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Year: 2024

The Creative AI: NVIDIA Studio Unveils New RTX- and AI-Accelerated Tools and Systems for Creators

Go ‘In the NVIDIA Studio’ with new Studio Laptops and GeForce RTX SUPER GPUs, iStock generative AI, RTX Video HDR and Twitch Multi-Encode.
January 8, 2024 by
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Editor’s note: As of June 6, 2025, NVIDIA Edify is no longer available as an NVIDIA NIM microservice preview. To explore available visual AI models, visit build.nvidia.com.

NVIDIA Studio is debuting at CES powerful new software and hardware upgrades to elevate content creation.

It brings the release of powerful NVIDIA Studio laptops and desktops from Acer, ASUS, Dell, HP, Lenovo, MSI and Samsung, as well as the launch of the new GeForce RTX 40 SUPER Series GPUs — including the GeForce RTX 4080 SUPER, GeForce RTX 4070 Ti SUPER and GeForce RTX 4070 SUPER — to supercharge creating, gaming and AI tasks.

Generative AI by iStock from Getty Images is a new generative AI tool trained by NVIDIA Picasso that uses licensed artwork and the NVIDIA Edify architecture model to ensure that generated assets are commercially safe.

RTX Video HDR coming Jan. 24 transforms standard dynamic range video playing in internet browsers into stunning high dynamic range (HDR). By pairing it with RTX Video Super Resolution, NVIDIA RTX and GeForce RTX GPU owners can achieve dramatic video quality improvements on their HDR10 displays.

Twitch, OBS and NVIDIA are enhancing livestreaming technology with the new Twitch Enhanced Broadcasting beta, powered by GeForce RTX GPUs. Available later this month, the beta will enable users to stream multiple encodes concurrently, providing optimal viewing experiences for a broad range of device types and connections.

And NVIDIA RTX Remix — a free modding platform for quickly remastering classic games with RTX — releases in open beta later this month. It provides full ray tracing, NVIDIA DLSS, NVIDIA Reflex and generative AI texture tools.

This week’s In the NVIDIA Studio installment also features NVIDIA artists Ashlee Martino-Tarr, a 3D content specialist, and Daniela Flamm Jackson, a technical product marketer, who transform 2D illustrations into dynamic 3D scenes using AI and Adobe Firefly — powered by NVIDIA in the cloud and natively with GeForce RTX GPUs.

New Year, New NVIDIA Studio Laptops

The new NVIDIA Studio laptops and desktops level up power and efficiency with exclusive software like Studio Drivers preinstalled — enhancing creative features, reducing time-consuming tasks and speeding workflows.

The Acer Predator Triton Neo 16 features several 16-inch screen options with up to a 3.2K resolution at a 165Hz refresh rate and 16:10 aspect ratio. It provides DCI-P3 100% color gamut and support for NVIDIA Optimus and NVIDIA G-SYNC technology for sharp color hues and tear-free frames. It’s expected to be released in March.

The Acer Predator Triton Neo 16, with up to the GeForce RTX 4070 Laptop GPU.

The ASUS ROG Zephryus G14 features a Nebula Display with a OLED panel and a G-SYNC OLED display running at 240Hz. It’s expected to release on Feb. 6.

The ASUS ROG Zephryus G14 with up to the GeForce RTX 4070 Laptop GPU.

The XPS 16 is Dell’s most powerful laptop featuring a large 16.3” InfinityEdge display, available with a 4K+ OLED touch display, true-to-life color delivering up to 80W of sustained performance, all with tone-on-tone finishes for an elegant, minimalistic design. Stay tuned for an update on release timing.

Dell’s XPS 16 with up to the GeForce RTX 4070 Laptop GPU.

Lenovo’s Yoga Pro 9i sports a 16-inch 3.2K PureSight Pro display, delivering a grid of over 1,600 mini-LED dimming zones, expertly calibrated colors accurate to Delta E< 1 and up to 165Hz. With Microsoft’s Auto Color Management feature, its display toggles automatically between 100% P3, 100% sRGB and 100% Adobe RGB color to ensure the highest-quality color. It’s expected to be released in April.

Lenovo Yoga Pro 9i with up to the GeForce RTX 4070 Laptop GPU.

HP’s OMEN 14 Transcend features a 14-inch 4K OLED WQXGA screen, micro-edge, edge-to-edge glass and 100% DCI-P3 with a 240Hz refresh rate. NVIDIA DLSS 3 technology helps unlock more efficient content creation and gaming sessions using only one-third of the expected battery power. It’s targeting a Jan. 19 release.

HP’s OMEN 14 Transcend with up to GeForce RTX 4070 Laptop GPU.

Samsung’s Galaxy Book4 Ultra includes an upgraded Dynamic AMOLED 2X display for high contrast and vivid color, as well as a convenient touchscreen. Its Vision Booster feature uses an Intelligent Outdoor Algorithm to automatically enhance visibility and color reproduction in bright conditions.

Samsung’s Galaxy Book4 Ultra with up to the GeForce RTX 4070 Laptop GPU.

Check back for more information on the new line of Studio systems, including updates to release dates.

A SUPER Debut for New GeForce RTX 40 Series Graphics Cards

The GeForce RTX 40 Series has been supercharged with the new GeForce RTX 4080 SUPER, GeForce RTX 4070 Ti SUPER and GeForce RTX 4070 SUPER graphics cards. This trio is faster than its predecessors, with RTX platform superpowers that enhance creating, gaming and AI tasks.

The GeForce RTX 4080 SUPER sports more CUDA cores than the GeForce RTX 4080 and includes the world’s fastest GDDR6X video memory at 23 Gbps. In 3D apps like Blender, it can run up to 70% faster than previous generations. In generative AI apps like Stable Diffusion XL or Stable Video Diffusion, it can produce 1,024×1,024 images 1.7x faster and video 1.5x faster. Or play fully ray-traced games, including Alan Wake 2, Cyberpunk 2077: Phantom Liberty and Portal with RTX, in stunning 4K. The RTX 4080 SUPER will be available Jan. 31 as a Founders Edition and as custom boards for partners starting at $999.

The GeForce RTX 4070 Ti SUPER is equipped with more CUDA cores than the RTX 4070, a frame buffer increased to 16GB, and a 256-bit bus. It’s suited for video editing and rendering large 3D scenes and runs up to 1.6x faster than the RTX 3070 Ti and 2.5x faster with DLSS 3 in the most graphics-intensive games. Gamers can max out high-refresh 1440p panels or even game at 4K. The RTX 4070 Ti SUPER will be available Jan. 24 from custom board partners in stock-clocked and factory-overclocked configurations starting at $799.

The GeForce RTX 4070 SUPER has 20% more CUDA cores than the GeForce RTX 4070 and is great for 1440p creating. With DLSS 3, it’s 1.5x faster than a GeForce RTX 3090 while using a fraction of the power.

Read more on the GeForce article.

Creative Vision Meets Reality With Getty Images and NVIDIA

Content creators using the new Generative AI by iStock from Getty Images tool powered by NVIDIA Picasso can now safely, affordably use AI-generated images with full protection.

Generative AI by iStock is trained on Getty Images’ vast creative library of high-quality licensed content, including millions of exclusive photos, illustrations and videos. Users can enter prompts to generate photo-quality images at up to 4K for social media promotion, digital advertisements and more.

Getty Images is also making advanced inpainting and outpainting features available via application programming interfaces. Developers can seamlessly integrate the new APIs with creative applications to add people and objects to images, replace specific elements and expand images to a wide range of aspect ratios.

Customers can use Generative AI by iStock online today. Advanced editing features are coming soon to the iStock website.

RTX Video HDR Brings AI Video Upgrades

RTX Video HDR brings a new AI-enhanced feature that instantly converts any standard dynamic range video playing in internet browsers into vibrant HDR.

HDR delivers stunning video quality but is not widely available because of effort and hardware limitations.

RTX Video HDR allows NVIDIA RTX and GeForce RTX GPU owners to maximize their HDR panel’s ability to display more vivid, dynamic colors, helping preserve intricate details that may be lost in standard dynamic range.

The feature requires an HDR10-compatible display or TV connected to a RTX-powered PC and works with Chromium-based browsers such as Google Chrome or Microsoft Edge.

RTX Video HDR and RTX Video Super Resolution can be used together to produce the clearest streamed video.

RTX Video HDR is coming to all NVIDIA RTX and GeForce RTX GPUs as part of a driver update later this month. Once the update goes through, navigate to the NVIDIA control panel and switch it on.

Enhanced Broadcasting Beta Enables Multi-Encode Livestreaming

With Twitch Enhanced Broadcasting beta, GeForce RTX GPU owners will be able to broadcast up to three resolutions simultaneously at up to 1080p. In the coming months, Twitch plans to roll out support for up to five concurrent encodes to further optimize viewer experiences.

As part of the beta, Twitch will test higher input bit rates as well as new codecs, which are expected to further improve visual quality. The new codecs include the latest-generation AV1 for GeForce RTX 40 Series GPUs, which provides 40% more encoding efficiency than H.264, and HEVC for previous-generation GeForce GPUs.

To simplify the setup process, Enhanced Broadcasting will automatically configure all open broadcaster software encoder settings, including resolution, bit rate and encoding parameters.

Sign up for the Twitch Enhanced Broadcasting beta today.

A Righteous RTX Remix

Built on NVIDIA Omniverse, RTX Remix allows modders to easily capture game assets, automatically enhance materials with generative AI tools, reimagine assets via Omniverse-connected apps and Universal Scene Description (OpenUSD), and quickly create stunning RTX remasters of classic games with full ray tracing and NVIDIA DLSS technology.

The RTX Remix open beta releases later this month.

RTX Remix has already delivered stunning remasters in Portal with RTX and the modder-made Portal: Prelude RTX. Now, Orbifold Studios is using RTX Remix to develop Half-Life 2 RTX: An RTX Remix Project, a community remaster of one of the highest-rated games of all time. Check out the new Half-Life 2 RTX gameplay trailer, showcasing Orbifold Studios’ latest updates to Ravenholm:

AI and RTX Bring Illustrations to Life

NVIDIA artists and this week’s In the NVIDIA Studio features Ashlee Martino-Tarr and Daniela Flamm Jackson are passionate about illustration — whether in work or at play.

They used Adobe Firefly’s generative AI features, powered by NVIDIA GPUs in the cloud and accelerated with Tensor Cores in GeForce RTX GPUs, to animate a 2D illustration with special effects.

To begin, the pair separated the 2D image into multiple layers and expanded the canvas. Firefly’s Generative Expand feature automatically filled the added space with AI-generated content.

 

Next, the team separated select elements — starting with character — and used the AI Object Select feature to automatically mask the layer. The Generative Fill feature then created new content to fill in the background, saving even more time.

 

This process continued until all distinct layers were separated and imported into Adobe After Effects. Next, they used the Mercury 3D Engine on local RTX GPUs to accelerate playback, unlocking smoother movement in the viewport. Previews and adjustments like camera shake and depth of field were also GPU-accelerated.

 

Firefly’s Style Match feature then took the existing illustration and created new imagery in its likeness — in this case, a vibrant butterfly sporting similar colors and tones. The duo also used Adobe Illustrator’s Generative Recolor feature, which enables artists to explore a wide variety of colors and themes without having to manually recolor their work.

 

Martino-Tarr and Jackson then chose their preferred assets and animated them in Adobe After Effects. Firefly’s powerful AI effects helped speed or entirely eliminate tedious tasks such as patching holes, handpainting set extensions and caching animation playbacks.

A variety of high-quality images to choose from.

The artists concluded post-production work by putting the finishing touches on their AI animation in After Effects.

 

Firefly’s powerful AI capabilities were developed with the creative community in mind — guided by AI ethics principles of content and data transparency — to ensure morally responsible output. NVIDIA technology continues to power these features from the cloud for photographers, illustrators, designers, video editors, 3D artists and more.

NVIDIA artists Ashlee Martino-Tarr and Daniela Flamm Jackson.

Check out Martino-Tarr’s portfolio on ArtStation and Jackson’s on IMDb.

Follow NVIDIA Studio on Instagram, Twitter and Facebook. Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter. 

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NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers

June 23, 2026 by
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News Highlights:

  • NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list.
  • 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list.
  • The top eight systems on the Green500 run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies.
  • No. 1 on the Green500, KAIROS, uses a single NVIDIA Grace Hopper Superchip.
  • 376 of the TOP500 systems are interconnected using NVIDIA networking.

NVIDIA technologies power more than 400 of the world’s 500 fastest supercomputers — 81% of the TOP500 — according to the latest rankings released this week at the ISC High Performance conference in Hamburg, Germany.

That’s a gain of 17 systems from the previous list, with the momentum in new deployments: nearly nine of every 10 systems new to the ranking are built on NVIDIA technologies.

That percentage reflects a deliberate preference for machines built for AI, simulation and science together. And it’s compounding: NVIDIA systems across the TOP500 now deliver more than 2x the AI training and nearly 3x the AI inference throughput of every other platform combined.

GPU and networking adoption each hit new highs, with NVIDIA GPUs accelerating a record 238 systems and NVIDIA networking connecting a record 376 — the vast majority on NVIDIA Quantum InfiniBand, the backbone of large-scale AI and high-performance computing, and the rest on Ethernet. 

The trend behind the numbers is bigger than any one list: Accelerated computing is becoming the foundation for the systems taking on the world’s most demanding work, across AI and science.

Updated twice a year, the TOP500 ranks the world’s fastest supercomputers, while the Green500 list measures how much computing each delivers per watt.

A Full-Stack Footprint

NVIDIA’s reach now spans the full system — GPU, networking and, increasingly, the CPU — with NVIDIA Grace CPU adoption reaching 26 systems, up eight from the previous list, with nearly 2.5 million Grace CPUs shipped.

NVIDIA Grace-based machines sit atop both rankings: JUPITER at No. 5 and Alps at No. 10 on the TOP500, and KAIROS at No. 1 on the Green500.

Each pairs an NVIDIA GPU with the Grace CPU in a single NVIDIA Grace Hopper Superchip, letting the two share memory with minimal overhead — a design built for the memory-intensive demands of modern AI.

The NVIDIA Vera CPU, announced earlier this year, builds on the success of Grace, taking CPU performance and energy efficiency to new levels for the most demanding AI workloads in modern data centers — where agents move from answering basic questions to taking actions, running code, using tools and evaluating results.

Topping the Efficiency List

NVIDIA swept the Green500 ranking of the most energy-efficient supercomputers: The top eight all run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies. 

Leading the list is KAIROS, an NVIDIA Grace Hopper system at France’s University of Toulouse, at 73.3 gigaflops per watt — with Grace Hopper systems taking the top four spots, across France, Germany and the U.K.

From Exascale Science to the Next Wave

A record 35 NVIDIA AI HPC supercomputers are in development across Europe — equipping more than 3 million researchers with next-generation infrastructure for continental AI, accelerated science and industrial innovation.

Among these systems is JUPITER, Europe’s fastest supercomputer and its first to reach exascale, at the Jülich Supercomputing Centre in Germany.

JUPITER is mapping the human brain at cellular scale, simulating Earth’s climate and advancing the AI behind next-generation 6G networks.

The newest arrivals to the list run on the NVIDIA Blackwell architecture, with B200 and GB200 systems entering the rankings across Asia, Europe and the U.S. — and the first GB200 systems debuting in Japan.

The buildout is global, from a new AI factory in South Africa to national AI systems in Saudi Arabia, Singapore and Vietnam.

It’s the same story up and down the list: the world’s AI buildout is running on NVIDIA.

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NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure

June 22, 2026 by
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For the past two years, the U.S. National Science Foundation’s National Artificial Intelligence Research Resource (NAIRR) pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management. 

NVIDIA contributed to the NAIRR pilot through a cloud-based resource that gives researchers dedicated access to a minimum of four NVIDIA DGX nodes for at least a month. NVIDIA also provided technical support to onboard and assist the researchers throughout their projects. 

With NVIDIA’s AI infrastructure support and DGX reference architecture providing dedicated resources, researchers have collapsed workflow timelines and uncovered groundbreaking technologies that will reshape and advance industries such as healthcare, agriculture and energy. 

The potential for scientific exploration and discovery across the nation through NAIRR is boundless. Learn more about a few NAIRR projects below. 

Physical Simulations With Polymathic AI’s Well Dataset

Simulation-to-real pipelines are becoming increasingly common across industries as a safer, more cost-efficient deployment method. 

Polymathic AI — a coalition of international scientists from Flatiron Institute, Cambridge University and Lawrence Berkeley National Lab — with the help of NVIDIA GPUs and NVIDIA NVLink interconnect technology, is strengthening physical, fluidlike simulations with its large-scale dataset called the “Well.” The dataset will be used to train the largest and most broadly applicable foundation model for fluidlike behavior to date. 

This foundation model, named Walrus, has been made publicly available along with its data, code and pertained weights. 

Polymathic AI’s approach builds on previous work in physics pretraining environments — addressing current limitations in scale and pretraining diversity. The research group also plans to explore scaling laws to help accelerate the development of more powerful foundation models for scientific applications.

University of Michigan’s Fusion Model for Energy Storage

Energy, a foundation of society, requires designing novel and efficient materials for energy storage and conversion.

Researchers at the University of Michigan, led by Professor Venkat Viswanathan in the Department of Aerospace engineering, are developing a model-fusion framework that brings together domain-specific molecular AI and general-purpose large language models. The goal is to help computational scientists more easily explore chemical space, ask chemistry-specific questions in natural language and identify promising materials for next-generation energy technologies. 

The family of molecular foundation models, MIST (the Molecular Insight SMILES Transformers), is designed for discovery and exploration across chemical space. 

MIST models were pretrained on large unlabeled molecular datasets and use a novel tokenizer, Smirk, to better capture nuclear, electronic, geometric, isotopic and stereochemical information from molecular representations. MIST models have been fine-tuned on more than 400 structure-property relationships and can match or exceed state-of-the-art performance across benchmarks spanning electrochemistry, quantum chemistry, physiology and other domains. 

MIST was developed on a 40-GPU NVIDIA DGX cluster the researchers gained as part of a NAIRR allocation and an additional 200,000 NVIDIA GPU hours on ALCF’s Polaris cluster. The team used NVIDIA’s NGC PyTorch container to support reproducible GPU-accelerated development across the different clusters.

Fusing MIST with general-purpose LLMs makes accurate quantum-chemical calculations more broadly accessible and accelerates the design of energy storage and conversion systems needed to enable widespread electrification of transportation, such as in the heavy-duty and aviation sectors.

Boston University’s BEACON AI Pipeline for Infectious Disease Detection 

Infectious diseases can spread rapidly in communities, causing surges in outbreaks. 

Boston University’s Hariri Institute for Computing and the Center on Emerging Infectious Diseases is working to train and evaluate a LLM using NVIDIA accelerated compute, through an AI pipeline to support an outbreak monitoring program called BEACON — Biothreats Emergence, Analysis and Communications Network.  

This LLM is being trained using a large corpus of documents on infectious diseases and epidemic-prone priority pathogens to support the work of field experts and outbreak analysts working on BEACON.

The model will be capable of analyzing online posts of emerging disease outbreaks on a global scale to extract features for downstream categorization and prioritization. BEACON will process signals from a variety of sources — including global disease-tracking platform HealthMap, news and social media feeds, subject-matter experts and individual communications via community boards or social media — to generate concise outbreak reports.  

These comprehensive outbreak analyses can inform clinical practice guidelines for emerging infectious diseases and identify gaps where further data is needed. 

Internationally deployed doctors, government organizations and academic researchers are already using the BEACON model to quickly identify and treat infectious diseases. 

“When you talk to infectious disease experts about what they used to do before we developed this pipeline, it used to take several hours for them to compose a report,” said Ioannis Paschalidis, director of Boston University’s Hariri Institute. “Now, producing a report gets done in roughly two minutes.” 

NAIRR and NVIDIA Across the Nation 

The latest scientific research doesn’t end there. Many other universities — including Harvard, Stanford, Colorado State University and more — are pioneering scientific breakthroughs with the help of NAIRR and NVIDIA. 

With scientists gaining broader access to AI and accelerated computing, innovation for a safer and healthier nation are more tangible than ever. 

Learn more about the NAIRR pilot program and explore how NVIDIA is driving academic research.

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NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory

Mission, Vision and Veritas supercomputers with Vera CPUs to advance materials simulation, scientific AI agents and molecular design.
June 22, 2026 by
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Mission, Vision and Veritas — new Los Alamos National Laboratory (LANL) supercomputers to be built with HPE and NVIDIA — are tapping NVIDIA Vera CPUs to accelerate scientific discovery, unlocking agentic AI for science.

The supercomputers will use the HPE Cray Supercomputing GX5000 architecture with the NVIDIA Vera Rubin platform, combining NVIDIA Vera CPUs, NVIDIA Rubin GPUs and NVIDIA Quantum-X800 InfiniBand networking.

Under the planned configuration, Mission will include NVIDIA Vera Rubin GPU nodes and 2,300 standalone NVIDIA Vera CPUs using the HPE Cray Supercomputing GX240 blade. Veritas will feature approximately 1,150 standalone NVIDIA Vera CPUs to complement NVIDIA Vera Rubin nodes. 

Veritas will arrive alongside Mission and Vision and serve the Laboratory Directed Research and Development program, helping accelerate agentic AI for science. The system will test these technologies for use in larger systems being built out at LANL. 

Researchers are adding a new tool for science with AI agents that can form hypotheses, choose tools, launch simulations, analyze outputs and refine the next step. LANL’s public work on URSA, the Universal Research and Scientific Agent — running on Venado and soon Mission and Vision — points in this direction: a modular, feedback-driven AI framework designed to help scientists brainstorm hypotheses, plan experiments, run simulations and analyze results. 

LANL demonstrated that the Vera CPU delivered 7x higher performance on URSA workloads than the CPUs in the Crossroads x86 supercomputer.

Vera CPU for Agents and Simulation

In LANL’s early testing of NVIDIA Vera CPUs on Branson — an open source Monte Carlo heat transfer simulation tool — Vera outperforms the CPUs used in the Crossroads x86 supercomputer by over 3x. 

These results were made possible by Vera, including its custom Olympus core, LPDDR5 memory and fast on-chip fabric. 

A single Vera CPU outperforms a single socket x86-based CPU by more than 3x while providing more than 4x the memory per core and 6x the memory per node. Ultimately, this means faster  scientific results for LANL.

All of the lab’s supercomputers were codesigned by hardware architects, system software developers, domain scientists, computer scientists and applied mathematicians — helping ensure systems are shaped by real scientific workloads, not abstract benchmarks alone. 

Building on Generations of LANL Systems

Mission, expected to be operational in 2027, will be the fifth Advanced Technology System in the National Nuclear Security Administration’s Advanced Simulation and Computing program and will replace Crossroads for classified national security workloads. 

Vision, also expected to be operational in 2027, will serve as a resource for fundamental science, including materials and nuclear science, energy modeling, biomedical research and AI — letting more scientists test methods, train models and explore ideas before moving into higher-consequence work.

The work extends more than a decade of LANL and NVIDIA’s deep collaboration on CPUs, from Grace to Vera, using extreme codesign for LANL simulation workloads.

The three new supercomputers build on Venado, the HPE Cray EX supercomputer installed at Los Alamos in 2024 with NVIDIA GH200 Grace Hopper Superchips and NVIDIA Grace CPU Superchips. 

Learn more about the NVIDIA Vera CPU.

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