Posts in category: nVidia AI

AI is reshaping industries, society and the “very fabric of innovation” — and Canada is poised to play a key role in this global transformation, said NVIDIA founder and CEO Jensen Huang during a fireside chat with leaders from across Canada’s thriving AI ecosystem.

“Canada, as you know, even though you’re so humble, you might not acknowledge it, is the epicenter of the invention of modern AI,” Huang told an audience of more than 400 from academia, industry and government gathered Thursday in Toronto.

In a pivotal development, Canada’s Industry Minister François-Philippe Champagne shared Friday on X, formerly known as Twitter, that Canada has signed a letter of intent with NVIDIA.

Nations including Canada, France, India and Japan are discussing the importance of investing in “sovereign AI capabilities,” Huang said in an interview with Bloomberg Television in Canada.

Such efforts promise to enhance domestic computing capabilities, turbocharging local economies and unlocking local talent.

“Their natural resource, data, should be refined and produced for their country. The recognition of sovereign AI capabilities is global,” Huang told Bloomberg.

Huang’s conversation with the group of Canadian AI leaders, or “four heroes of mine,” as he described them — Raquel Urtasun of Waabi, Brendan Frey of Deep Genomics, University of Toronto Professor Alan Aspuru-Guzik and Aiden Gomez of Cohere — highlighted both Canada’s enormous contributions and its growing capability as a leader in AI.

“Each one of you,” Huang remarked, addressing the panelists and noting that every one of them is affiliated with the University of Toronto, “are doing foundational work in some of the largest industries in the world.”

“Let’s seize the moment,” Champagne said as he kicked off the panel discussion. “We need to move from fear to opportunity to build trust so that people understand what AI can do for them.”

“It’s about inspiring young researchers to continue to do research here in Canada and about creating opportunities for them after they graduate to be able to start companies here,” Huang said.

The panelists echoed Huang’s optimism, providing insights into how AI is reshaping industries, society and technology.

Gomez, reflecting on the democratization of AI, shared his optimism for the future, stating that it’s “an exciting time to explore product space,” highlighting the vast opportunities for innovation and disruption within the AI landscape.

Cohere’s world-class large language models help enterprises build powerful, secure applications that search, understand meaning and converse in text.

Gomez said the future lies in communities of researchers and entrepreneurs able to leverage AI to bridge technological divides and foster inclusivity.

“I owe everything to this community, the people on the stage and in this room,” he said, acknowledging the collaborative spirit that fuels innovation in AI technologies.

Urtasun highlighted the imperative of safety in autonomous technology as a non-negotiable standard, emphasizing its role in saving lives and shaping the future of transportation.

“Safety should not be proprietary. This technology is a driver, and it’s going to save so many lives,” she said.

Frey underscored the transformative impact of AI in RNA biology. He said that, while “it’s taken quite a bit of time,” at Deep Genomics, he and his colleagues have built the world’s first foundation model for RNA biology, envisioning a future where drug discovery is accelerated, bringing life-saving therapies to market more efficiently.

“If we’re highly successful, best-case scenario, it means that we will be able to design molecules that are safe, and highly efficacious, without doing any cell model studies without doing any animal studies … and getting drugs that save our loved ones rapidly and safely,” Frey said.

Aspuru-Guzik pointed to the fusion of AI with quantum computing and materials science as a frontier for sustainable solutions, emphasizing the importance of creating a conducive environment for innovation in Canada.

“We want to build it here in Canada,” he said.

His work exemplifies the potential of AI to accelerate the development of new materials, driving forward a sustainable future.

Together, these visions articulate a future where AI enhances societal well-being, drives scientific advancement and fosters an inclusive, global community of innovation.

“AI is about the greatest opportunity to close the technology divide and be inclusive, for everybody to enjoy the technology revolution,” Huang said.

For more on the fast-growing impact of AI across the globe, visit NVIDIA’s AI nations hub. 

Featured image credit: Christian Raul Hernandez, Creative Commons Attribution-Share Alike 4.0 International license.

A new study underscores the potential of AI and accelerated computing to deliver energy efficiency and combat climate change, efforts in which NVIDIA has long been deeply engaged.

The study, called “Rethinking Concerns About AI’s Energy Use,” provides a well-researched examination into how AI can — and in many cases already does — play a large role in addressing these critical needs.

Citing dozens of sources, the study from the Information Technology and Innovation Foundation (ITIF), a Washington-based think tank focused on science and technology policy, calls for governments to accelerate adoption of AI as a significant new tool to drive energy efficiency across many industries.

AI can help “reduce carbon emissions, support clean energy technologies, and address climate change,” it said.

How AI Drives Energy Efficiency

The report documents ways machine learning is already helping many sectors reduce their impact on the environment.

For example, it noted:

• Farmers are using AI to lessen their use of fertilizer and water.
• Utilities are adopting it to make the electric grid more efficient.
• Logistics operations use it to optimize delivery routes, reducing the fuel consumption of their fleets.
• Factories are deploying it to reduce waste and increase energy efficiency.

In these and many other ways, the study argues that AI advances energy efficiency. So, it calls on policymakers “to ensure AI is part of the solution, not part of the problem, when it comes to the environment.”

It also recommends adopting AI broadly across government agencies to “help the public sector reduce carbon emissions through more efficient digital services, smart cities and buildings, intelligent transportation systems, and other AI-enabled efficiencies.”

Reviewing the Data on AI

The study’s author, Daniel Castro, saw in current predictions about AI a repeat of exaggerated forecasts that emerged during the rise of the internet more than two decades ago.

“People extrapolate from early studies, but don’t consider all the important variables including improvements you see over time in digitalization like energy efficiency,” said Castro, who leads ITIF’s Center for Data Innovation.

“The danger is policymakers could miss the big picture and hold back beneficial uses of AI that are having positive impacts, especially in regulated areas like healthcare,” he said.

“For example, we’ve had electronic health records since the 1980s, but it took focused government investments to get them deployed,” he added. “Now AI brings big opportunities for decarbonization across the government and the economy.”

Optimizing Efficiency Across Data Centers

Data centers of every size have a part to play in maximizing their energy efficiency with AI and accelerated computing.

For instance, NVIDIA’s AI-based weather-prediction model, FourCastNet, is about 45,000x faster and consumes 12,000x less energy to produce a forecast than current techniques. That promises efficiency boosts for supercomputers around the world that run continuously to provide regional forecasts, Bjorn Stevens, director of the Max Planck Institute for Meteorology, said in a blog.

Overall, data centers could save a whopping 19 terawatt-hours of electricity a year if all AI, high performance computing and networking offloads were run on GPU and DPU accelerators instead of CPUs, according to NVIDIA’s calculations. That’s the equivalent of the energy consumption of 2.9 million passenger cars driven for a year.

Last year, the U.S. Department of Energy’s lead facility for open science documented its advances with accelerated computing.

Using NVIDIA A100 Tensor Core GPUs, energy efficiency improved 5x on average across four key scientific applications in tests at the National Energy Research Scientific Computing Center. An application for weather forecasting logged gains of nearly 10x.

AI, Accelerated Computing Advance Climate Science

The combination of accelerated computing and AI is creating new scientific instruments to help understand and combat climate change.

In 2021, NVIDIA announced Earth-2, an initiative to build a digital twin of Earth on a supercomputer capable of simulating climate on a global scale. It’s among a handful of similarly ambitious efforts around the world.

An example is Destination Earth, a pan-European project to create digital twins of the planet, that’s using accelerated computing, AI and “collaboration on an unprecedented scale,” said the project’s leader, Peter Bauer, a veteran with more than 20 years at Europe’s top weather-forecasting center.

Experts in the utility sector agree AI is key to advancing sustainability.

“AI will play a crucial role maintaining stability for an electric grid that’s becoming exponentially more complex with large numbers of low-capacity, variable generation sources like wind and solar coming online, and two-way power flowing into and out of houses,” said Jeremy Renshaw, a senior program manager at the Electric Power Research Institute, an independent nonprofit that collaborates with more than 450 companies in 45 countries, in a blog.

Learn more about sustainable computing as well as NVIDIA’s commitment to use 100% renewable energy starting in fiscal year 2025. And watch the video below for more on how AI is accelerating efforts to combat climate change.

GeForce NOW is celebrating its fourth anniversary all month — plus an extra day for leap year — during February’s GFN Thursdays, with 2 new games joining the cloud. Keep an eye out for more new games and other announcements for members to come.

Diablo IV and Overwatch 2 heat up the cloud this GFN Thursday to kick off the anniversary celebrations. They’re the next Activision and Blizzard games to join GeForce NOW as part of the NVIDIA and Microsoft partnership, following Call of Duty.

The titles join the RAGE franchise as part of five new games joining the ever-expanding GeForce NOW library this week.

Follow the #4YearsofGFN celebration and get the latest cloud gaming news on the newly launched GeForce NOW Instagram and Threads channels. Use #GFNShare and tag these accounts for a chance to be featured.

Oh, Heck

Join the fight to protect the world of Sanctuary in the highly acclaimed online action role-playing game Diablo IV with the power of a GeForce RTX 4080 gaming rig in the cloud. Members can look forward to playing the Steam version, with support for the Battle.net launcher coming soon.

The battle between the High Heavens and Burning Hells rages on as chaos threatens to consume Sanctuary. Create customized characters and choose between five classes: Barbarian, Druid, Necromancer, Rogue and Sorcerer. Each features unique skills and talents to help in battle.

Jump into the dark, thrilling campaign solo or with friends. Explore a shared open world where players can form parties to take down World Bosses, or join the fray in player vs. player zones to test skills against others. Explore and loot over 120 monster-filled dungeons, and clear out Strongholds to use as safe havens for Sanctuary citizens.

Ultimate members can stand triumphant at up to 4K resolution and 120 frames per second with support for NVIDIA DLSS technology and experience the action even on low-powered devices.

Be a Hero

Team up and answer the call of heroes in Overwatch 2, streaming today on GeForce NOW. Members can look forward to playing the Steam version, with support for the Battle.net launcher coming soon.

Overwatch 2 features 30+ epic heroes, each with game-changing abilities. Battle across all-new maps and modes in this ultimate team-based game. Lead the charge, ambush enemies or aid allies as one of Overwatch’s distinct heroes. Join the battle across dozens of futuristic maps inspired by real-world locations, and master unique game modes in the always-on, ever-evolving, live game.

Ultimate members can join the action with support for 4K and ultra-low latency. It’s the perfect upgrade for teammates on low-powered devices, ensuring everyone’s playing at heroic quality.

Rage Out

Get ready for action with this week’s five new additions, including the RAGE series:

• Bang-On Balls: Chronicles (Steam)
• Diablo IV (Steam)
• Overwatch 2 (Steam)
• RAGE (Steam)
• RAGE 2 (Steam, Epic Games Store, Xbox and available on PC Game Pass)

And check out what’s coming throughout the rest of the month:

• Stormgate (Demo on Steam, available Feb. 5-12 during Steam Next Fest)
• The Inquisitor (New release on Steam, Feb. 8)
• Banishers: Ghosts of New Eden (New release on Steam, Feb. 13)
• Solium Infernum (New release on Steam, Feb. 14)
• Skull and Bones (New release on Ubisoft, Feb. 16)
• The Thaumaturge (New release on Steam, Feb. 20)
• Myth of Empires (New re-release on Steam, Feb. 21)
• Terminator: Dark Fate – Defiance (New release on Steam, Feb. 21)
• Nightingale (New release on Steam, Feb. 22)
• Garden Life: A Cozy Simulator (New release on Steam, Feb. 22)
• Pacific Drive (New release on Steam, Feb. 22)
• STAR WARS: Dark Forces Remaster (New release on Steam, Feb. 28)
• Welcome to ParadiZe (New release on Steam, Feb. 29)
• Aragami 2 (Xbox, available on Microsoft Store)
• dotAGE (Steam)
• Fort Solis (Steam)
• Katamari Damacy REROLL (Steam)
• Klonoa Phantasy Reverie Series (Steam)
• PAC-MAN MUSEUM+ (Steam)
• PAC-MAN WORLD Re-PAC (Steam)
• Tales of Arise (Steam)
• Tram Simulator Urban Transit (Steam)
• The Walking Dead: The Telltale Definitive Series (Steam)

Joyful January

In addition to the 20 games announced last month, 14 more joined the GeForce NOW library:

• Those Who Remain (New release on Xbox, available on PC Game Pass, Jan. 16)
• New Cycle (New release on Steam, Jan. 18)
• Assassin’s Creed: Valhalla (Xbox, available for PC Game Pass)
• Beacon Pines (Xbox, available on the Microsoft Store)
• Exoprimal (Steam)
• FAR: Changing Tides (Xbox, available on the Microsoft Store)
• Going Under (Xbox, available on the Microsoft Store)
• Metal: Hellsinger (Xbox, available on the Microsoft Store)
• Road 96: Mile 0 (Xbox, available on the Microsoft Store)
• The Talos Principle 2 (Epic Games Store)
• TUNIC (Xbox, available for PC Game Pass)
• Turbo Golf Racing (Xbox, available for PC Game Pass)
• Turnip Boy Commits Tax Evasion (Xbox, available on the Microsoft Store)
• Zombie Army 4: Dead War (Xbox, available for PC Game Pass)

Discussions with Spike Chunsoft have confirmed that the publisher’s games will remain on GeForce NOW. Members can continue to stream these titles from the cloud:

• 428 Shibuya Scramble
• AI: The Somnium Files
• Conception PLUS: Maidens of the Twelve Stars
• Danganronpa: Trigger Happy Havoc
• Danganronpa 2: Goodbye Despair
• Danganronpa V3: Killing Harmony
• Danganronpa Another Episode: Ultra Despair Girls
• Fire Pro Wrestling World
• Re: ZERO – Starting Life in Another World – The Prophecy of the Throne
• RESEARCH and DESTROY
• Shiren the Wanderer: The Tower of Fortune and the Dice of Fate
• STEINS;GATE
• Zanki Zero: Last Beginning
• Zero Escape: The Nonary Games

What are you looking forward to streaming? Let us know on X or in the comments below.

Who’s tryna be a hero in the cloud?

— NVIDIA GeForce NOW (@NVIDIAGFN) January 31, 2024

Asia’s lion city is roaring ahead in AI.

Singtel, a leading communications services provider based in Singapore, will bring the NVIDIA AI platform to businesses in the island nation and beyond.

The mobile and broadband company is building energy-efficient data centers across Southeast Asia accelerated with NVIDIA Hopper architecture GPUs and using NVIDIA AI reference architectures proven to deliver optimal performance.

The data centers will serve as sovereign national resources — AI factories that process the private datasets of companies, startups, universities and governments safely on shore to produce valuable insights.

Singtel’s first AI services will spin up in Singapore, with future data centers under construction in Indonesia and Thailand. From its hub in Singapore, the company has operations that stretch from Australia to India.

Trusted Engines of AI

The new data centers will act as trusted engines of generative AI. The most transformative technology of our time, generative AI and its ability to amplify human intelligence and productivity are attracting users worldwide.

Nations are creating large language models tuned to their local dialects, cultures and practices. Singtel sits at the center of such opportunities among Southeast Asia’s vibrant Chinese, Indian, Malay and other communities.

Singtel’s initiative supports Singapore’s national AI strategy to empower its citizens with the latest technology. The plan calls for significantly expanding the country’s compute infrastructure as well as its talent pool of machine learning specialists.

For businesses in the region, having a known, local provider of these computationally intensive services provides a safe, easy on-ramp to generative AI. They can enhance and personalize their products and services while protecting sensitive corporate data.

Taking the Green Path

Singtel is committed to democratizing AI and decarbonizing its operations.

Its latest data centers are being built with an eye to sustainability, including in the selection of materials and use of liquid cooling. They adopt best practices to deliver less than 1.3 in PUE, the power usage effectiveness metric for data center efficiency.

Singtel will use its Paragon software platform to orchestrate how the new AI applications work in concert with its mobile and broadband services. The combination will enable edge computing services like powering robots and other autonomous systems from AI models running in the cloud.

A Full-Stack Foundation

The company will offer its customers NVIDIA AI Enterprise, a software platform for building and deploying AI applications, including generative AI. Singtel will also be an NVIDIA Cloud Partner, delivering optimized AI services on the NVIDIA platform.

Because Singtel’s data centers use NVIDIA’s proven reference architectures for AI computing, users can employ its services, knowing they’re optimized for leading AI performance.

Singtel already has hands-on experience delivering edge services with NVIDIA AI.

Last May, it demonstrated a digital avatar created with the NVIDIA Omniverse and NVIDIA NeMo platforms that users could interact with over its 5G network. And in 2021, Singtel delivered GPU services as part of a testbed for local government agencies.

New AI Role for Telcos

Singapore’s service provider joins pioneers in France, India, Italy and Switzerland deploying AI factories that deliver generative AI services with data sovereignty.

To learn more about how Singtel and other telcos are embracing generative AI, register for a session on the topic at NVIDIA GTC. The global AI conference runs March 18-21, starting with a keynote by NVIDIA founder and CEO Jensen Huang.

Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. We’re also deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically accelerate content creation.

This week’s featured In the NVIDIA Studio 3D artist Brandon Tieh puts his artistic talents on full display with his whimsical scene Magic Valley.

An array of colors — from bright crimson to hushed blues and lush greens — help set the mood of the vivid scene, which took inspiration from Tieh’s love for video games, anime and manga.

His diverse pieces — along with the works of fellow Studio artists like Christian Dimitrov, Vera Dementchouk and Eddie Mendoza — take audiences to fantastical getaways in the latest Studio Standouts video.

To fuel creative work, the new GeForce RTX 4080 SUPER is available starting tomorrow in a limited Founders Edition design and as custom boards from partners, starting at $999. It’s equipped with more 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. The video editing app Blackmagic Design’s DaVinci Resolve accelerates AI effects over 30% faster than the GeForce RTX 3080 Ti.

The RTX 4080 SUPER also brings great frame rates and stunning 4K resolution in fully ray-traced games, including Alan Wake 2, Cyberpunk 2077: Phantom Liberty and Portal with RTX. Discover what RTX 40 SUPER Series graphics cards and systems are available.

Stepping Into Magical Worlds

Tieh’s scene began as a sketch of what he envisioned to be a giant door in a grassy field.

“A very broad and abstract thought — but that’s sort of the point of fantasy,” he explained.

To bring it to life, he began by gathering assets such as rocks and grass from Quixel Megascans, the Unreal Engine Marketplace and ArtStation Marketplace.

The door required extra customization, so he modeled one from scratch, first sculpting it in ZBrush before importing it into Adobe 3D Substance Painter for a quick texture pass. Tieh’s GeForce RTX graphics card used RTX-accelerated light and ambient occlusion to bake assets in mere seconds.

Next, Tieh tackled modeling the obelisks and pillars in Blender, where RTX-accelerated OptiX ray tracing in the viewport ensured highly interactive, photorealistic rendering.

He then unwrapped his 3D assets onto a 2D plane, where he applied textures to the model’s surfaces to enhance realism — a key process called UV unwrapping.

With the textured assets in place, Tieh next built the scene in Unreal Engine. His technique involves focusing on the big shapes by looking at the scene in a smaller thumbnail view, then flipping the canvas to refresh his perspective — very similar to the approach concept artists use. He adjusted lighting by deploying the same technique.

Unreal Engine users can tap NVIDIA DLSS Super Resolution to increase the interactivity of the viewport by using AI to upscale frames rendered at lower resolution, and enhance image quality using DLSS Ray Reconstruction.

Fog is another major component of the scene. “Fog is generally darker and more opaque in the background and becomes lighter and more translucent as it approaches the foreground,” said Tieh. He primarily used fog cards in Unreal Engine’s free Blueprints Visual Scripting system to add a paint-like effect.

The majority of lighting was artificial, meaning Tieh had to use a significant number of individually placed light sources, but “it looks very believable if executed well,” he explained.

From there, Tieh exported final renders with ease and speed thanks to his RTX GPU.

“There’s no secret tricks or fancy engine features,” said Tieh. “It’s all about sticking to the basics and fundamentals of art, as well as trusting your own artistic eye.”

Check out Tieh’s impressive portfolio on ArtStation.

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

Hip disorders, comprising some of the world’s most common joint diseases, are especially prevalent among adolescents and young adults, causing stiffness, pain or a limp. But they can be hard to diagnose using solely 2D medical imaging.

Helping to treat these disorders, the Boston Children’s Hospital’s (BCH’s) Adolescent and Young Adult Hip Preservation Program is the U.S.’s first to deploy a fully automated AI tool across its clinic.

Called VirtualHip, the tool can create a 3D model of a hip from routine medical images, assess anatomy and movement-related issues, and provide clinicians with diagnostic and treatment guidance. It was built at an orthopedic research lab at BCH, Harvard Medical School’s primary pediatric hospital, using the NVIDIA DGX platform.

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant, including engineers, computer scientists, orthopedic surgeons, radiologists and software developers.

“Using AI, clinicians can get more value out of the clinical data they routinely collect,” said Dr. Ata Kiapour, the lab’s principal investigator, director of the musculoskeletal informatics group at BCH and assistant professor of orthopedic surgery at Harvard Medical School. “This tool can augment their performance to make better choices in diagnosis and treatment, and free their time to focus on giving patients the best care.”

Getting Straight to the Joint

Often, clinicians must determine a treatment plan — with levels of intervention ranging from physical therapy to total hip replacement — based on just a 2D image, such as an X-ray, CT scan or MRI. Automatically creating 3D models from these images, and using them to conduct comprehensive joint assessments, can help improve the accuracy of diagnosis to inform treatment planning.

“I started a postdoc with an orthopedic surgeon at BCH in 2013, when I saw how an engineer or scientist could help with patient treatment,” said Dr. Kiapour, who’s also trained as a biomedical engineer. “Over the years, I saw that hospitals have a ton of data, but efficient data processing for clinical use was a huge, unmet need.”

VirtualHip, fully integrated with BCH’s hip clinic and radiology database, helps to fill this gap.

Clinicians can log in to the software tool through a web-based portal, view and interact with 3D simulations of 2D medical images, submit analysis requests and see results within an hour — 4x quicker on average than receiving a radiology report after imaging.

The tool, which produces 3D models with a margin of error less than one millimeter, can assess morphological abnormalities and identify issues related to hip motion, such as pain from hip bones rubbing against each other.

VirtualHip was developed using a database with tens of millions of clinical notes and imaging data from patients seen at BCH over the past two decades. Using natural language processing models and computer vision algorithms, Dr. Kiapour’s team processed this data, training the tool to analyze normal versus pathologic hip development and identify factors influencing the injury risk and treatment outcomes.

This will enable VirtualHip to offer patient-specific risk assessment and treatment planning by comparing current patients to previously treated ones with similar demographic backgrounds.

“The hardware support that we got from NVIDIA made all of this possible,” Dr. Kiapour said. “DGX enabled advanced computations on more than 20 years’ worth of historical data for our fine-tuned clinical AI model.”

Clearer Explanations, Better Outcomes for Patients

In addition to assisting doctors in diagnosis and treatment planning, VirtualHip helps patients better understand their condition.

“When patients look at an X-ray, it doesn’t look like a real hip — but with a 3D model that can be rotated, the doctor can show exactly where the joints are impinging or unstable,” Dr. Kiapour said. “This lets the patient better understand their disorder, which usually makes them more compliant with whatever the doctor’s prescribing.”

This type of visualization is especially helpful for children and younger adults, Kiapour added.

The VirtualHip project is under continuous development, including work toward a patient-facing platform — using large language models and generative AI — for personalized analyses and treatment recommendations.

The BCH researchers plan to commercialize the product for use in other hospitals.

Subscribe to NVIDIA healthcare news.

This GFN Thursday levels up PC gaming on mobile with higher-resolution support on Android devices.

This week also brings 10 new games to the GeForce NOW library, including Enshrouded. 

Pixel Perfect

GeForce NOW transforms nearly any device into a high-powered PC gaming rig, and members streaming on Android can now access that power from the palms of their hands. The GeForce NOW Android app, rolling out now to members, unlocks a new level of visual quality for Ultimate members gaming on mobile, with improved support for streaming up to 1440p resolution at 120 frames per second.

Explore the vibrant neon landscapes of Cyberpunk 2077, stream triple-A titles like Baldur’s Gate 3 and Monster Hunter: World, and play the latest releases in the cloud, including Prince of Persia: The Lost Crown and Exoprimal — all on the go with higher resolutions for more immersive gameplay.

Ultimate members can stream these and over 1,800 titles from the GeForce NOW library on select 120Hz Android phones and tablets at pixel-perfect quality. Plus, they can take gameplay even further with eight-hour sessions and tap GeForce RTX 4080-powered servers for faster access to their gaming libraries.

Sign up for an Ultimate membership today and check out this article for more details on how to set up Android devices for PC gaming on the go.

Got Games?

Lead a team of specialists through a story-driven campaign set in the SG-1 universe of Stargate: Timekeepers from Slitherine Ltd. Sneak characters behind enemy lines, use their unique skills, craft the perfect plan to unravel a time-loop mystery, and defeat the Goa’uld threat. It’s available to stream from the cloud this week.

More titles joining the cloud this week include:

• Stargate: Timekeepers (New release on Steam, Jan. 23)
• Enshrouded (New release on Steam, Jan. 24)
• Firefighting Simulator – The Squad (Steam)
• Metal: Hellsinger (Xbox, available on the Microsoft Store)
• Road 96: Mile 0 (Xbox, available on the Microsoft Store)
• Shadow Tactics: Blades of the Shogun (Steam)
• Shadow Tactics: Blades of the Shogun – Aiko’s Choice (Steam)
• Solasta: Crown of the Magister (Steam)
• Tails Noir (Xbox, available on the Microsoft Store)
• Wobbly Life (Steam)

Games from Spike Chunsoft will be removed from the GeForce NOW library at the request of the publisher. Fourteen titles are leaving on Friday, Feb. 2, so be sure to catch them before they go:

• 428 Shibuya Scramble
• AI: The Somnium Files
• Conception PLUS: Maidens of the Twelve Stars
• Danganronpa: Trigger Happy Havoc
• Danganronpa 2: Goodbye Despair
• Danganronpa V3: Killing Harmony
• Danganronpa Another Episode: Ultra Despair Girls
• Fire Pro Wrestling World
• Re: ZERO – Starting Life in Another World – The Prophecy of the Throne
• RESEARCH and DESTROY
• Shiren the Wanderer: The Tower of Fortune and the Dice of Fate
• STEINS;GATE
• Zanki Zero: Last Beginning
• Zero Escape: The Nonary Games

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

oh, you dropped this:

— NVIDIA GeForce NOW (@NVIDIAGFN) January 24, 2024

In a major stride toward building a shared national research infrastructure, the U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot program with significant support from NVIDIA.

The initiative aims to broaden access to the tools needed to power responsible AI discovery and innovation. It was announced Wednesday in partnership with 10 other federal agencies as well as private-sector, nonprofit and philanthropic organizations.

“The breadth of partners that have come together for this pilot underscores the urgency of developing a National AI Research Resource for the future of AI in America,” said NSF Director Sethuraman Panchanathan. “By investing in AI research through the NAIRR pilot, the United States unleashes discovery and impact and bolsters its global competitiveness.”

NVIDIA’s commitment of $30 million in technology contributions over two years is a key factor in enlarging the scale of the pilot, fueling the potential for broader achievements and accelerating the momentum toward full-scale implementation.

“The NAIRR is a vision of a national research infrastructure that will provide access to computing, data, models and software to empower researchers and communities,” said Katie Antypas, director of the Office of Advanced Cyberinfrastructure at the NSF.

“Our primary goals for the NAIRR pilot are to support fundamental AI research and domain-specific research applying AI, reach broader communities, particularly those currently unable to participate in the AI innovation ecosystem, and refine the design for the future full NAIRR,” Antypas added.

Accelerating Access to AI

“AI is increasingly defining our era, and its potential can best be fulfilled with broad access to its transformative capabilities,” said NVIDIA founder and CEO Jensen Huang.

“Partnerships are really at the core of the NAIRR pilot,” said Tess DeBlanc-Knowles, NSF’s special assistant to the director for artificial intelligence.

“It’s been incredibly impressive to see this breadth of partners come together in these 90 days, bringing together government, industry, nonprofits and philanthropies,” she added. “Our industry and nonprofit partners are bringing critical expertise and resources, which are essential to advance AI and move forward with trustworthy AI initiatives.”

NVIDIA’s collaboration with scientific centers aims to significantly scale up educational and workforce training programs, enhancing AI literacy and skill development across the scientific community.

NVIDIA will harness insights from researchers using its platform, offering an opportunity to refine and enhance the effectiveness of its technology for science, and supporting continuous advancement in AI applications.

“With NVIDIA AI software and supercomputing, the scientists, researchers and engineers of the extended NSF community will be able to utilize the world’s leading infrastructure to fuel a new generation of innovation,” Huang said.

The Foundation for Modern AI

Accelerating both AI research and research done with AI, NVIDIA’s contributions include NVIDIA DGX Cloud AI supercomputing resources and NVIDIA AI Enterprise software.

Offering full-stack accelerated computing from systems to software, NVIDIA AI provides the foundation for generative AI, with significant adoption across research and industries.

Broad Support Across the US Government

As part of this national endeavor, the NAIRR pilot brings together a coalition of government partners, showcasing a unified approach to advancing AI research.

Its partners include the U.S. National Science Foundation, U.S. Department of Agriculture, U.S. Department of Energy, U.S. Department of Veterans Affairs, National Aeronautics and Space Administration, National Institutes of Health, National Institute of Standards and Technology, National Oceanic and Atmospheric Administration, Defense Advanced Research Projects Agency, U.S. Patent and Trade Office and the U.S. Department of Defense.

The NAIRR pilot builds on the United States’ rich history of leading large-scale scientific endeavors, such as the creation of the internet, which, in turn, led to the advancement of AI.

Leading in Advanced AI

NAIRR promises to drive innovations across various sectors, from healthcare to environmental science, positioning the U.S. at the forefront of global AI advancements.

The launch meets a goal outlined in Executive Order 14110, signed by President Biden in October 2023, directing NSF to launch a pilot for the NAIRR within 90 days.

The NAIRR pilot will provide access to advanced computing, datasets, models, software, training and user support to U.S.-based researchers and educators.

“Smaller institutions, rural institutions, institutions serving underrepresented populations are key communities we’re trying to reach with the NAIRR,” said Antypas. “These communities are less likely to have resources to build their own computing or data resources.”

Paving the Way for Future Investments

As the pilot expedites the proof of concept, future investments in the NAIRR will democratize access to AI innovation and support critical work advancing the development of trustworthy AI.

The pilot will initially support AI research to advance safe, secure and trustworthy AI as well as the application of AI to challenges in healthcare and environmental and infrastructure sustainability.

Researchers can apply for initial access to NAIRR pilot resources through the NSF. The NAIRR pilot welcomes additional private-sector and nonprofit partners.

Those interested are encouraged to reach out to NSF at nairr_pilot@nsf.gov.

Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. We’re also deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically accelerate content creation.

RTX Video HDR — first announced at CES — is now available for download through the January Studio Driver. It uses AI to transform standard dynamic range video playing in internet browsers into stunning high dynamic range (HDR) on HDR10 displays.

PC game modders now have a powerful new set of tools to use with the release of the NVIDIA RTX Remix open beta.

It features full ray tracing, NVIDIA DLSS, NVIDIA Reflex, modern physically based rendering assets and generative AI texture tools so modders can remaster games more efficiently than ever.

Pick up the new GeForce RTX 4070 Ti SUPER available from custom board partners in stock-clocked and factory-overclocked configurations to enhance creating, gaming and AI tasks.

Part of the 40 SUPER Series announced at CES, it’s equipped with more CUDA cores than the RTX 4070, a frame buffer increased to 16GB, and a 256-bit bus — perfect for video editing and rendering large 3D scenes. It runs up to 1.6x faster than the RTX 3070 Ti and 2.5x faster with DLSS 3 in the most graphics-intensive games.

And this week’s featured In the NVIDIA Studio technical artist Vishal Ranga shares his vivid 3D scene Disowned — powered by NVIDIA RTX and Unreal Engine with DLSS.

RTX Video HDR Delivers Dazzling Detail

Using the power of Tensor Cores on GeForce RTX GPUs, RTX Video HDR allows gamers and creators to maximize their HDR panel’s ability to display vivid, dynamic colors, preserving intricate details that may be inadvertently lost due to video compression.

RTX Video HDR and RTX Video Super Resolution can be used together to produce the clearest livestreamed video anywhere, anytime. These features work on Chromium-based browsers such as Google Chrome or Microsoft Edge.

To enable RTX Video HDR:

1. Download and install the January Studio Driver.
2. Ensure Windows HDR features are enabled by navigating to System > Display > HDR.
3. Open the NVIDIA Control Panel and navigate to Adjust video image settings > RTX Video Enhancement — then enable HDR.

Standard dynamic range video will then automatically convert to HDR, displaying remarkably improved details and sharpness.

RTX Video HDR is among the RTX-powered apps enhancing everyday PC use, productivity, creating and gaming. NVIDIA Broadcast supercharges mics and cams; NVIDIA Canvas turns simple brushstrokes into realistic landscape images; and NVIDIA Omniverse seamlessly connects 3D apps and creative workflows. Explore exclusive Studio tools, including industry-leading NVIDIA Studio Drivers — free for RTX graphics card owners — which support the latest creative app updates, AI-powered features and more.

RTX Video HDR requires an RTX GPU connected to an HDR10-compatible monitor or TV. For additional information, check out the RTX Video FAQ.

Introducing the Remarkable RTX Remix Open Beta

Built on NVIDIA Omniverse, the RTX Remix open beta is available now.

It 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.

RTX Remix has already delivered stunning remasters, such as Portal with RTX and the modder-made Portal: Prelude RTX. Orbifold Studios is now using the technology 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 gameplay trailer, showcasing Orbifold Studios’ latest updates to Ravenholm:

Learn more about the RTX Remix open beta and sign up to gain access.

Leveling Up With RTX

Vishal Ranga has a decade’s worth of experience in the gaming industry, where he pursues level design.

“I’ve loved playing video games since forever, and that curiosity led me to game design,” he said. “A few years later, I found my sweet spot in technical art.”

His stunning scene Disowned was born out of experimentation with Unreal Engine’s new ray-traced global illumination lighting capabilities.

Remarkably, he skipped the concepting process — the entire project was conceived solely from Ranga’s imagination.

Applying the water shader and mocking up the lighting early helped Ranga set up the mood of the scene. He then updated old assets and searched the Unreal Engine store for new ones — what he couldn’t find, like fishing nets and custom flags, he created from scratch.

Ranga’s GeForce RTX graphics card unlocked RTX-accelerated rendering for high-fidelity, interactive visualization of 3D designs during virtual production.

Next, he tackled shader work, blending in moss and muck into models of wood, nets and flags. He also created a volumetric local fog shader to complement the assets as they pass through the fog, adding greater depth to the scene.

Ranga then polished everything up. He first used a water shader to add realism to reflections, surface moss and subtle waves, then tinkered with global illumination and reflection effects, along with other post-process settings.

Ranga used Unreal Engine’s internal high-resolution screenshot feature and sequencer to capture renders. This was achieved by cranking up screen resolution to 200%, resulting in crisper details.

Throughout, DLSS enhanced Ranga’s creative workflow, allowing for smooth scene movement while maintaining immaculate visual quality.

When finished with adjustments, Ranga exported the final scene in no time thanks to his RTX GPU.

Ranga encourages budding artists who are excited by the latest creative advances but wondering where to begin to “practice your skills, prioritize the basics.”

“Take the time to practice and really experience the highs and lows of the creation process,” he said. “And don’t forget to maintain good well-being to maximize your potential.”

Check out Ranga’s portfolio on ArtStation.

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