NVIDIA

Blog · 科技

4 个榜单4小时前更新默认榜单

NVIDIA · Blog

4小时前更新
  • 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
共 18 条热搜查看完整榜单

NVIDIA · Robotics News

7小时前更新
  • 01
    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
  • 02
    Into the Omniverse: How Open World Models Push the Frontier of Physical AI
    In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by whether an open ecosystem reaches every sector.Ming-Yu Liu
  • 03
    2,000 Interns, One Mission: Shape the Future of AI at NVIDIA
    Summer means intern season — and this year, NVIDIA welcomed over 2,000 interns from nearly 300 universities to teams spanning every area of the company, from open source software platforms to hardware verification, gaming technology and autonomous vehicle (AV) development. NVIDIA internships are taking place in around two dozen countries. One shared theme across each […]NVIDIA Writers
  • 04
    NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
    Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large datasets and robot foundation models to simulation, compute and validation tools. NVIDIA and Hugging Face are […]Sasa Docca
  • 05
    Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time
    Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First TimeChen Su
  • 06
    NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
    NVIDIA and Doosan Group are expanding their collaboration to advance new opportunities across physical AI, robotics and AI factory infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG. The collaboration will bring together NVIDIA’s full-stack accelerated computing platforms with Doosan Group’s capabilities in industrial automation, power generation and advanced electronics materials […]Madison Huang
  • 07
    NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
    At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — reconstructing real-world scenes, generating edge-case scenarios, training policies, evaluating […]Pranjali Joshi
  • 08
    NVIDIA Jetson Brings Agentic AI to the Physical World
    Agentic AI is getting physical. At COMPUTEX on Tuesday, NVIDIA announced NVIDIA JetPack 7.2 and NVIDIA NemoClaw support on NVIDIA Jetson. JetPack 7.2 brings agentic AI skills, Yocto project support, NVIDIA CUDA 13 on NVIDIA Jetson Orin, a substantial performance gain on Jetson AGX Orin 32GB module and Multi-Instance GPU (MIG) support on NVIDIA Jetson […]Chen Su
  • 09
    Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived
    Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.Bhoomi Gadhia
  • 10
    NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026
    Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production. The question is no longer whether to adopt AI, but how fast and at what […]James McKenna
  • 11
    National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources
    This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond. Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual […]NVIDIA Writers
  • 12
    As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge
    The Cat 306 CR mini-excavator weighs just under eight tons and fits inside a standard shipping container. It’s the machine a contractor rents when the job site is tight: a utility trench near a foundation, a basement dig in a dense neighborhood. The cab is roughly the size of a phone booth. The operator sits […]Chen Su
  • 13
    Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems
    Open source has become essential for driving innovation in robotics and autonomy. By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative development that accelerates the path to safer, more capable autonomous systems.Sasa Docca
  • 14
    Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care
    The next universal technology since the smartphone is on the horizon — and it may be a little less pocket friendly. The Moonshot research program, funded by the Japan Science and Technology Agency and accelerated by NVIDIA AI and robotics technologies, is working to create a world by 2050 where AI-powered, autonomously learning robots are […]Zoe Kessler
  • 15
    Robots’ Holiday Wishes Come True: NVIDIA Jetson Platform Offers High-Performance Edge AI at Festive Prices
    Editor’s note: This blog has been updated to showcase additional recent innovations tapping into the NVIDIA Jetson platform. Developers, researchers, hobbyists and students can take a byte out of holiday shopping this season as NVIDIA has unwrapped special discounts on the NVIDIA Jetson family of developer kits for edge AI and robotics — available through […]Chen Su
  • 16
    Nemotron Labs: 3 Ways to Bring Agentic AI to Computer Vision Applications
    Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platforms. Each post highlights practical ways to use an open stack to deliver real value in production — from transparent research copilots […]Esther Lee
  • 17
    Into the Omniverse: Open World Foundation Models Generate Synthetic Worlds for Physical AI Development
    Physical AI models — which power robots, autonomous vehicles and other intelligent machines — must be safe, generalized for dynamic scenarios and capable of perceiving, reasoning and operating in real time.Katie Washabaugh
  • 18
    NVIDIA Contributes to Open Frameworks for Next-Generation Robotics Development
    This year’s ROSCon conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System (ROS) — the world’s most widely adopted open framework for building robots. At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the Open Source Robotics Alliance (OSRA), as well as new robotics […]Kalyan Vadrevu
共 18 条热搜查看完整榜单
共 100 条热搜查看完整榜单
NVIDIA热榜 | 什么火了