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nvidia.com/en-us/drivers/details/257337 Scam Check: 90/100 Trust | ScamMinder

Website: nvidia.com/en-us/drivers/details/257337

Screenshot of nvidia.com/en-us/drivers/details/257337

Safety Score

90/100
✓ Safe Website

This website appears legitimate based on AI analysis.

AI Analysis Results

Category: Technology
About this website:

Detailed Analysis Report: Is nvidia.com Safe and Legit? Website Overview and Purpose nvidia.com is the official website of NVIDIA Corporation, a well-known technology company specializing in graphics processing units (GPUs) and related products. The website serves as a platform for users to access information about NVIDIA's products, download drivers, and explore various services offered by the company. The primary purpose of the website is to provide support and resources for NVIDIA's hardware and software products, particularly in the gaming and professional graphics sectors. Content Quality and User Experience Key Experience Highlights Professional and well-designed website layout Comprehensive information about NVIDIA's products and services Regular updates on driver releases and software improvements Access to support resources and community forums Claims Verification and Red Flags ⚠️ Red Flags Detected No significant red flags detected. The website appears to be a legitimate platform for accessing NVIDIA's products and services. ⚠️ Caution Points Users should ensure they are downloading drivers and software directly from the official NVIDIA website to avoid potential security risks from third-party sources. Security Note: The website uses Amazon RSA 2048 M03 SSL for secure encrypted connections. Legitimacy and Reputation Assessment nvidia.com is a well-established domain with a long history, having been registered for over 32 years. The website is hosted on Amazon Web Services (AWS) infrastructure, which is a reputable and widely used cloud service provider. The SSL certificate is issued by Amazon, providing secure and encrypted communication between the user's device and the website. The website has a global presence, with content and services tailored for various regions around the world. The Tranco global rank of 401 indicates a high level of traffic and visibility, further supporting the legitimacy of the site. Overall, the domain age, hosting details, SSL certificate, and global reach all contribute to the credibility and trustworthiness of nvidia.com. Final Verdict and Recommendations Conclusion: nvidia.com is a safe and legitimate website. It is the official online presence of NVIDIA Corporation, a well-known and reputable technology company. Users can confidently visit the site to access information about NVIDIA's products, download drivers, and explore related services. As with any website, users should exercise caution when downloading software and ensure they are obtaining it directly from the official source. Overall, nvidia.com is a trusted platform for accessing NVIDIA's offerings and staying updated on the latest developments in the world of graphics processing and related technologies.

Risk Assessment: safe
📊 Analysis Reasons:
  • [DOMAIN HISTORY] Long-established domain with a history of over 32 years
  • [SECURITY] Hosted on Amazon Web Services (AWS) infrastructure
  • [SECURITY] SSL certificate issued by Amazon for secure communication
  • [REPUTATION] Global presence with tailored content and services for various regions
  • [REPUTATION] High Tranco global rank of 401 indicating significant traffic and visibility
  • [CONTENT QUALITY] Professional and well-designed website layout
  • [CONTENT QUALITY] Comprehensive information about NVIDIA's products and services
  • [DOMAIN HISTORY] Regular updates on driver releases and software improvements

Technical Details

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\n\t\t \t\n GeForce Game Ready Driver 581.57 | Windows 11\n\t\t\t\t\n\t \t

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Drivers Home > GeForce Game Ready Driver

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*This download includes the NVIDIA graphics driver and an option to additionally install the NVIDIA App. Details for use of the software can be found in the NVIDIA GeForce Software license and NVIDIA App License Agreement respectively.

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*This download includes the NVIDIA graphics driver and an option to additionally install the NVIDIA App. Details for use of the software can be found in the NVIDIA GeForce Software license and NVIDIA App License Agreement respectively.

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By clicking the \"Download\" button, you are confirming that you have read and agree to be bound by the License For Customer Use of NVIDIA Software for use of the driver. The driver will begin downloading immediately after clicking on the \"Download\" button. NVIDIA recommends users update to the latest driver version.

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Driver Version:581.57 | WHQL
WHQL Certified
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Windows Hardware Quality Labs testing or WHQL Testing is a testing process which involves running a series of tests on third-party (i.e. non-Microsoft) hardware or software, and then submitting the log files from these tests to Microsoft for review. The procedure may also include Microsoft running their own tests on a wide range of equipment, like different hardware and different Microsoft Windows editions.

Release Date:Tue Oct 14, 2025
Operating System:Windows 10 64-bit,
Windows 11
Language:English (US)
File Size:896.4 MB
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*This download includes the NVIDIA graphics driver and an option to additionally install the NVIDIA App. Details for use of the software can be found in the NVIDIA GeForce Software license and NVIDIA App License Agreement respectively.

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Testing if jQuery available
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The NVIDIA App is the essential companion for PC gamers and creators. Keep your PC up to date with the latest NVIDIA drivers and technology.

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\n\t\t \t\n Collaborate and Work With the NVIDIA App.\n\t\t\t\t\n\t \t

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Productivity doesn't end with organizing your workspace. With the new NVIDIA App, you get a full suite of GPU productivity tools in a single application to simplify time-consuming tasks. Get the most of your NVIDIA RTX professional graphics card.

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\tAlthough GeForce Game Ready Drivers and NVIDIA Studio Drivers can be installed on supported notebook GPUs, the original equipment manufacturer (OEM) provides certified drivers for your specific notebook on their website. NVIDIA recommends that you check with your notebook OEM for recommended software updates for your notebook.

Game Ready for ARC Raiders

This new Game Ready Driver provides the best gaming experience for the latest new games supporting DLSS 4 technology including ARC Raiders, Pax Dei, The Outer Worlds, 2, and Vampire: The Masquerade - Bloodlines 2.

Fixed Gaming Bugs
  • Steam overlay may cause game stability issues [5521892]
  • Hell is Us: Random red/green visual glitches during gameplay [5505371]
  • Black Myth: Wukong: Minor graphical glitch may randomly appear during gameplay after updating to R580 drivers [5453535]
  • Madden 26: Stability issues after updating to R580 drivers [5446236]
  • Games may crash if the installed game directory contains Chinese characters while Smooth Motion is enabled [5537563]
  • Total War: Warhammer III: Graphics corruption [5363634]
  • Delta Force: game stability issues when Smooth Motion is enabled [5540567]
  • Clair Obscur: Expedition 33: Display artifacts and stability issues when starting a game after waking PC from sleep [5467318]
  • Borderlands 4 corruption and stability issues [5497338]

Fixed General Bugs

  • Black screen on Alienware AW2524H monitor after changing display settings [5430236]
  • DxO Photolab 9: Stability issues when using the AI masks [5475130]

Learn more in our Game Ready Driver article here.

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GeForce RTX 50 Series (Notebooks)

NVIDIA GeForce RTX 5090 Laptop GPU, NVIDIA GeForce RTX 5080 Laptop GPU, NVIDIA GeForce RTX 5070 Ti Laptop GPU, NVIDIA GeForce RTX 5070 Laptop GPU, NVIDIA GeForce RTX 5060 Laptop GPU, NVIDIA GeForce RTX 5050 Laptop GPU

GeForce RTX 40 Series (Notebooks)

GeForce RTX 4090 Laptop GPU, GeForce RTX 4080 Laptop GPU, GeForce RTX 4070 Laptop GPU, GeForce RTX 4060 Laptop GPU, GeForce RTX 4050 Laptop GPU

GeForce RTX 30 Series (Notebooks)

GeForce RTX 3080 Ti Laptop GPU, GeForce RTX 3080 Laptop GPU, GeForce RTX 3070 Ti Laptop GPU, GeForce RTX 3070 Laptop GPU, GeForce RTX 3060 Laptop GPU, GeForce RTX 3050 Ti Laptop GPU, GeForce RTX 3050 Laptop GPU

GeForce RTX 20 Series (Notebooks)

GeForce RTX 2080 SUPER, GeForce RTX 2080, GeForce RTX 2070 SUPER, GeForce RTX 2070, GeForce RTX 2060, GeForce RTX 2050

GeForce MX500 Series (Notebooks)

GeForce MX570, GeForce MX550

GeForce MX400 Series (Notebooks)

GeForce MX450

GeForce MX300 Series (Notebooks)

GeForce MX350, GeForce MX330

GeForce MX200 Series (Notebooks)

GeForce MX250, GeForce MX230

GeForce MX100 Series (Notebook)

GeForce MX150, GeForce MX130, GeForce MX110

GeForce GTX 16 Series (Notebooks)

GeForce GTX 1660 Ti, GeForce GTX 1650 Ti, GeForce GTX 1650

GeForce 10 Series (Notebooks)

GeForce GTX 1080, GeForce GTX 1070, GeForce GTX 1060, GeForce GTX 1050 Ti, GeForce GTX 1050

GeForce 900M Series (Notebooks)

GeForce GTX 980, GeForce GTX 980M, GeForce GTX 970M, GeForce GTX 965M, GeForce GTX 960M, GeForce GTX 950M, GeForce 945M, GeForce 940MX, GeForce 930MX, GeForce 920MX, GeForce 940M, GeForce 930M

GeForce 800M Series (Notebooks)

GeForce GTX 860M, GeForce GTX 850M, GeForce 845M, GeForce 840M, GeForce 830M
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Effective October 2021, Game Ready Driver upgrades, including performance enhancements, new features, and bug fixes, will be available for systems utilizing Maxwell, Pascal, Turing, and Ampere-series GPUs. Critical security updates will be available on systems utilizing desktop Kepler-series GPUs through September 2024. A complete list of desktop Kepler-series GeForce GPUs can be found here.

Exceptions:
  1. Notebooks supporting Hybrid Power technology are not supported (NVIDIA Optimus technology is supported).
  2. The following Sony VAIO notebooks are included in the Verde notebook program: Sony VAIO F Series with NVIDIA GeForce 310M, GeForce GT 330M, GeForce GT 425M, GeForce GT 520M or GeForce GT 540M. Other Sony VAIO notebooks are not included (please contact Sony for driver support).
  3. Fujitsu notebooks are not included (Fujitsu Siemens notebooks are included).

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Something didn’t load correctly. Please return to the Drivers home by clicking the button below.

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Watch Now \n\nArtificial Intelligence\n\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises that compute power, tools, and algorithms their teams need to do their life's work.\n\n\n\n\nQuick Links\n\nArtificial Intelligence | Announcement\nJensen Huang Unveils Historic NVIDIA Partnership at APEC Summit\n\nSouth Korea is redefining its future with sovereign AI, supported by 260,000 NVIDIA Blackwell GPUs.\n\nArtificial Intelligence | Announcement\nNVIDIA and Nokia to Pioneer the AI Platform for 6G\n\nNokia uses NVIDIA platforms to build AI-RAN products. NVIDIA introduces Aerial RAN Computer Pro.\n\nArtificial Intelligence | Blog\nNVIDIA Open Sources Aerial Software to Accelerate AI-Native 6G\n\nThe NVIDIA Sionna Research Kit and Aerial Testbed software now run on the NVIDIA DGX Spark platform.\n\nAgentic AI / Generative AI | Blog\nBuild Specialized AI With Open Nemotron Models and Datasets\n\nDevelop agentic AI systems with models for visual understanding, information retrieval, and LLM safety.\n\nArtificial Intelligence | Announcement\nNVIDIA and US Telecom Leaders Unveil the All-American AI-RAN Stack\n\nBooz Allen, Cisco, MITRE, ODC, and T-Mobile showcase early 6G applications on the NVIDIA AI Aerial platform.\n\nGenerative AI | News\nNVIDIA Launches Open-Source AI Models and Datasets\n\nNew technologies to accelerate U.S. leadership in open research and development across AI.\n\nArtificial Intelligence | Video\nFireside Chat With Jensen Huang and George Kurian\n\nDiscover how NVIDIA and NetApp are revolutionizing data platforms for the age of AI reasoning. \n\nArtificial Intelligence | Announcement\nNVIDIA DGX Spark Arrives for World’s AI Developers\n\nNVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer.\n\nArtificial Intelligence | Podcast\nJensen Huang on the Future of Compute and the American Dream\n\nHear NVIDIA’s CEO, Brad Gerstner, and Clark Tang explore the rise of Al factories, sovereign Al, and the $100B partnership with OpenAl.\n\nAgentic AI / Generative AI | Blog\nBuild a Retrieval-Augmented Generation Agent With NVIDIA Nemotron\n\nLearn to create a custom AI agent with NVIDIA Nemotron™ in our new workshop.\n\nArtificial Intelligence | Contest\nPlug and Play: Project G-Assist Plug-in Hackathon for Home Control\n\nJoin NVIDIA’s Project G-Assist Plug-in Hackathon and build new AI tools for a chance to win prizes.\n\nDesign and Simulation\n\nNVIDIA RTX™ and NVIDIA Omniverse™ deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\n\n\n\n\nQuick Links\n\nSimulation | Announcement\nNVIDIA and U.S. Manufacturing Leaders Drive America’s Reindustrialization\n\nNext-generation factories are being built with intelligent robotics and physical AI to help overcome labor shortages and boost productivity.\n\nSimulation | Announcement\nNVIDIA and Partners Create Blueprint for Next-Generation AI Build-Outs\n\nThe NVIDIA Omniverse DSX Blueprint unites design, simulation, and operations across the AI factory software and hardware ecosystem.\n\nSimulation | Event\nPhysical AI and Robotics Day at NVIDIA GTC Washington, D.C.\n\nJoin us October 29 to explore how industrial digital twins are shaping the future of physical AI.\n\nLightwheel, Mentee Robotics, Universal Robots\n\nRobotics | Blog\nOpen-Source Physics Engine Advances Robot Learning\n\nThe Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows.\n\nSimulation | Blog\nBuild Giga-Scale AI Factories for AI Reasoning\n\nComing soon: an NVIDIA Omniverse Blueprint for creating high-performance, energy-efficient AI infrastructure.\n\nSiemens, Sight Machine\n\nSimulation | Blog\nHow Digital Twins Power Industrial and Physical AI\n\nIndustry leaders are developing digital twin solutions using NVIDIA Omniverse and OpenUSD to enable transformation with industrial and physical AI.\n\nRockwell Automation\n\nSimulation | Customer Story\nRockwell Automation Accelerates Industrial AI With Factory-Scale Simulation\n\nRockwell Automation's Emulate3D platform enables engineers to create, test, and optimize factory-scale digital twins throughout the entire design and commissioning process.\n\nSimulation | Resource\nNew Digital Twin Training Courses Now Available\n\nGet started with essential foundations in developing OpenUSD-based digital twin applications and workflows for the era of physical AI.\n\nSight Machine\n\nSimulation | Customer Story\nSight Machine Transforms Manufacturing With AI-Powered Digital Twins\n\nSight Machine is using real-time data, agentic AI, and physically accurate digital twins to optimize operations.\n\nHigh-Performance Computing\n\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\n\n\n\n\nQuick Links\n\nHPC | Announcement\nNVIDIA Announces NVQLink for Quantum-GPU Computing\n\nGPU-QPU interconnect for AI-quantum supercomputing at six national labs and industry leaders.\n\nHPC | Announcement\nNVIDIA Earth-2 Powers Next-Gen Extreme Weather Simulation\n\nMITRE turns sparse data into weather states for risk analysis with new framework.\n\nSynopsys, Ansys Fluent\n\nSimulation | Announcement\nNVIDIA AI Physics Transforms Aerospace and Automotive Design\n\nLeading technology companies in aerospace and automotive are accelerating their engineering design processes.\n\nHPC | Announcement\nNVIDIA and General Atomics Advance Commercial Fusion Energy\n\nNVIDIA and General Atomics, with international partners, build a fusion energy digital twin.\n\nRIKEN\n\nHPC | Announcement\nNVIDIA and Fujitsu to Power RIKEN’s Next Supercomputer\n\nJapan’s FugakuNEXT aims to tackle pressing scientific and societal challenges.\n\nDCAI\n\nHPC | Announcement\nNVIDIA and Ansys Advance Quantum Algorithms for Fluid Dynamics\n\nNVIDIA CUDA-Q running on the Gefion supercomputer enables new engineering applications for quantum computing. \n\nHPC | Blog\nNVL72 GB200 Powers the Future for Quantum Computing\n\nNVIDIA accelerates workloads spanning quantum computing research.\n\nResearch Centre Jülich / Sascha Kreklau\n\nHPC | Announcement\nNVIDIA Powers Europe’s Fastest Supercomputer\n\nNVIDIA Grace Hopper platform boosts simulation and training on the Jülich JUPITER supercomputer.\n\nHewlett Packard Enterprise\n\nHPC | Blog\nThe Blue Lion Supercomputer Will Run on NVIDIA Vera Rubin\n\nVera Rubin is built to change how science gets done—in real time and at massive scale.\n\nGaming and Creating\n\nNVIDIA GeForce RTX™ powers the world’s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\n\n\n\n\nQuick Links\n\nGaming Hardware | Product\nGeForce RTX™ 50 Series Graphics Cards and Desktops\n\nGeForce RTXTM graphics cards bring game-changing AI capabilities to gamers and creators. Multiply performance with NVIDIA DLSS 4, generate images at unprecedented speed, and unleash your creativity with NVIDIA Studio.\n\nGaming Hardware | Product\nGeForce RTX™ 50 Series Laptops\n\nThe world’s fastest laptops for gamers and creators. Multiply performance with NVIDIA DLSS 4, generate images at unprecedented speed, and unleash your creativity with NVIDIA Studio. All in the thinnest and longest lasting RTX laptops, optimized by Max-Q.\n\nGames | News\nRTX. It's On.\n\nDLSS 4 and NVIDIA Reflex available now.\n\nGaming Hardware | Product\nRaid Ready\n\nGet ARC Raiders With Select GeForce RTX 50 Series.*\n*Terms and conditions apply.\n\nGames | News\nRTX. It's On.\n\nDLSS 4, ray tracing, and NVIDIA Reflex available now.\n\nGames | News\nNVIDIA DLSS 4\n\n175+ games and apps available now. More on the way.\n\nCloud Gaming | Blog\nGFN Thursday\n\nSee what’s streaming this week on GeForce NOW.\n\nArtificial Intelligence | Product\nProject G-Assist\n\nProject G-Assist is an AI assistant powered by your GeForce RTX PC that helps you tune, control, and optimize your system, available now through NVIDIA app.\n\nGames | News\nRTX Remix\n\nPlay the RTX Remix contest mods now and get ready for an all-new particle system coming soon.\n\nArtificial Intelligence | Contest\nPlug and Play: Project G-Assist Plug-in Hackathon for Home Control\n\nJoin NVIDIA’s Project G-Assist Plug-in Hackathon and build new AI tools for a chance to win prizes.\n\nAutomotive\n\nFrom developing autonomous vehicles on NVIDIA DRIVE® to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\n\n\n\n\nQuick Links\n\nAutomotive | Announcement\nNVIDIA and Hyundai Motor Group Team to Power AI-Driven Mobility Solutions\n\nHMG will deploy NVIDIA Blackwell AI infrastructure to power breakthroughs in autonomous driving.\n\nAutomotive | Announcement\nNVIDIA and Uber Power the Largest Expansion of Level 4 Robotaxi Fleets\n\nStellantis, Lucid, Mercedes-Benz, Waabi, and Volvo Autonomous Solutions adopt NVIDIA DRIVE AV for level 4 deployment of autonomous vehicles.\n\nLucid\n\nAutomotive | Blog\nThe Future of AI-Defined Vehicles at IAA Mobility\n\nLearn how NVIDIA and partners like Mercedes‑Benz, Lucid, Volvo & XPENG are building AI‑defined cars.\n\nAutomotive | Event\nNVIDIA at IAA Mobility\n\nSee how generative AI, digital twins, and industrial AI are transforming the automotive industry. \n\nAutomotive | Announcement\nRedefining the Future of Autonomous Vehicle Development\n\nThe NVIDIA DRIVE AGX Thor™ Developer Kit is now available for pre-order.\n\nAutomotive | Blog\nNVIDIA Wins Second CVPR Autonomous Grand Challenge\n\nThe competition tests how AI generates safe, realistic self-driving behavior from sensor data.\n\nAutomotive | Announcement\nGM and NVIDIA Collaborate on AI for Next-Gen Vehicle Experience and Manufacturing\n\nThe largest U.S. automaker will build next-generation vehicle, factories and robots using AI, simulation and accelerated computing.\n\nAutomotive | Blog\nNVIDIA Launches Halos, a Full-Stack, Comprehensive Safety System for AVs\n\nA full-stack, comprehensive safety system that unifies vehicle architecture, AI models, chips, software, tools, and services to ensure the safe development of AVs, from cloud to car.\n\nAutomotive | Blog\nNVIDIA Expands Automotive Ecosystem to Bring Physical AI to the Streets\n\nGlobal automakers, mobility innovators, suppliers, and software providers team with NVIDIA to deliver AI from the cloud to the car.\n\nAutomotive | Blog\nNVIDIA Automotive at CES 2025\n\nGlobal transportation leaders showcase the latest innovations powered by NVIDIA.\n\nRobotics and Edge AI\n\nThe NVIDIA Jetson™ and Isaac™ platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\n\n\n\n\nQuick Links\n\nEdge Computing | Blog\nNVIDIA IGX Thor Brings Blackwell to New Edge AI Applications\n\nDiscover enhanced processing, AI reasoning, safety, and support for industrial, robotics, and medical applications.\n\nRobotics | Blog\nPowering the Future of Open-Source Robotics at ROSCon\n\nSee how NVIDIA is supporting the global ROS developer community with open-source software for generalist robots.\n\nRobotics | Event\nPhysical AI and Robotics Day at NVIDIA GTC Washington, D.C.\n\nJoin us October 29 to explore how robotics are shaping the future of physical AI.\n\nRobotics | Announcement\nNVIDIA Accelerates Robot Research and Development\n\nNVIDIA’s open models, simulation frameworks, libraries, and accelerated computing are shaping the future of robotics research.\n\nLightwheel, Mentee Robotics, Universal Robots\n\nRobotics | Blog\nOpen-Source Physics Engine Advances Robot Learning\n\nThe Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows.\n\nRobotics | Announcement\nThe Ultimate Platform for Physical AI and Robotics\n\nThe new NVIDIA® Jetson Thor™ Developer Kit and module are now available.\n\nAmazon Devices and Services\n\nRobotics | Blog\nAmazon Devices & Services Achieves Zero-Touch Manufacturing With NVIDIA\n\nThe company’s innovative manufacturing solution powers robotic arms to autonomously audit devices using NVIDIA technologies.\n\nRobotics | Blog\nNVIDIA Research Shapes Physical AI\n\nAI and graphics research breakthroughs in neural rendering, 3D generation, and world simulation power robotics, autonomous vehicles, and content creation.\n\nHexagon\n\nRobotics | Blog\nHexagon Taps NVIDIA Robotics and AI Software to Build New Humanoid\n\nAEON is engineered to capture real-world data to create digital twins of factories and more.\n\nRobotics | Announcement\nFoxconn, NVIDIA Accelerate Physical, Digital Robotics in Healthcare\n\nFoxconn is building smart hospital solutions using NVIDIA tech from the data center to the edge.\n\nData Center and Cloud Computing\n\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\n\n\n\n\nQuick Links\n\nData Center | Announcement\nSK Group Builds AI Factory for Digital Transformation\n\nThe SK Group AI factory will advance semiconductor research, development, production, and more.\n\nData Center | Announcement\nSamsung Builds NVIDIA-Powered AI Factory\n\nThe Samsung AI factory will accelerate breakthroughs across the company.\n\nData Center | Announcement\nNVIDIA, U.S. DOE, Oracle Build AI Systems for Scientific Discovery\n\nArgonne National Laboratory's AI systems will drive security, science, and energy missions.\n\nData Center | Announcement\nNVIDIA and Partners Build America’s AI Infrastructure\n\nNVIDIA is working with U.S. technology and industry leaders to power the next industrial revolution.\n\nData Center | Announcement\nNVIDIA Accelerates AI for Naval Postgraduate School\n\nLearn how NPS utilizes its NVIDIA DGXTM GB300 system to solve challenges in the public sector.\n\nData Center | Product\nNVIDIA DGX B300 is Shipping Now\n\nExplore the new features and capabilities, including AC and DC power options, that make DGX B300 easy to integrate into any data center.\n\nData Center | Announcement\nNVIDIA and Tech Leaders Unveil AI Factory Design to Modernize Government\n\nU.S. agencies and regulated industries can build and deploy full-stack AI that meets rigorous security standards.\n\nData Center | Announcement\nLilly Deploys Largest AI Factory for Drug Discovery\n\nDiscover how Lilly’s NVIDIA DGX SuperPODTM with DGX B300 systems will enable breakthroughs in healthcare. \n\nData Center | Announcement\nNVIDIA BlueField-4 Ignites the Gigascale AI Era\n\nThe processor for powering the operating system of AI factories.\n\nAbout NVIDIA\n\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\n\n\n\n\nQuick Links\n\nNVIDIA GTC | Event\nSee Jensen Huang's Keynote at GTC Washington, D.C.\n\nWatch the keynote replay to hear about groundbreaking innovations transforming every industry and application.\n\nNVIDIA GTC | Event\nGTC Live Washington, D.C.\n\nWatch the replay of the keynote pregame hosted by Patrick Moorhead (Moor Insights & Strategy), Brad Gerstner (Altimeter), and Kristina Partsinevelos (CNBC).\n\nKeynote | Event\nGTC Paris Keynote at VivaTech With Jensen Huang\n\nWatch the replay of NVIDIA CEO Jensen Huang’s GTC Paris keynote at VivaTech.\n\nArtificial Intelligence | Video\nBuilding Blocks of AI.\n\nSee how tokens transform data into intelligence, power AI models, scale inference, and drive next-gen systems that predict, generate, and adapt.\n\nCorporate | Blog\nOur Story\n\nNVIDIA is the result of the decades-long pursuit of a vision and the life’s work of our employees. Discover our company’s story.\n\nAccuray\n\nCompany | About\nLearn the NVIDIA Story\n\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what’s next.\n\nArtificial Intelligence | Blog\nSustainable Strides: AI and Accelerated Computing Drive Energy Efficiency\n\nLearn how companies, from finance to manufacturing and beyond, are on the way to sustainable AI with NVIDIA technologies.\n\nArtificial Intelligence | Blog\nSelf-Paced Career Development Courses in AI and Data Science\n\nIndustry experts share advice on starting a career in AI with technical training and certifications.\n\nRobotics | Blog\nHigh School Student Develops Robot Guide Dogs With NVIDIA Jetson\n\nSelin Alara Ornek is using machine learning and the NVIDIA Jetson™ platform for edge AI and robotics to create robot guide dogs for the visually impaired.\n\nCompany Information\nAbout Us\nCompany Overview\nInvestors\nVenture Capital (NVentures)\nNVIDIA Foundation\nResearch\nCorporate Sustainability\nTechnologies\nCareers\n \nNews and Events\nNewsroom\nCompany Blog\nTechnical Blog\nWebinars\nStay Informed\nEvents Calendar\nGTC AI Conference\nNVIDIA On-Demand\n \nPopular Links\nDevelopers\nPartners\nExecutive Insights\nStartups and VCs\nNVIDIA Connect for ISVs\nDocumentation\nTechnical Training\nProfessional Services for Data Science\nSign Up for NVIDIA News\nSubscribe\nFollow NVIDIA\nPrivacy Policy Your Privacy Choices Terms of Service Accessibility Corporate Policies Product Security Contact\nCopyright © 2025 NVIDIA Corporation","Skip to main content\nUS\nSign In\n\nData Center\n\nSouth Korea Builds AI Factories With NVIDIA to Power Progress\n\nKorea’s industry leaders and government to build AI factories that drive new innovation, jobs, and global leadership in advanced technology and manufacturing.\n\nRead Press Release\nRecommended\nArtificial Intelligence | Contest\n\nPlug and Play: Project G-Assist Plug-in Hackathon for Home Control\n\nArtificial Intelligence | Video\n\nBuilding Blocks of AI. \n\nRobotics | Blog\n\nAmazon Devices & Services Achieves Zero-Touch Manufacturing With NVIDIA\n\nRobotics | Event\n\nPhysical AI and Robotics Day at NVIDIA GTC Washington, D.C.\n\nRobotics | Blog\n\nOpen-Source Physics Engine Advances Robot Learning\n\nGames | News\n\nNVIDIA DLSS 4\n\nHPC | Blog\n\nNVL72 GB200 Powers the Future for Quantum Computing\n\nAutomotive | Blog\n\nNVIDIA Automotive at CES 2025\n\nNVIDIA GTC Washington, D.C. 2025 Keynote\n\nWatch the replay of the NVIDIA GTC Washington, D.C. keynote by CEO Jensen Huang and hear about groundbreaking innovations transforming every industry and application. Watch Now \n\nArtificial Intelligence\n\nAI is powering change in every industry. From generative AI and speech recognition to medical imaging and improved supply chain management, AI is providing enterprises that compute power, tools, and algorithms their teams need to do their life's work.\n\n\n\n\nQuick Links\n\nArtificial Intelligence | Announcement\nJensen Huang Unveils Historic NVIDIA Partnership at APEC Summit\n\nSouth Korea is redefining its future with sovereign AI, supported by 260,000 NVIDIA Blackwell GPUs.\n\nArtificial Intelligence | Announcement\nNVIDIA and Nokia to Pioneer the AI Platform for 6G\n\nNokia uses NVIDIA platforms to build AI-RAN products. NVIDIA introduces Aerial RAN Computer Pro.\n\nArtificial Intelligence | Blog\nNVIDIA Open Sources Aerial Software to Accelerate AI-Native 6G\n\nThe NVIDIA Sionna Research Kit and Aerial Testbed software now run on the NVIDIA DGX Spark platform.\n\nAgentic AI / Generative AI | Blog\nBuild Specialized AI With Open Nemotron Models and Datasets\n\nDevelop agentic AI systems with models for visual understanding, information retrieval, and LLM safety.\n\nArtificial Intelligence | Announcement\nNVIDIA and US Telecom Leaders Unveil the All-American AI-RAN Stack\n\nBooz Allen, Cisco, MITRE, ODC, and T-Mobile showcase early 6G applications on the NVIDIA AI Aerial platform.\n\nGenerative AI | News\nNVIDIA Launches Open-Source AI Models and Datasets\n\nNew technologies to accelerate U.S. leadership in open research and development across AI.\n\nArtificial Intelligence | Video\nFireside Chat With Jensen Huang and George Kurian\n\nDiscover how NVIDIA and NetApp are revolutionizing data platforms for the age of AI reasoning. \n\nArtificial Intelligence | Announcement\nNVIDIA DGX Spark Arrives for World’s AI Developers\n\nNVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer.\n\nArtificial Intelligence | Podcast\nJensen Huang on the Future of Compute and the American Dream\n\nHear NVIDIA’s CEO, Brad Gerstner, and Clark Tang explore the rise of Al factories, sovereign Al, and the $100B partnership with OpenAl.\n\nAgentic AI / Generative AI | Blog\nBuild a Retrieval-Augmented Generation Agent With NVIDIA Nemotron\n\nLearn to create a custom AI agent with NVIDIA Nemotron™ in our new workshop.\n\nArtificial Intelligence | Contest\nPlug and Play: Project G-Assist Plug-in Hackathon for Home Control\n\nJoin NVIDIA’s Project G-Assist Plug-in Hackathon and build new AI tools for a chance to win prizes.\n\nDesign and Simulation\n\nNVIDIA RTX™ and NVIDIA Omniverse™ deliver the performance to help professionals, creators, developers, and students worldwide enhance creative workflows and build, operate, and connect metaverse applications.\n\n\n\n\nQuick Links\n\nSimulation | Announcement\nNVIDIA and U.S. Manufacturing Leaders Drive America’s Reindustrialization\n\nNext-generation factories are being built with intelligent robotics and physical AI to help overcome labor shortages and boost productivity.\n\nSimulation | Announcement\nNVIDIA and Partners Create Blueprint for Next-Generation AI Build-Outs\n\nThe NVIDIA Omniverse DSX Blueprint unites design, simulation, and operations across the AI factory software and hardware ecosystem.\n\nSimulation | Event\nPhysical AI and Robotics Day at NVIDIA GTC Washington, D.C.\n\nJoin us October 29 to explore how industrial digital twins are shaping the future of physical AI.\n\nLightwheel, Mentee Robotics, Universal Robots\n\nRobotics | Blog\nOpen-Source Physics Engine Advances Robot Learning\n\nThe Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows.\n\nSimulation | Blog\nBuild Giga-Scale AI Factories for AI Reasoning\n\nComing soon: an NVIDIA Omniverse Blueprint for creating high-performance, energy-efficient AI infrastructure.\n\nSiemens, Sight Machine\n\nSimulation | Blog\nHow Digital Twins Power Industrial and Physical AI\n\nIndustry leaders are developing digital twin solutions using NVIDIA Omniverse and OpenUSD to enable transformation with industrial and physical AI.\n\nRockwell Automation\n\nSimulation | Customer Story\nRockwell Automation Accelerates Industrial AI With Factory-Scale Simulation\n\nRockwell Automation's Emulate3D platform enables engineers to create, test, and optimize factory-scale digital twins throughout the entire design and commissioning process.\n\nSimulation | Resource\nNew Digital Twin Training Courses Now Available\n\nGet started with essential foundations in developing OpenUSD-based digital twin applications and workflows for the era of physical AI.\n\nSight Machine\n\nSimulation | Customer Story\nSight Machine Transforms Manufacturing With AI-Powered Digital Twins\n\nSight Machine is using real-time data, agentic AI, and physically accurate digital twins to optimize operations.\n\nHigh-Performance Computing\n\nHigh-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. HPC is one of the most essential tools fueling the advancement of computational science.\n\n\n\n\nQuick Links\n\nHPC | Announcement\nNVIDIA Announces NVQLink for Quantum-GPU Computing\n\nGPU-QPU interconnect for AI-quantum supercomputing at six national labs and industry leaders.\n\nHPC | Announcement\nNVIDIA Earth-2 Powers Next-Gen Extreme Weather Simulation\n\nMITRE turns sparse data into weather states for risk analysis with new framework.\n\nSynopsys, Ansys Fluent\n\nSimulation | Announcement\nNVIDIA AI Physics Transforms Aerospace and Automotive Design\n\nLeading technology companies in aerospace and automotive are accelerating their engineering design processes.\n\nHPC | Announcement\nNVIDIA and General Atomics Advance Commercial Fusion Energy\n\nNVIDIA and General Atomics, with international partners, build a fusion energy digital twin.\n\nRIKEN\n\nHPC | Announcement\nNVIDIA and Fujitsu to Power RIKEN’s Next Supercomputer\n\nJapan’s FugakuNEXT aims to tackle pressing scientific and societal challenges.\n\nDCAI\n\nHPC | Announcement\nNVIDIA and Ansys Advance Quantum Algorithms for Fluid Dynamics\n\nNVIDIA CUDA-Q running on the Gefion supercomputer enables new engineering applications for quantum computing. \n\nHPC | Blog\nNVL72 GB200 Powers the Future for Quantum Computing\n\nNVIDIA accelerates workloads spanning quantum computing research.\n\nResearch Centre Jülich / Sascha Kreklau\n\nHPC | Announcement\nNVIDIA Powers Europe’s Fastest Supercomputer\n\nNVIDIA Grace Hopper platform boosts simulation and training on the Jülich JUPITER supercomputer.\n\nHewlett Packard Enterprise\n\nHPC | Blog\nThe Blue Lion Supercomputer Will Run on NVIDIA Vera Rubin\n\nVera Rubin is built to change how science gets done—in real time and at massive scale.\n\nGaming and Creating\n\nNVIDIA GeForce RTX™ powers the world’s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, on your desktop, laptop, in the cloud, or in your living room.\n\n\n\n\nQuick Links\n\nGaming Hardware | Product\nGeForce RTX™ 50 Series Graphics Cards and Desktops\n\nGeForce RTXTM graphics cards bring game-changing AI capabilities to gamers and creators. Multiply performance with NVIDIA DLSS 4, generate images at unprecedented speed, and unleash your creativity with NVIDIA Studio.\n\nGaming Hardware | Product\nGeForce RTX™ 50 Series Laptops\n\nThe world’s fastest laptops for gamers and creators. Multiply performance with NVIDIA DLSS 4, generate images at unprecedented speed, and unleash your creativity with NVIDIA Studio. All in the thinnest and longest lasting RTX laptops, optimized by Max-Q.\n\nGames | News\nRTX. It's On.\n\nDLSS 4 and NVIDIA Reflex available now.\n\nGaming Hardware | Product\nRaid Ready\n\nGet ARC Raiders With Select GeForce RTX 50 Series.*\n*Terms and conditions apply.\n\nGames | News\nRTX. It's On.\n\nDLSS 4, ray tracing, and NVIDIA Reflex available now.\n\nGames | News\nNVIDIA DLSS 4\n\n175+ games and apps available now. More on the way.\n\nCloud Gaming | Blog\nGFN Thursday\n\nSee what’s streaming this week on GeForce NOW.\n\nArtificial Intelligence | Product\nProject G-Assist\n\nProject G-Assist is an AI assistant powered by your GeForce RTX PC that helps you tune, control, and optimize your system, available now through NVIDIA app.\n\nGames | News\nRTX Remix\n\nPlay the RTX Remix contest mods now and get ready for an all-new particle system coming soon.\n\nArtificial Intelligence | Contest\nPlug and Play: Project G-Assist Plug-in Hackathon for Home Control\n\nJoin NVIDIA’s Project G-Assist Plug-in Hackathon and build new AI tools for a chance to win prizes.\n\nAutomotive\n\nFrom developing autonomous vehicles on NVIDIA DRIVE® to creating factory digital twins and retail experiences with NVIDIA Omniverse, our automotive solutions offer the performance and scalability to design, visualize, simulate, and create all types of future transportation.\n\n\n\n\nQuick Links\n\nAutomotive | Announcement\nNVIDIA and Hyundai Motor Group Team to Power AI-Driven Mobility Solutions\n\nHMG will deploy NVIDIA Blackwell AI infrastructure to power breakthroughs in autonomous driving.\n\nAutomotive | Announcement\nNVIDIA and Uber Power the Largest Expansion of Level 4 Robotaxi Fleets\n\nStellantis, Lucid, Mercedes-Benz, Waabi, and Volvo Autonomous Solutions adopt NVIDIA DRIVE AV for level 4 deployment of autonomous vehicles.\n\nLucid\n\nAutomotive | Blog\nThe Future of AI-Defined Vehicles at IAA Mobility\n\nLearn how NVIDIA and partners like Mercedes‑Benz, Lucid, Volvo & XPENG are building AI‑defined cars.\n\nAutomotive | Event\nNVIDIA at IAA Mobility\n\nSee how generative AI, digital twins, and industrial AI are transforming the automotive industry. \n\nAutomotive | Announcement\nRedefining the Future of Autonomous Vehicle Development\n\nThe NVIDIA DRIVE AGX Thor™ Developer Kit is now available for pre-order.\n\nAutomotive | Blog\nNVIDIA Wins Second CVPR Autonomous Grand Challenge\n\nThe competition tests how AI generates safe, realistic self-driving behavior from sensor data.\n\nAutomotive | Announcement\nGM and NVIDIA Collaborate on AI for Next-Gen Vehicle Experience and Manufacturing\n\nThe largest U.S. automaker will build next-generation vehicle, factories and robots using AI, simulation and accelerated computing.\n\nAutomotive | Blog\nNVIDIA Launches Halos, a Full-Stack, Comprehensive Safety System for AVs\n\nA full-stack, comprehensive safety system that unifies vehicle architecture, AI models, chips, software, tools, and services to ensure the safe development of AVs, from cloud to car.\n\nAutomotive | Blog\nNVIDIA Expands Automotive Ecosystem to Bring Physical AI to the Streets\n\nGlobal automakers, mobility innovators, suppliers, and software providers team with NVIDIA to deliver AI from the cloud to the car.\n\nAutomotive | Blog\nNVIDIA Automotive at CES 2025\n\nGlobal transportation leaders showcase the latest innovations powered by NVIDIA.\n\nRobotics and Edge AI\n\nThe NVIDIA Jetson™ and Isaac™ platforms provide end-to-end solutions to develop and deploy AI-powered autonomous machines and edge computing applications across manufacturing, logistics, healthcare, smart cities, and retail.\n\n\n\n\nQuick Links\n\nEdge Computing | Blog\nNVIDIA IGX Thor Brings Blackwell to New Edge AI Applications\n\nDiscover enhanced processing, AI reasoning, safety, and support for industrial, robotics, and medical applications.\n\nRobotics | Blog\nPowering the Future of Open-Source Robotics at ROSCon\n\nSee how NVIDIA is supporting the global ROS developer community with open-source software for generalist robots.\n\nRobotics | Event\nPhysical AI and Robotics Day at NVIDIA GTC Washington, D.C.\n\nJoin us October 29 to explore how robotics are shaping the future of physical AI.\n\nRobotics | Announcement\nNVIDIA Accelerates Robot Research and Development\n\nNVIDIA’s open models, simulation frameworks, libraries, and accelerated computing are shaping the future of robotics research.\n\nLightwheel, Mentee Robotics, Universal Robots\n\nRobotics | Blog\nOpen-Source Physics Engine Advances Robot Learning\n\nThe Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows.\n\nRobotics | Announcement\nThe Ultimate Platform for Physical AI and Robotics\n\nThe new NVIDIA® Jetson Thor™ Developer Kit and module are now available.\n\nAmazon Devices and Services\n\nRobotics | Blog\nAmazon Devices & Services Achieves Zero-Touch Manufacturing With NVIDIA\n\nThe company’s innovative manufacturing solution powers robotic arms to autonomously audit devices using NVIDIA technologies.\n\nRobotics | Blog\nNVIDIA Research Shapes Physical AI\n\nAI and graphics research breakthroughs in neural rendering, 3D generation, and world simulation power robotics, autonomous vehicles, and content creation.\n\nHexagon\n\nRobotics | Blog\nHexagon Taps NVIDIA Robotics and AI Software to Build New Humanoid\n\nAEON is engineered to capture real-world data to create digital twins of factories and more.\n\nRobotics | Announcement\nFoxconn, NVIDIA Accelerate Physical, Digital Robotics in Healthcare\n\nFoxconn is building smart hospital solutions using NVIDIA tech from the data center to the edge.\n\nData Center and Cloud Computing\n\nFrom the cloud to the office to the data center to the edge, NVIDIA provides solutions that deliver breakthrough performance on enterprise AI and HPC workloads at any scale, driving business decisions in real time and resulting in faster time to value.\n\n\n\n\nQuick Links\n\nData Center | Announcement\nSK Group Builds AI Factory for Digital Transformation\n\nThe SK Group AI factory will advance semiconductor research, development, production, and more.\n\nData Center | Announcement\nSamsung Builds NVIDIA-Powered AI Factory\n\nThe Samsung AI factory will accelerate breakthroughs across the company.\n\nData Center | Announcement\nNVIDIA, U.S. DOE, Oracle Build AI Systems for Scientific Discovery\n\nArgonne National Laboratory's AI systems will drive security, science, and energy missions.\n\nData Center | Announcement\nNVIDIA and Partners Build America’s AI Infrastructure\n\nNVIDIA is working with U.S. technology and industry leaders to power the next industrial revolution.\n\nData Center | Announcement\nNVIDIA Accelerates AI for Naval Postgraduate School\n\nLearn how NPS utilizes its NVIDIA DGXTM GB300 system to solve challenges in the public sector.\n\nData Center | Product\nNVIDIA DGX B300 is Shipping Now\n\nExplore the new features and capabilities, including AC and DC power options, that make DGX B300 easy to integrate into any data center.\n\nData Center | Announcement\nNVIDIA and Tech Leaders Unveil AI Factory Design to Modernize Government\n\nU.S. agencies and regulated industries can build and deploy full-stack AI that meets rigorous security standards.\n\nData Center | Announcement\nLilly Deploys Largest AI Factory for Drug Discovery\n\nDiscover how Lilly’s NVIDIA DGX SuperPODTM with DGX B300 systems will enable breakthroughs in healthcare. \n\nData Center | Announcement\nNVIDIA BlueField-4 Ignites the Gigascale AI Era\n\nThe processor for powering the operating system of AI factories.\n\nAbout NVIDIA\n\nNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.\n\n\n\n\nQuick Links\n\nNVIDIA GTC | Event\nSee Jensen Huang's Keynote at GTC Washington, D.C.\n\nWatch the keynote replay to hear about groundbreaking innovations transforming every industry and application.\n\nNVIDIA GTC | Event\nGTC Live Washington, D.C.\n\nWatch the replay of the keynote pregame hosted by Patrick Moorhead (Moor Insights & Strategy), Brad Gerstner (Altimeter), and Kristina Partsinevelos (CNBC).\n\nKeynote | Event\nGTC Paris Keynote at VivaTech With Jensen Huang\n\nWatch the replay of NVIDIA CEO Jensen Huang’s GTC Paris keynote at VivaTech.\n\nArtificial Intelligence | Video\nBuilding Blocks of AI.\n\nSee how tokens transform data into intelligence, power AI models, scale inference, and drive next-gen systems that predict, generate, and adapt.\n\nCorporate | Blog\nOur Story\n\nNVIDIA is the result of the decades-long pursuit of a vision and the life’s work of our employees. Discover our company’s story.\n\nAccuray\n\nCompany | About\nLearn the NVIDIA Story\n\nOur work is truly unique. Part science. Part art. Every breakthrough helps shape what’s next.\n\nArtificial Intelligence | Blog\nSustainable Strides: AI and Accelerated Computing Drive Energy Efficiency\n\nLearn how companies, from finance to manufacturing and beyond, are on the way to sustainable AI with NVIDIA technologies.\n\nArtificial Intelligence | Blog\nSelf-Paced Career Development Courses in AI and Data Science\n\nIndustry experts share advice on starting a career in AI with technical training and certifications.\n\nRobotics | Blog\nHigh School Student Develops Robot Guide Dogs With NVIDIA Jetson\n\nSelin Alara Ornek is using machine learning and the NVIDIA Jetson™ platform for edge AI and robotics to create robot guide dogs for the visually impaired.\n\nCompany Information\nAbout Us\nCompany Overview\nInvestors\nVenture Capital (NVentures)\nNVIDIA Foundation\nResearch\nCorporate Sustainability\nTechnologies\nCareers\n \nNews and Events\nNewsroom\nCompany Blog\nTechnical Blog\nWebinars\nStay Informed\nEvents Calendar\nGTC AI Conference\nNVIDIA On-Demand\n \nPopular Links\nDevelopers\nPartners\nExecutive Insights\nStartups and VCs\nNVIDIA Connect for ISVs\nDocumentation\nTechnical Training\nProfessional Services for Data Science\nSign Up for NVIDIA News\nSubscribe\nFollow NVIDIA\nPrivacy Policy Your Privacy Choices Terms of Service Accessibility Corporate Policies Product Security Contact\nCopyright © 2025 NVIDIA Corporation","Skip to main content\nUS\nHealth and Life Sciences\nAccelerating Drug Discovery Pipelines With AI\nProduct Portfolio\nAdditional Technologies\nGet Started\nFAQs\nAI Tools for Every Scientist in Drug Discovery\nNVIDIA Clara\nBuild With Open-Source AI Models\n\nClara is a family of open-source AI foundation models, tools, and recipes for biomedical research. Clara includes AI foundation models for omics, protein and molecule structures, imaging, 3D anatomy, surgical robotics, and digital twins for physics-informed simulations. They are built using leading open clinical, imaging, and biological datasets. \n\nClara integrates directly with NVIDIA’s AI software stack. It’s complete with pretrained checkpoints and novel model architectures, training recipes, curated open datasets and tooling, and unified benchmarking and evaluation frameworks.\n\nView Open-Source Models on GitHub \nNVIDIA BioNeMo Framework\nScale AI Models With BioNeMo Framework\n\nBioNeMo Framework is an open-source machine learning framework for building and training deep learning models for biopharma.\n\nBy accelerating the most expensive and prolonged aspects of AI model development, AI model builders doing biomolecular research with DNA, RNA, and protein data can access tools to scale their research to new heights.\n\nThe platform includes curated training recipes, data loaders, and pre-trained, optimized example AI model architectures that are domain-specific and accelerated for the best performance, making AI model building faster and simpler.\n\nMore Details on BioNeMo Framework\nNVIDIA AI Blueprints\nBuild Generative AI Applications for Drug Discovery with Pre-Trained AI Workflows\n\nNVIDIA BioNeMo Blueprints are pretrained reference workflows designed for generative AI applications in drug discovery, offering biopharma teams a foundation to accelerate research and innovation.\n\nFor organizations in biopharma looking to integrate AI, these blueprints include reference code, tools, and comprehensive documentation to customize and deploy workflows tailored to proprietary data and unique therapeutic pipelines.\n\nThese resultant data flywheels enhance model performance over time, driving deeper insights and accelerating discovery. BioNeMo Blueprints enable biopharma to streamline innovation and unlock the potential of AI in drug development.\n\nTest Drive an AI Workflow With AI Blueprints\nNVIDIA NIM Microservices\nOptimized AI Inference for Scalable Drug Discovery Applications\n\nNVIDIA BioNeMo NIM™ includes a set of optimized, easy-to-use AI microservices built to enable gigascale inference and enable new capabilities in drug design.\n\nBuilt for computational drug discovery platform developers and data scientists, NIM microservices are constructed as containers with everything needed for the most efficient, portable deployment available for easy API integration into enterprise-grade AI applications.\n\nNIM microservices increase the efficiency and innovation of drug discovery workflows while decreasing the total cost of ownership and time to market for your AI-driven discoveries.\n\nTest Drive AI Models With NIM\nNVIDIA CUDA-X for Biopharma\nGPU-Accelerated Building Blocks for Molecular AI\n\nNVIDIA CUDA-X™ libraries deliver drop-in code modules that accelerate the most compute-intensive layers inside today’s biomolecular AI models so researchers can innovate faster.\n\ncuEquivariance is an NVIDIA Python library designed to facilitate the construction of high-performance equivariant neural networks using segmented tensor products. cuEquivariance now also has optimized kernels for triangle attention and triangle multiplication for modeling pairwise interactions in protein structure prediction (e.g., AlphaFold-style architectures)\n\nWith one-line code changes and out-of-the-box integrations through PyTorch and Jax bindings, swapping out the most expensive steps in your workflow with CUDA®-optimized kernels is easier than ever.\n\nSee how cuEquivariance can unlock new performance levels in your protein-structure, generative-chemistry, and molecular-dynamics models.\n\nGet Started With CUDA-X Libraries \nAdditional Technologies\nNVIDIA DGX Cloud\n\nDGX™ Cloud is a cloud-based AI platform that provides computing clusters for corporations with demanding AI needs. It’s designed to help businesses develop AI quickly and efficiently.\n\n\n\nLearn More About DGX Cloud\nNVIDIA AI Enterprise\n\nNVIDIA AI Enterprise is a software platform that helps businesses use AI to develop and deploy applications. It can be used in the cloud, data centers, and on workstations.\n\n\n\nLearn More About AI Enterprise\nGet Started\nDocumentation\n\nFind a collection of documents, guides, manuals, how-tos, and more in the NVIDIA BioNeMo Documentation Hub.\n\nBioNemo NIM \nBioNeMo Framework\nProduct Updates\n\nGet notified of new releases, bug fixes, critical security updates, and more for biopharma.\n\nSubscribe\nContact Us\n\nGot questions? Our healthcare experts are here to assist you!\n\nContact Us\nFAQ\nWhat is NVIDIA BioNeMo?\n\nNVIDIA BioNeMo is an AI platform designed to scale AI development and deployment in the fields of chemistry and biology. It provides drug discovery researchers and developers a fast and easy way to build and integrate state-of-the-art generative AI applications across the entire drug discovery pipeline, from target identification to lead optimization. The platform offers workflows for 3D protein structure prediction, de novo design, virtual screening, docking, and property prediction.\n\nBioNeMo is a continuously evolving platform for digital biology, providing access to the latest accelerated libraries and foundation models for generative AI. Researchers and developers can easily adopt and adapt libraries and models in the open-source BioNeMo Framework, and quickly deploy accelerated workflows with BioNeMo NIM microservices and blueprints.\n\nWhat is the difference between NVIDIA BioNeMo Framework and NVIDIA NIM microservices?\nNVIDIA BioNeMo Framework is a collection of programming tools and libraries that streamline the building of biomolecular AI models, accelerating the most time-consuming and costly stages of computational drug discovery.\nNVIDIA NIM microservices are a set of optimized, easy-to-use, portable microservices designed for biomolecular scientists in drug discovery needing secure, reliable AI model inferencing.\nWhere are NVIDIA BioNeMo Framework and pretrained models available?\n\nNVIDIA BioNeMo Framework: Users can access BioNeMo Framework in two ways. NVIDIA’s offering for enterprise-grade use of BioNeMo with an NVIDIA AI Enterprise license offers the BioNeMo container via the NVIDIA GPU Cloud, which provides enterprise developers and researchers with a secure, scalable toolchain to build biomolecular workflows. The open-source version of BioNeMo that researchers and data scientists use is available for installation from GitHub, including all of its components.\n\nPretrained models: BioNeMo Framework offers BioNeMo recipes that show example implementation of Transformer Engine-compatible architecture and also provides for easy testing and fine-tuning. Users are encouraged to extend their own implementations using BioNeMo recipes as tutorials.\n\nBioNeMo NIM microservices offer various optimized checkpoints such as Evo2 (genomic generative AI), GenMol (molecule generation), DiffDock (docking), and others, each supporting their respective biomolecular tasks.\n\nWhat are the system requirements and licensing terms for NVIDIA BioNeMo?\n\nSee the latest list of system requirements for BioNeMo Framework on the NGC Catalog Container page.\n\nSee the latest system requirements for NIM microservices at NVIDIA API Documentation.\n\nBioNeMo Framework code is licensed under Apache 2.0, while the official NGC containers are governed by the NVIDIA  AI Product Agreement (and can be covered by an NVIDIA AI Enterprise license for commercial use).\n\nHow does NVIDIA BioNeMo integrate into existing drug discovery workflows?\n\nNVIDIA BioNeMo exposes its models through libraries, APIs, and containerized NIM microservices, allowing teams to call structure‑prediction, generative‑chemistry, and other functions directly from their established drug‑discovery pipelines.\n\nHow do I fine-tune an existing model or contribute code to BioNeMo?\n\nLaunch the BioNeMo Framework container or clone the GitHub repository, point a YAML config to your data, add a restore_from_path (or equivalent) to load existing weights, and run the provided training script to pretrain or fine‑tune a model.\n\nBecause BioNeMo Framework is hosted openly on GitHub, developers can fork the repository and submit pull requests under the “CONTRIBUTING” guidelines of the repository documentation to add new code.\n\nWhat if I have additional questions or need support?\n\nPlease contact us with your question.  \n\nAdditionally, users can access documentation, tutorials, and an active developer forum via the BioNeMo Resources Hub, while enterprise customers may open support tickets through NVIDIA AI Enterprise.\n\nCompany Information\nAbout Us\nCompany Overview\nInvestors\nVenture Capital (NVentures)\nNVIDIA Foundation\nResearch\nCorporate Sustainability\nTechnologies\nCareers\n \nNews and Events\nNewsroom\nCompany Blog\nTechnical Blog\nWebinars\nStay Informed\nEvents Calendar\nGTC AI Conference\nNVIDIA On-Demand\n \nPopular Links\nDevelopers\nPartners\nExecutive Insights\nStartups and VCs\nNVIDIA Connect for ISVs\nDocumentation\nTechnical Training\nProfessional Services for Data Science\nFollow NVIDIA\nPrivacy Policy Your Privacy Choices Terms of Service Accessibility Corporate Policies Product Security Contact\nCopyright © 2025 NVIDIA Corporation"]}},"webrisk":{"overall_risk":"unknown","threats":[],"malware":false,"social_engineering":false,"unwanted_software":false,"error":"Request failed with status code 400"},"metadata":{"preflight":{"bestUrl":"https://nvidia.com","probes":[{"url":"https://nvidia.com","ok":true,"status":200},{"url":"https://www.nvidia.com","ok":true,"status":200},{"url":"http://nvidia.com","ok":true,"status":200}]},"best_url":"https://nvidia.com","phase_a_duration_ms":4008,"phase_b_duration_ms":23630,"early_exit_reason":null},"virustotal":{"malicious":0,"suspicious":0,"total":98,"scanned":true}},"reviews":[],"has_archive":false,"archive_data":null,"archive_stats":null}};