […]Dion Harris
  • 08
    Fall Into 25 New Games on GeForce NOW This October
    Spooky season is streaming in. Alongside falling leaves, pumpkin spice and everything nice, 25 new games are joining GeForce NOW throughout October, including six ready to play this week. From a new CONTROL Resonant reward for Performance and Ultimate members to The Witcher 3: Wild Hunt – Remastered joining the cloud, this GFN Thursday is […]GeForce NOW Community
  • 09
    Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment
    AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]Shruti Koparkar
  • 10
    NVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000
    Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]Sharon Gibbons
  • 11
    From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI
    Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]Stuart Pitts
  • 12
    How Open Science Can Help Researchers Prepare for the Next Pandemic
    When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The next pandemic may not offer the same head start. To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google […]Anthony Costa
  • 13
    Contain the Chaos: ‘CONTROL Resonant’ Launches on GeForce NOW
    A warped Manhattan is waiting in the cloud this week. Remedy Entertainment’s CONTROL Resonant brings Dylan Faden’s extraordinary abilities and a paranatural crisis to GeForce NOW at launch. With the release comes the final days of the CONTROL Resonant Ultimate Membership Bundle. Purchase a 12-month GeForce NOW Ultimate membership through Sunday, Sept. 27, and receive […]GeForce NOW Community
  • 14
    Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale
    When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it […]Matthew Leib
  • 15
    At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia
    NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced tools to accelerate their work in AI and high-performance computing. At the event, NVIDIA and its partners are showcasing breakthrough AI advancements across the Southeast Asia region […]NVIDIA Writers
  • 16
    NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
    To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]Katie Washabaugh
  • 17
    NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories
    Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is introducing […]Vishal Ganeriwala
  • 18
    Why Deploying Physical AI at Scale Demands Safety at Every Layer
    Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]Riccardo Mariani