Posts in category: nVidia AI

Adobe is putting generative AI into the hands of creators with Adobe Firefly — powered by NVIDIA in the cloud — and adding to its impressive app lineup with exciting new features.

The AI-powered Enhance Speech tool, available soon in Adobe Premiere Pro, is accelerated by NVIDIA RTX. This new feature removes unwanted noise and improves the quality of dialogue clips so they sound professionally recorded.

Esteban Toro, senior community relationship manager at Adobe and this week’s featured In the NVIDIA Studio artist, expertly wields AI-powered features in Adobe Photoshop and Lightroom to create his emotionally moving Cinematic Portraits series.

Have a Chat with RTX — the tech demo app that lets GeForce RTX owners personalize a generative pretrained transformer large language model connected to their own content, whether in documents, notes, videos or other data formats. Since it runs locally on a Windows RTX PC or workstation, results are fast and secure. Download Chat with RTX today.

Don’t forget GTC registration is open for virtual or in-person attendance. Running March 18-21 in San Jose, Calif., the event delivers something for every technical level and interest area, including sessions on how to power content creation using OpenUSD and generative AI.

And Omniverse OpenUSD month rolls on, spotlighting the open and extensible ecosystem for describing, composing, simulating and collaborating within 3D worlds. Follow NVIDIA Studio on Instagram, X and Facebook to learn more.

Storytelling With Adobe AI and RTX 

The talented Toro is driven by stories.

“Understanding how every person has a different upbringing and how the decisions they made took them to different places is absolutely inspiring,” said Toro. “When I discover a story worth telling, I just feel a necessity to tell it — and tell it right.”

It’s those stories that gave rise to Cinematic Portraits, a photo and video collection of people Toro’s befriended, such as Korean painter Kim Nam Soon, age 81, who impressively learned how to paint at 65.

Toro’s planning process is long and thorough — he can only retell stories by first having a conversation with each subject, making sure that they understand what the project is about and building a relationship with them so they feel comfortable enough to authentically share.

He captures video and photos of his subjects using Hasselblad and Sony camera gear. Then, he uses Adobe apps, accelerated by GeForce RTX and NVIDIA RTX technology, in post-production.

Toro deployed the Enhance Speech tool to boost the clarity and quality of voice recordings and adjusted enhancement levels with the Mix Amount setting — all powered by AI. The feature is 75% faster on a GeForce RTX 4090 laptop GPU compared with an RTX 3080 Ti.

“Without AI, the footage, filmed in challenging, noisy conditions, would be unusable,” he said.

The Text-Based Editing tool in Premiere Pro allowed Toro to use speech-to-text AI capabilities to automatically create captions, supported in 18 languages, for video footage — speeding the editing process.

Toro also used the Filler Word Detection feature, which detects and deletes filler words and pauses, to achieve cleaner, more accurate transcripts. Filler words are language agnostic, so the feature works in all 18 languages supported in Text-Based Editing.

Adobe offers a wide variety of time-saving features, such as the AI-powered Auto Reframe tool for automated editing in multiple size formats for social media with project templates. Toro’s NVIDIA Studio laptop with the GeForce RTX 4070 graphics card accelerates all of these powerful tools.

Final file exports were achieved 4x faster than with a CPU alone thanks to the GPU-accelerated NVIDIA video encoder (NVENC). Toro quickly and easily added finishing touches in Photoshop Lightroom, using the RTX-accelerated, AI-powered Raw Details feature to refine the color detail of his high-resolution RAW images, and the Super Resolution feature to upscale images with higher quality than traditional methods.

“Having a dedicated GPU for video projects when filming high-quality video is almost mandatory,” said Toro. “Using NVIDIA GPUs allows me to render and process my projects faster, so the post-processing tools are serving my creative ideas, and I’m not limited by what the computer can do, but exactly what I want to create.”

Follow Esteban Toro on Instagram.

Providing a peek at the architecture powering advanced AI factories, NVIDIA Thursday released a video that offers the first public look at Eos, its latest data-center-scale supercomputer.

An extremely large-scale NVIDIA DGX SuperPOD, Eos is where NVIDIA developers create their AI breakthroughs using accelerated computing infrastructure and fully optimized software.

Eos is built with 576 NVIDIA DGX H100 systems, NVIDIA Quantum-2 InfiniBand networking and software, providing a total of 18.4 exaflops of FP8 AI performance.

Revealed in November at the Supercomputing 2023 trade show, Eos — named for the Greek goddess said to open the gates of dawn each day — reflects NVIDIA’s commitment to advancing AI technology.

Eos Supercomputer Fuels Innovation

Each DGX H100 system is equipped with eight NVIDIA H100 Tensor Core GPUs. Eos features a total of 4,608 H100 GPUs.

As a result, Eos can handle the largest AI workloads to train large language models, recommender systems, quantum simulations and more.

It’s a showcase of what NVIDIA’s technologies can do, when working at scale.

Eos is arriving at the perfect time. People are changing the world with generative AI, from drug discovery to chatbots to autonomous machines and beyond.

To achieve these breakthroughs, they need more than AI expertise and development skills. They need an AI factory — a purpose-built AI engine that’s always available and can help ramp their capacity to build AI models at scale

Eos delivers. Ranked No. 9 in the TOP500 list of the world’s fastest supercomputers, Eos pushes the boundaries of AI technology and infrastructure.

It includes NVIDIA’s advanced accelerated computing and networking alongside sophisticated software offerings such as NVIDIA Base Command and NVIDIA AI Enterprise.

Eos’s architecture is optimized for AI workloads demanding ultra-low-latency and high-throughput interconnectivity across a large cluster of accelerated computing nodes, making it an ideal solution for enterprises looking to scale their AI capabilities.

Based on NVIDIA Quantum-2 InfiniBand with In-Network Computing technology, its network architecture supports data transfer speeds of up to 400Gb/s, facilitating the rapid movement of large datasets essential for training complex AI models.

At the heart of Eos lies the groundbreaking DGX SuperPOD architecture powered by NVIDIA’s DGX H100 systems.

The architecture is built to provide the AI and computing fields with tightly integrated full-stack systems capable of computing at an enormous scale.

As enterprises and developers worldwide seek to harness the power of AI, Eos stands as a pivotal resource, promising to accelerate the journey towards AI-infused applications that fuel every organization.

GFN Thursday keeps its fourth anniversary celebrations rolling by bringing Ubisoft’s Skull and Bones and Microsoft’s Halo Infinite to the cloud this week.

They’re part of five newly supported games, and thanks to the power of the cloud, members can play them at unrivaled quality across nearly any device.

The Ultimate Upgrade, Instantly

When GeForce NOW launched in 2020, members flocked to take advantage of NVIDIA GeForce RTX 20 Series GPU-powered servers and experience real-time ray tracing on low-powered devices. For the first time, high-performance PC gaming was available to all.

Later, members gained access to the Ultimate upgrade, as NVIDIA cloud gaming servers brought GeForce RTX 3080-class power to users across the globe.

Now, with the NVIDIA Ada Lovelace GPU architecture, cloud gaming has taken another leap forward, powered by the GeForce RTX 4080 SuperPOD.

That means nearly anyone can experience groundbreaking PC gaming technologies like NVIDIA DLSS 3.5, with its AI-powered Frame Generation and upscaling features. Members can explore their favorite game worlds rendered with cinematic lighting and reflections thanks to RTX ON, with full ray tracing supported in titles like Cyberpunk 2077 and Alan Wake 2. Experience immersive gaming, even on old laptops or smartphones.

Enjoy the greatest PC games available at up to 4K resolution with an Ultimate membership, and explore a whole new world with support for 21:9 ultrawide resolutions.

Members also have the competitive edge in the cloud, thanks to support for NVIDIA Reflex technology. Ultimate members can take aim and make every shot count with ultra-low latency and support for up to 240 frames per second performance — a first for cloud gaming — all made possible by GeForce NOW. Upgrade today to feel the difference.

Shiver Me Timbers

Enter the perilous world of Skull and Bones, Ubisoft’s nautical action-packed adventure streaming now on GeForce NOW.

Sail the seas as a fearsome pirate kingpin, gaining infamy and gathering resources while building a smuggling empire. Engage in thrilling naval battles and risk it all for the biggest loot. Equip powerful weapons to outgun other ships and rain terror on enemy forts. Craft and sail up to 10 ships, each with unique perks, and become a force of destruction on the water.

Upgrade to a GeForce NOW Ultimate membership to loot and plunder at full quality, with support for ultrawide resolutions and gameplay at up to 4K resolution and 120 fps on PCs and Macs.

Infinite Action

Step inside the armor of humanity’s greatest hero. Halo Infinite joins GeForce NOW this week, delivering the most expansive Master Chief campaign yet and a groundbreaking, free-to-play multiplayer experience. Plus, read this article and search for Halo Infinite for more details on how to launch the game.

It’s part of five new games this week:

• Banishers: Ghosts of New Eden (New release on Steam, Feb. 12)
• Deep Rock Galactic: Survivor (New release on Steam, Feb. 14)
• Goat Simulator 3 (New release on Steam, Feb 15)
• Skull and Bones (New release on Ubisoft, Feb. 16)
• Halo Infinite (Steam and Xbox, available on PC Game Pass)

What are you planning to play this weekend? Let us know on X or in the comments below.

Happy Valentine’s Day!

Raise your hand if you’re in a cirrus relationship. pic.twitter.com/g9bVP4BmPX

— NVIDIA GeForce NOW (@NVIDIAGFN) February 14, 2024

The fusion of the physical and digital worlds is reshaping the automotive industry. NVIDIA’s automotive partners are using digitalization to transform every phase of the product lifecycle — evolving primarily physical, manual processes into software-driven, AI-enhanced digital systems.

Watch the video to learn more.

Digitalization: A Game Changer From End to End

Kaivan Karimi, global partner strategy lead at Microsoft, observes that companies are achieving “huge” results from “digitizing the physical entity, running simulations and rendering in 3D, whether it’s factory automation or modernizing the design and development of the car.”

Brian Ullem, vice president of engineering at Capgemini, explains that, with “the 30,000 parts that go into a car, it takes approximately five years to develop a vehicle end to end. Instead of building 50 or 100 cars, we can use digitalization to simulate without having to build prototypes. That saves a lot of time and money in the process.”

Thomas Mueller, chief technology officer of engineering at Wipro, adds that with digitalization, “we are now able to run simulations at a low cost…and improve the user experience.”

Simulation: Critical for Autonomous Driving

“Simulation is crucial to the development of autonomous systems,” says Ziv Binyamini, CEO of Foretellix. “On one hand, you need the real world, but this is highly costly. So you have to complement it with the ability to simulate a virtual world where everything is possible. And then you can, in a very cost-effective way, iterate quickly and ensure the system operates under all of these conditions.”

Simulation “gives our customers the power to validate their ADAS or autonomous systems virtually — with highly accurate sensors in the camera, lidar and radar domains — without having to rely on actual physical drives,” adds Tony Karam, global sales director at Ansys.

Austin Russell, founder and CEO of Luminar, agrees that “simulation is absolutely critical for autonomous driving. It’s great to see the work that NVIDIA has been doing in that domain, with not just the hardware but also the software.”

NVIDIA Omniverse: The Digital-Physical Convergence

“Software is a new component in the value proposition,” notes Walid Negm, chief technology officer of product engineering at Deloitte. The companies that will “survive and thrive are going to have to become much more efficient using the digital-physical convergence. The Omniverse experience is going to be important for the automotive sector.”

Shiv Tasker, global vice president of engineering at Capgemini, adds that the “visualization and production of digital twins relies on an efficient, high-performance infrastructure as well as the platforms that make it easy for customers to adopt the technology.”

Omniverse “will allow your worldwide team to simultaneously collaborate,” says Karimi of Microsoft. “Design engineers, migration engineers, test engineers — everybody collaborates simultaneously. That’s the power of NVIDIA Omniverse.”

Learn more about the NVIDIA DRIVE platform and how it’s helping industry leaders redefine transportation.

Join NVIDIA at GTC from March 18-21 in San Jose, Calif., to learn more about digitalization in the automotive industry.

Thanks to their work driving AI forward, Akshit Arora and Rafael Valle could someday speak to their spouses’ families in their native languages.

Arora and Valle — along with colleagues Sungwon Kim and Rohan Badlani — won the LIMMITS ’24 challenge which asks contestants to recreate in real time a speaker’s voice in English or any of six languages spoken in India with the appropriate accent. Their novel AI model only required a three-second speech sample.

The NVIDIA team advanced the state of the art in an emerging field of personalized voice interfaces for more than a billion native speakers of Bengali, Chhattisgarhi, Hindi, Kannada, Marathi and Telugu.

Making Voice Interfaces Realistic

The technology for personalized text-to-speech translation is a work in progress. Existing services sometimes fail to accurately reflect the accents of the target language or nuances of the speaker’s voice.

The challenge judged entries by listening for the naturalness of models’ resulting speech and its similarity to the original speaker’s voice.

The latest improvements promise personalized, realistic conversations and experiences that break language barriers. Broadcasters, telcos, universities, as well as e-commerce and online gaming services are eager to deploy such technology to create multilingual movies, lectures and virtual agents.

“We demonstrated we can do this at a scale not previously seen,” said Arora, who has two uses close to his heart.

Breaking Down Linguistic Barriers

A senior data scientist who supports one of NVIDIA’s biggest customers, Arora speaks Punjabi, while his wife and her family are native Tamil speakers.

It’s a gulf he’s long wanted to bridge for himself and others. “I had classmates who knew their native languages much better than the Hindi and English used in school, so they struggled to understand class material,” he said.

The gulf crosses continents for Valle, a native of Brazil whose wife and family speak Gujarati, a language popular in west India.

“It’s a problem I face every day,” said Valle, an AI researcher with degrees in computer music and machine listening and improvisation. “We’ve tried many products to help us have clearer conversations.”

Badlani, an AI researcher, said living in seven different Indian states, each with its own popular language, inspired him to work in the field.

A Race to the Finish Line

The initiative started nearly two years ago when Arora and Badlani formed the four-person team to work on the very different version of the challenge that would be held in 2023.

Their efforts generated a working code base for the so-called Indic languages. But getting to the win announced in January required a full-on sprint because the 2024 challenge didn’t get on the team’s radar until 15 days before the deadline.

Luckily, Kim, a deep learning researcher in NVIDIA’s Seoul office, had been working for some time on an AI model well suited to the challenge.

A specialist in text-to-speech voice synthesis, Kim was designing a so-called P-Flow model prior to starting his second internship at NVIDIA in 2023. P-Flow models borrow the technique large language models employ of using short voice samples as prompts so they can respond to new inputs without retraining.

“I created the model for English, but we were able to generalize it for any language,” he said.

“We were talking and texting about this model even before he started at NVIDIA,” said Valle, who mentored Kim in two internships before he joined full time in January.

Giving Others a Voice

P-Flow will soon be part of NVIDIA Riva, a framework for building multilingual speech and translation AI software, included in the NVIDIA AI Enterprise software platform.

The new capability will let users deploy the technology inside their data centers, on personal systems or in public or private cloud services. Today, voice translation services typically run on public cloud services.

“I hope our customers are inspired to try this technology,” Arora said. “I enjoy being able to showcase in challenges like this one the work we do every day.”

The contest is part of an initiative to develop open-source datasets and AI models for nine languages most widely spoken in India.

Hear Arora and Badlani share their experiences in a session at GTC next month.

And listen to the results of the team’s model below, starting with a three-second sample of a native Kannada speaker:

Here’s a similar-sounding synthesized voice reading the first sentence of this blog in Hindi:

And then in English:

See notice regarding software product information.

NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker, the director of strategic programs at the OSC, about all things supercomputing. The center’s Open OnDemand program, which takes the form of a web-based interface, empowers Ohio higher education institutions and industries with accessible, reliable and secure computational services and training and educational programs. Chalker dives into the history and evolution of the OSC, and explains how it’s working with client companies like NASCAR, which is simulating race car designs virtually. Tune in to learn more about Chalker’s outlook on the future of supercomputing and OSC’s role in realizing it.

Chatbots are used by millions of people around the world every day, powered by NVIDIA GPU-based cloud servers. Now, these groundbreaking tools are coming to Windows PCs powered by NVIDIA RTX for local, fast, custom generative AI.

Chat with RTX, now free to download, is a tech demo that lets users personalize a chatbot with their own content, accelerated by a local NVIDIA GeForce RTX 30 Series GPU or higher with at least 8GB of video random access memory, or VRAM.

Ask Me Anything

Chat with RTX uses retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring generative AI capabilities to local, GeForce-powered Windows PCs. Users can quickly, easily connect local files on a PC as a dataset to an open-source large language model like Mistral or Llama 2, enabling queries for quick, contextually relevant answers.

Rather than searching through notes or saved content, users can simply type queries. For example, one could ask, “What was the restaurant my partner recommended while in Las Vegas?” and Chat with RTX will scan local files the user points it to and provide the answer with context.

The tool supports various file formats, including .txt, .pdf, .doc/.docx and .xml. Point the application at the folder containing these files, and the tool will load them into its library in just seconds.

Users can also include information from YouTube videos and playlists. Adding a video URL to Chat with RTX allows users to integrate this knowledge into their chatbot for contextual queries. For example, ask for travel recommendations based on content from favorite influencer videos, or get quick tutorials and how-tos based on top educational resources.

Since Chat with RTX runs locally on Windows RTX PCs and workstations, the provided results are fast — and the user’s data stays on the device. Rather than relying on cloud-based LLM services, Chat with RTX lets users process sensitive data on a local PC without the need to share it with a third party or have an internet connection.

In addition to a GeForce RTX 30 Series GPU or higher with a minimum 8GB of VRAM, Chat with RTX requires Windows 10 or 11, and the latest NVIDIA GPU drivers.

Develop LLM-Based Applications With RTX

Chat with RTX shows the potential of accelerating LLMs with RTX GPUs. The app is built from the TensorRT-LLM RAG developer reference project, available on GitHub. Developers can use the reference project to develop and deploy their own RAG-based applications for RTX, accelerated by TensorRT-LLM. Learn more about building LLM-based applications.

Enter a generative AI-powered Windows app or plug-in to the NVIDIA Generative AI on NVIDIA RTX developer contest, running through Friday, Feb. 23, for a chance to win prizes such as a GeForce RTX 4090 GPU, a full, in-person conference pass to NVIDIA GTC and more.

Learn more about Chat with RTX.

Every country needs to own the production of their own intelligence, NVIDIA founder and CEO Jensen Huang told attendees Monday at the World Governments Summit in Dubai.

Huang, who spoke as part of a fireside chat with the UAE’s Minister of AI, His Excellency Omar Al Olama, described sovereign AI — which emphasizes a country’s ownership over its data and the intelligence it produces — as an enormous opportunity for the world’s leaders.

“It codifies your culture, your society’s intelligence, your common sense, your history – you own your own data,” Huang told Al Olama during their conversation, a highlight of an event attended by more than 4,000 delegates from 150 countries.

“We completely subscribe to that vision,” Al Olama said. “That’s why the UAE is moving aggressively on creating large language models and mobilizing compute.”

Huang’s appearance in the UAE comes as the Gulf State is moving rapidly to transform itself from an energy powerhouse into a global information technology hub.

Dubai is the latest stop for Huang in a global tour that has included meetings with leaders in Canada, France, India, Japan, Malaysia, Singapore and Vietnam over the past six months.

The Middle East is poised to reap significant benefits from AI, with PwC projecting a $320 billion boost to the region’s economy by 2030.

At Monday’s summit, Huang urged leaders not to be “mystified” by AI. AI’s unprecedented ability to take directions from ordinary humans makes it critical for countries to embrace AI, infusing it with local languages and expertise.

In response to Al Olama’s question about how he might approach AI if he were the leader of a developing nation, Huang emphasized the importance of building infrastructure.

“It’s not that costly, it is also not that hard,” Huang said. “The first thing that I would do, of course, is I would codify the language, the data of your culture into your own large language model.”

And as AI and accelerated computing has developed, NVIDIA GPUs have become a platform for one innovation after another.

“NVIDIA GPU is the only platform that’s available to everybody on any platform,” Huang said. “This ubiquity has not only democratized AI but facilitated a wave of innovation that spans from cloud computing to autonomous systems and beyond.

All of this promises to unleash new kinds of innovations that go beyond what’s traditionally been thought of as information technology.

Huang even countered advice offered by many visionaries over the years who urged young people to study computer science in order to compete in the information age. No longer.

“In fact, it’s almost exactly the opposite,” Huang said. “It is our job to create computing technologies that nobody has to program and that the programming language is human: everybody in the world is now a programmer — that is the miracle.”

In a move that further underscores the regional momentum behind AI, Moro Hub, a subsidiary of Digital DEWA, the digital arm of the Dubai Electricity and Water Authority, focused on providing cloud services, cybersecurity and smart city solutions, announced Monday it has agreed to build a green data center with NVIDIA.

In addition to the fireside chat, the summit featured panels on smart mobility, sustainable development and more, showcasing the latest in AI advancements. Later in the evening, Huang and Al Olama took the stage at the ‘Get Inspired’ ecosystem event, organized by the UAE’s AI Office, featuring 280 attendees including developers, start-ups, and others.

Generative AI is driving change across industries — and to take advantage of its benefits, businesses must select the right hardware to power their workflows.

The new NVIDIA RTX 2000 Ada Generation GPU delivers the latest AI, graphics and compute technology to compact workstations, offering up to 1.5x the performance of the previous-generation RTX A2000 12GB in professional workflows.

From crafting stunning 3D environments to streamlining complex design reviews to refining industrial designs, the card’s capabilities pave the way for an AI-accelerated future, empowering professionals to achieve more without compromising on performance or capabilities.

Modern multi-application workflows, such as AI-powered tools, multi-display setups and high-resolution content, put significant demands on GPU memory. With 16GB of memory in the RTX 2000 Ada, professionals can tap the latest technologies and tools to work faster and better with their data.

Powered by NVIDIA RTX technology, the new GPU delivers impressive realism in graphics with NVIDIA DLSS, delivering ultra-high-quality, photorealistic ray-traced images more than 3x faster than before. In addition, the RTX 2000 Ada enables an immersive experience for enterprise virtual-reality workflows, such as for product design and engineering design reviews.

With its blend of performance, versatility and AI capabilities, the RTX 2000 Ada helps professionals across industries achieve efficiencies.

Architects and urban planners can use it to accelerate visualization workflows and structural analysis, enhancing design precision. Product designers and engineers using industrial PCs can iterate rapidly on product designs with fast, photorealistic rendering and AI-powered generative design. Content creators can edit high-resolution videos and images seamlessly, and use AI for realistic visual effects and content creation assistance.

And in vital embedded applications and edge computing, the RTX 2000 Ada can power real-time data processing for medical devices, optimize manufacturing processes with predictive maintenance and enable AI-driven intelligence in retail environments.

Expanding the Reach of NVIDIA RTX

Among the first to tap the power and performance of the RTX 2000 Ada are Dassault Systèmes for its SOLIDWORKS applications, Rob Wolkers Design and Engineering, and WSP.

“The new RTX 2000 Ada Generation GPU boasts impressive features compared to previous generations, with a compact design that offers exceptional performance and versatility,” said Mark Kauffman, assistant vice president and technical lead at WSP. “Its 16GB of RAM is a game-changer, enabling smooth loading of asset-heavy content, and its ability to run applications like Autodesk 3ds Max, Adobe After Effects and Unreal Engine, as well as support path tracing, expands my creative possibilities.”

“The new NVIDIA RTX 2000 Ada — with its higher-efficiency, next-generation architecture, low power consumption and large frame buffer — will benefit SOLIDWORKS users,” said Olivier Zegdoun, graphics applications research and development director for SOLIDWORKS at Dassault Systèmes. “It delivers excellent performance for designers and engineers to accelerate the development of innovative product experiences with full-model fidelity, even with larger datasets.”

“Today’s design and visualization workflows demand more advanced compute and horsepower,” said Rob Wolkers, owner and senior industrial design engineer at Rob Wolkers Design and Engineering. “Equipped with next-generation architecture and a large frame buffer, the RTX 2000 Ada Generation GPU improves productivity in my everyday industrial design and engineering workflows, allowing me to work with large datasets in full fidelity and generate renders with more lighting and reflection scenarios 3x faster.”

Elevating Workflows With Next-Generation RTX Technology 

The NVIDIA RTX 2000 Ada features the latest technologies in the NVIDIA Ada Lovelace GPU architecture, including:

• Third-generation RT Cores: Up to 1.7x faster ray-tracing performance for high-fidelity, photorealistic rendering.
• Fourth-generation Tensor Cores: Up to 1.8x AI throughput over the previous generation, with structured sparsity and FP8 precision to enable higher inference performance for AI-accelerated tools and applications.
• CUDA cores: Up to 1.5x the FP32 throughput of the previous generation for significant performance improvements in graphics and compute workloads.
• Power efficiency: Up to a 2x performance boost across professional graphics, rendering, AI and compute workloads, all within the same 70W of power as the previous generation.
• Immersive workflows: Up to 3x performance for virtual-reality workflows over the previous generation.
• 16GB of GPU memory: An expanded canvas enables users to tackle larger projects, along with support for error correction code memory to deliver greater computing accuracy and reliability for mission-critical applications.
• DLSS 3: Delivers a breakthrough in AI-powered graphics, significantly boosting performance by generating additional high-quality frames.
• AV1 encoder: Eighth-generation NVIDIA Encoder, aka NVENC, with AV1 support is 40% more efficient than H.264, enabling new possibilities for broadcasters, streamers and video callers.

NVIDIA RTX Enterprise Driver Delivers New Features, Adds Support for RTX 2000 Ada

The latest RTX Enterprise Driver, available now to download, includes a range of features that enhance graphics workflows, along with support for the RTX 2000 Ada.

The AI-based, standard dynamic range to high dynamic range tone-mapping feature, called Video TrueHDR, expands the color range and brightness levels when viewing content in Chrome or Edge browsers. With added support for Video Super Resolution and TrueHDR to the NVIDIA NGX software development kit, video quality of low-resolution sources can be enhanced, and SDR content can easily be converted to HDR.

Additional features in this release include:

• TensorRT-LLM, an open-source library that optimizes and accelerates inference performance for the latest large language models on NVIDIA GPUs.
• Video quality improvement and enhanced coding efficiency to video codecs through bit depth expansion techniques and new low-delay B frame.
• Ability to offload work from the CPU to the GPU with the execute indirect extension NVIDIA API for quicker task completion.
• Ability to display the GPU serial number in the NV Control Panel on desktops for easier registration to the NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise platforms.

Availability

The NVIDIA RTX 2000 Ada is available now through global distribution partners such as Arrow Electronics, Ingram Micro, Leadtek, PNY, Ryoyo Electro and TD SYNNEX, and will be available from Dell Technologies, HP and Lenovo starting in April.

See the NVIDIA RTX 2000 Ada at Dassault Systèmes’ 3DEXPERIENCE World

Stop by the Dell, Lenovo and Z by HP booths at Dassault Systèmes’ 3DEXPERIENCE World, running Feb. 11-14 at the Kay Bailey Hutchison Convention Center in Dallas, to view live demos of Dassault Systèmes SOLIDWORKS applications powered by the NVIDIA RTX 2000 Ada.

Attend the Z by HP session on Tuesday, Feb. 13, where Wolkers will discuss the workflow used to design NEMO, the supercar of submarines.

Learn more about the NVIDIA RTX 2000 Ada Generation GPU.

NVIDIA has joined the National Institute of Standards and Technology’s new U.S. Artificial Intelligence Safety Institute Consortium as part of the company’s effort to advance safe, secure and trustworthy AI.

AISIC will work to create tools, methodologies and standards to promote the safe and trustworthy development and deployment of AI. As a member, NVIDIA will work with NIST — an agency of the U.S. Department of Commerce — and fellow consortium members to advance the consortium’s mandate.

NVIDIA’s participation builds on a record of working with governments, researchers and industries of all sizes to help ensure AI is developed and deployed safely and responsibly.

Through a broad range of development initiatives, including NeMo Guardrails, open-source software for ensuring large language model responses are accurate, appropriate, on topic and secure, NVIDIA actively works to make AI safety a reality.

In 2023, NVIDIA endorsed the Biden Administration’s voluntary AI safety commitments. Last month, the company announced a $30 million contribution to the U.S. National Science Foundation’s National Artificial Intelligence Research Resource pilot program, which aims to broaden access to the tools needed to power responsible AI discovery and innovation.

AISIC Research Focus

Through the consortium, NIST aims to facilitate knowledge sharing and advance applied research and evaluation activities to accelerate innovation in trustworthy AI. AISIC members, which include more than 200 of the nation’s leading AI creators, academics, government and industry researchers, as well as civil society organizations, bring technical expertise in areas such as AI governance, systems and development, psychometrics and more.

In addition to participating in working groups, NVIDIA plans to leverage a range of computing resources and best practices for implementing AI risk-management frameworks and AI model transparency, as well as several NVIDIA-developed, open-source AI safety, red-teaming and security tools.

Learn more about NVIDIA’s guiding principles for trustworthy AI.