Posts in category: nVidia AI

Time to suit up, members. The multiverse is about to get a whole lot cloudier as GeForce NOW opens a portal to the first season of hit game Marvel Rivals from NetEase Games.

Members can now game in a new dimension with expanded support for virtual- and mixed-reality devices. This week’s GeForce NOW app update 2.0.70 begins rolling out compatibility for Apple Vision Pro spatial computers, Meta Quest 3 and 3S, and Pico 4 and 4 Ultra devices.

Plus, no GFN Thursday is complete without new games. Get ready for seven new titles joining the cloud this week, including multiplayer online battle arena game SMITE 2.

Invisible No More

Eternal night falls for Marvel Rivals, the superhero, team-based player vs. player shooter that lets players assemble an ever-evolving all-star squad of Super Heroes and Super Villains battling with unique powers across a dynamic lineup of destructible maps from the Marvel Multiverse.

The Fantastic Four will be playable in season one of the game. For Eternal Night Falls, Invisible Woman and Mister Fantastic will be released in the first half of the season, followed by Human Torch and The Thing in the second. Season one will also feature three new maps, special events and an all-new Doom Match game mode.

Stream it all with a GeForce NOW membership across devices, from an underpowered laptop, Mac devices, a Steam Deck or the supported platform of virtual- and mixed-reality devices.

Head in the Clouds

The latest GeForce NOW app update is expanding cloud streaming capabilities to Apple Vision Pro spatial computers, Meta Quest 3 and 3S, and Pico 4 and 4 Ultra virtual- and mixed-reality headsets starting this week.

These newly supported devices will give members access to an extensive library of games to stream through GeForce NOW. Members can gain access by visiting play.geforcenow.com or via the Android-native client on the PICO store. The rollout will be complete on Tuesday, Jan. 21.

Members will be able to transform their space into a personal gaming theater by playing, on massive virtual screens, their favorite PC games, such as the latest season of Marvel Rivals, Dragon Age and more. With access to NVIDIA technologies, including ray tracing and NVIDIA DLSS on supported games, these devices now provide an enhanced visual experience with the highest frame rates and lowest latency.

Here Comes The New

SMITE 2 is now free to play and has brought a huge update to mark the start of open beta. New god Aladdin joins, along with SMITE 1 fan favourites Geb, Agni, Mulan and Ullr — bringing the total god roster to 45. Twenty of the gods now feature Aspects — an optional spin on each god’s ability kit that opens up even more strategic options. The 3v3 mode Joust has also arrived, featuring a brand-new, Arthurian-themed map. Assault and Duel game modes are also available. Finally, the Conquest mode brings a wealth of updates to the map, features and balance.

• Hyper Light Breaker (New release on Steam, Jan. 14)
• Aloft (New release on Steam, Jan. 15)
• Assetto Corsa EVO (New release on Steam, Jan. 16)
• Generation Zero (Xbox, available on PC Game Pass)
• HOT WHEELS UNLEASHED 2 – Turbocharged (Xbox, available on PC Game Pass)
• SMITE 2 (Steam)
• Voidwrought (Steam)

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

Which role is your main?

Tank
Damage
Support

— NVIDIA GeForce NOW (@NVIDIAGFN) January 15, 2025

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Troves of unwatched surgical video footage are finding new life, fueling AI tools that help make surgery safer and enhance surgical education. The Surgical Data Science Collective (SDSC) is transforming global surgery through AI-driven video analysis, helping to close the gaps in surgical training and practice.

In this episode of the NVIDIA AI Podcast, Margaux Masson-Forsythe, director of machine learning at SDSC, discusses the unique challenges of doing AI research as a nonprofit, how the collective distills insights from massive amounts of video data and ways AI can help address the stark reality that five billion people still lack access to safe surgery.

Learn more about SDSC, and hear more about the future of AI in healthcare by listening to the J.P. Morgan Healthcare Conference talk by Kimberly Powell, vice president of healthcare at NVIDIA.

Time Stamps

8:01 – What are the opportunities and challenges of analyzing surgical videos?

12:50 – Masson-Forsythe on trying new models and approaches to stay on top of the field.

18:14 – How does a nonprofit approach conducting AI research?

24:05 – How the community can get involved with SDSC.

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Cofounder of Annalise.ai Aengus Tran on Using AI as a Spell Check for Health Checks

Harrison.ai has developed annalise.ai, an AI system that automates radiology image analysis to improve diagnosis speed and accuracy, and is now working on Franklin.ai to enhance histopathology diagnosis. CEO Aengus Tran emphasizes the importance of using AI in healthcare to reduce misdiagnoses and improve patient outcomes.

Matice Founder Jessica Whited on Harnessing Regenerative Species for Medical Breakthroughs 

Scientists at Matice Biosciences, cofounded by regenerative biologist Jessica Whited, are using AI to study the tissue regeneration capabilities of animals like salamanders and planarians, with the goal of developing treatments to help humans heal from injuries without scarring.

Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI

Caristo Diagnostics has developed an AI-powered solution called Caristo that detects coronary inflammation in cardiac CT scans by analyzing radiometric features in the surrounding fat tissue, helping physicians improve treatment plans and risk predictions.

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Quantum computing is one of the most exciting areas in computer science, promising progress in accelerated computing beyond what’s considered possible today.

It’s expected that the technology will tackle myriad problems that were once deemed impractical, or even impossible to solve. Quantum computing promises huge leaps forward for fields spanning drug discovery and materials development to financial forecasting.

But just as exciting as quantum computing’s future are the breakthroughs already being made today in quantum hardware, error correction and algorithms.

NVIDIA is celebrating and exploring this remarkable progress in quantum computing by announcing its first Quantum Day at GTC 2025 on March 20. This new focus area brings together leading experts for a comprehensive and balanced perspective on what businesses should expect from quantum computing in the coming decades — mapping the path toward useful quantum applications.

Discussing the state of the art in quantum computing, NVIDIA founder and CEO Jensen Huang will share the stage with executives from industry leaders, including:

• Alice & Bob
• Atom Computing
• D-Wave
• Infleqtion
• IonQ
• Pasqal
• PsiQuantum
• Quantinuum
• Quantum Circuits
• QuEra Computing
• Rigetti
• SEEQC

Learn About Quantum Computing at NVIDIA GTC 

Quantum Day will feature:

• Sessions exploring what’s possible and available now in quantum computing, and where quantum technologies are headed, hosted by Huang and representatives from across the quantum community.
• A developer day session outlining how partners are working with NVIDIA to advance quantum computing.
• Educational sessions providing attendees with hands-on training on how to use the most advanced tools to explore and develop quantum hardware and applications.
• A Quantum Day special address, unveiling the latest news and advances from NVIDIA in quantum computing shortening the timeline to useful applications.

Quantum Day at GTC 2025 is the destination for leaders and experts seeking to chart a course into the future of quantum computing.

Register for GTC.

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AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care.

In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took the stage with industry leaders progressing each of these areas to advance biomedical science and meet the global demand for patient care.

Healthcare has a more severe labor shortage than any other field — the industry is expected to be short 10 million workers by the end of the decade, according to the World Health Organization. By deploying foundation models to narrow the field of potential drug molecules and streamlining workflows with agentic AI, these innovators are helping meet the global demand by enabling clinicians and researchers to achieve more with their limited time.

They include industry luminaries Patrick Collison, cofounder of Stripe and the Arc Institute nonprofit research organization; Christina Zorn, chief administrative officer at Mayo Clinic; Jacob Thaysen, CEO of DNA sequencing technology leader Illumina; and Ari Bousbib, chairman and CEO of clinical research and commercial services provider IQVIA.

The four organizations at J.P. Morgan Healthcare announced partnerships with NVIDIA to advance drug discovery, accelerate pathology, enhance genomic research and augment healthcare with agentic AI, respectively.

AI’s Evolution, From Predicting to Reasoning

Huang opened the event by reflecting on the tremendous progress in AI over the past year, spanning large language models, visual generative AI and physical AI for robotics — and outlining a vision for a future involving agentic AI models that are capable of reasoning and problem-solving.

“The future of AI is likely to involve a fair amount of thinking,” he said. “The ability for AI to now reason, plan and act is foundational to the way we’re going to go forward.”

To support the development of these AI models, NVIDIA recently unveiled NVIDIA Cosmos, a physical AI platform that includes state-of-the art generative world foundation models. These models apply the same technique as a language model that predicts the next word in a sentence — instead predicting the next action a robot should take.

“The idea that you can generate the next frame for a video has become common sense,” Huang said. “And if that’s the case, is it possible that generating the next articulation could be common sense? And the answer is absolutely.”

AI for Every Modality

Channeling a late-night talk show host, Huang called up the guest speakers one by one to discuss their work accelerating biomedical research with AI innovation.

First up was Collison, who shared the Arc Institute’s mission to help researchers tackle long-term scientific challenges by providing multiyear funding that enables them to focus on innovative research instead of grant writing — which he believes will spur breakthroughs that are unfeasible to pursue under today’s funding models.

“A lot of the low-hanging fruit, the stuff that is easier to discover, we did,” Collison said, referring to the development of groundbreaking treatments like antibiotics, chemotherapy and more in decades past. “Today, it’s immensely harder.”

Already, Arc Institute’s investments have resulted in Evo, a powerful foundation model that understands the languages of DNA, RNA and proteins. The institute is now working with NVIDIA on foundation models for biology that can advance applications for drug discovery, synthetic biology across multiple scales of complexity, disease and evolution research, and more.

Next, Mayo Clinic’s Zorn shared how the research hospital is applying NVIDIA technology to one of the world’s largest pathology databases to transform cancer care with AI insights.

“We saw a paradigm shift in healthcare. You’re either going to disrupt from within or you’re going to be disrupted,” she said. “We knew we had to embrace tech in a way that was really going to optimize everything we do.”

Zorn also shared how Mayo Clinic is approaching the future healthcare worker shortage by investing in robotics.

“We’re going to use, essentially, the robots to be a member of the healthcare team in the healthcare spaces,” she said.

The evening wrapped with two leaders in healthcare information reflecting on ways multimodal AI models can uncover insights and streamline processes to boost the capabilities of human experts.

“Combining other information, other modalities, other ‘omics’…is going to give us much deeper insight into biology. But while DNA was very difficult itself, when you then combine all the omics, it becomes exponentially more challenging,” said Illumina’s Thaysen. “It’s getting so complicated that we do need huge computing power and AI to really understand and process it.”

IQVIA is working with NVIDIA to build custom foundation models and agentic AI workflows trained on the organization’s vast healthcare-specific information and deep domain expertise. Use cases include boosting the efficiency of clinical trials and optimizing planning for the launch of therapies and medical devices.

The company is committed to using AI responsibly, ensuring that its AI-powered capabilities are grounded in privacy, regulatory compliance and patient safety.

“The opportunity here is to try to reduce the dependencies and sequential series of steps that require a lot of interactions, and handle them without human touch,” said Bousbib.  “AI agents will be able to eliminate the white space, that is, the time waiting for humans to complete those tasks. There’s a great opportunity to reduce time and costs.”

NVIDIA at J.P. Morgan Healthcare

The fireside chat followed a presentation at the conference by Kimberly Powell, NVIDIA’s vice president of healthcare. In her talk, Powell discussed the industry collaborations and announced new resources for healthcare and life sciences developers.

These include an NVIDIA NIM microservice for GenMol, a generative AI model for controlled, high-performance molecular generation — and an NVIDIA BioNeMo Blueprint for protein binder design, part of the NVIDIA Blueprints collection of enterprise-grade reference workflows for agentic and generative AI use cases.

For more from NVIDIA at the J.P. Morgan Healthcare Conference, listen to the audio recording of Powell’s session.

Subscribe to NVIDIA healthcare news.

Main image above features, from left to right, Illumina’s Jacob Thaysen, Mayo Clinic’s Christina Zorn, Arc Institute’s Patrick Collison, IQVIA’s Ari Bousbib and NVIDIA’s Jensen Huang. 

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IQVIA, the world’s leading provider of clinical research services, commercial insights and healthcare intelligence, is working with NVIDIA to build custom foundation models and agentic AI workflows that can accelerate research, clinical development and access to new treatments.

AI applications trained on the organization’s vast healthcare-specific information and guided by its deep domain expertise will help the industry boost the efficiency of clinical trials and optimize planning for the launch of therapies and medical devices — ultimately improving patient outcomes.

Operating in over 100 countries, IQVIA has built the largest global healthcare network and is uniquely connected to the ecosystem with the most comprehensive and granular set of information, analytics and technologies in the industry.

Announced today at the J.P. Morgan Conference in San Francisco, IQVIA’s collection of models, AI agents and reference workflows will be developed with the NVIDIA AI Foundry platform for building custom models, allowing IQVIA’s thousands of pharmaceutical, biotech and medical device customers to benefit from NVIDIA’s agentic AI capabilities and IQVIA’s technologies, life sciences information and expertise.

Enabling Industry Applications in Clinical Trials

The healthcare and life sciences industry generates more information than any other industry in the world, making up 30% of the world’s data volume.

IQVIA plans to use its unparalleled information assets, analytics and domain expertise —  known as IQVIA Connected Intelligence — with the NVIDIA AI Foundry service to build language and multimodal foundational models that will power a collection of customized IQVIA AI agents.

These agents are anticipated to be available in predefined workflows, or blueprints, that would accomplish a specific task. This partnership aims to accelerate the innovation cycle of IQVIA Healthcare-grade AI. IQVIA has been leading in the responsible use of AI, ensuring that its AI-powered capabilities are grounded in privacy, regulatory compliance and patient safety. IQVIA Healthcare-grade AI represents the company’s commitment to these principles.

One key opportunity area is in clinical development, when clinical trials are conducted for new drugs. The overall process takes about 11 years, on average, and each trial has a multitude of workflows that could be supported by AI agents. For example, just starting a clinical trial involves site selection, participant recruitment, regulatory submissions and tight communication between study sites and their sponsors.

NVIDIA AI Foundry Streamlines Custom Model Development

To streamline the development of these AI agents, IQVIA is using tools within NVIDIA AI Foundry and the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices, especially the Llama Nemotron and Cosmos Nemotron model families; NVIDIA AI Blueprint reference workflows; the NVIDIA NeMo platform for developing custom generative AI; and dedicated capacity on NVIDIA DGX Cloud.

The NVIDIA AI Blueprint for multimodal PDF data extraction can help IQVIA unlock the immense amount of healthcare text, graphs, charts and tables stored in PDF files, bringing previously inaccessible information to train AI models and agents for domain-specific and even customer-specific applications. NVIDIA RAPIDS data science libraries then accelerate the construction of knowledge graphs.

Additional AI agents could automate complex, time-consuming tasks, like document generation and patient recruitment, allowing healthcare professionals to focus on strategic decision-making and human interaction.

Learn more about NVIDIA technologies and their impact on healthcare and life sciences.

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For decades, leadership in computing and software ecosystems has been a cornerstone of American strength and influence worldwide. The federal government has wisely refrained from dictating the design, marketing and sale of mainstream computers and software — key drivers of innovation and economic growth.

The first Trump Administration laid the foundation for America’s current strength and success in AI, fostering an environment where U.S. industry could compete and win on merit without compromising national security. As a result, mainstream AI has become an integral part of every new application, driving economic growth, promoting U.S. interests and ensuring American leadership in cutting-edge technology.

Today, companies, startups and universities around the world are tapping mainstream AI to advance healthcare, agriculture, manufacturing, education and countless other fields, driving economic growth and unlocking the potential of nations. Built on American technology, the adoption of AI around the world fuels growth and opportunity for industries at home and abroad.

That global progress is now in jeopardy. The Biden Administration now seeks to restrict access to mainstream computing applications with its unprecedented and misguided “AI Diffusion” rule, which threatens to derail innovation and economic growth worldwide.

In its last days in office, the Biden Administration seeks to undermine America’s leadership with a 200+ page regulatory morass, drafted in secret and without proper legislative review. This sweeping overreach would impose bureaucratic control over how America’s leading semiconductors, computers, systems and even software are designed and marketed globally. And by attempting to rig market outcomes and stifle competition — the lifeblood of innovation — the Biden Administration’s new rule threatens to squander America’s hard-won technological advantage.

While cloaked in the guise of an “anti-China” measure, these rules would do nothing to enhance U.S. security.  The new rules would control technology worldwide, including technology that is already widely available in mainstream gaming PCs and consumer hardware. Rather than mitigate any threat, the new Biden rules would only weaken America’s global competitiveness, undermining the innovation that has kept the U.S. ahead.

Although the rule is not enforceable for 120 days, it is already undercutting U.S. interests. As the first Trump Administration demonstrated, America wins through innovation, competition and by sharing our technologies with the world — not by retreating behind a wall of government overreach. We look forward to a return to policies that strengthen American leadership, bolster our economy and preserve our competitive edge in AI and beyond.

Ned Finkle is vice president of government affairs at NVIDIA.

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Artificial intelligence is rapidly becoming the cornerstone of innovation in the retail and consumer packaged goods (CPG) industries.

Forward-thinking companies are using AI to reimagine their entire business models, from in-store experiences to omnichannel digital platforms, including ecommerce, mobile and social channels. This technological wave is simultaneously transforming advertising and marketing, customer engagement and supply chain operations. By harnessing AI, retailers and CPG brands are not just adapting to change — they’re actively shaping the future of commerce.

NVIDIA’s second annual “State of AI in Retail and CPG” survey provides insights into the adoption, investment and impact of AI, including generative AI; the top use cases and challenges; and a special section this year examining the use of AI in the supply chain. It’s an in-depth look at the current ecosystem of AI in retail and CPG, and how it’s transforming the industries.

Drawn from hundreds of responses from industry professionals, key highlights of the survey show:

• 89% of respondents said they are either actively using AI in their operations or assessing AI projects, including trials and pilots (up from 82% in 2023)
• 87% said AI had a positive impact on increasing annual revenue
• 94% said AI has helped reduce annual operational costs
• 97% said spending on AI would increase in the next fiscal year

Generative AI in Retail Takes Center Stage

Generative AI has found a strong foothold in retail and CPG, with over 80% of companies either using or piloting projects. Companies are harnessing the technology, especially for content generation in marketing and advertising, as well as customer analysis and analytics.

Consistent with last year’s survey, over 50% of retailers believe that generative AI is a strategic technology that will be a differentiator in the market.

The top use cases for generative AI in retail include:

• Content generation for marketing (60%)
• Predictive analytics (44%)
• Personalized marketing and advertising (42%)
• Customer analysis and segmentation (41%)
• Digital shopping assistants or copilots (40%)

While some concerns about generative AI exist, specifically around data privacy, security and implementation costs, these concerns haven’t dampened retailers’ enthusiasm, with 93% of respondents saying they still plan to increase generative AI investment next year.

AI Across the Retail Landscape

AI use cases have proliferated across nearly every line of business in retail, with over 50% of retailers using AI in more than six different use cases throughout their operations.

In physical stores, the top three use cases are inventory management, analytics and insights, and adaptive advertising. For digital retail, they’re marketing and advertising content creation, and hyperpersonalized recommendations. And in the back office, the top use cases are customer analysis and predictive analytics.

AI has made a significant impact in retail and CPG, with improved insights and decision-making (43%) and enhanced employee productivity (42%) being listed as top benefits among survey respondents.

The most common AI challenge retailers faced in 2024 was a lack of easy to understand and explainable AI tools, underscoring a greater need for software and solutions — specifically around generative AI and AI agents — to enter the market to make it easier for companies to use AI solutions and understand how they work.

AI in the Supply Chain

Managing the supply chain has always been a challenge for retail and CPG companies, but it’s become increasingly difficult over the last several years due to tumultuous global events and shifting consumer preferences. Companies are feeling the pressure, with 59% of respondents saying that their supply chain challenges have grown in the last year.

Increasingly, companies are turning to AI to help address these challenges, and the impact of these AI solutions is starting to show up in results.

• 58% said AI is helping to improve operational efficiency and throughput.
• 45% are using AI to reduce supply chain costs.
• 42% are employing AI to meet shifting customer expectations.

Investment in AI for supply chain management is set to grow, with 82% of companies planning to increase spending in the next fiscal year.

As the retail and CPG industries continue to embrace the power of AI, the findings from the latest survey underscore a pivotal shift in how businesses operate in a complex new landscape. Leading companies are harnessing advanced technologies — such as AI agents and physical AI — to enhance efficiency and drive revenue, as well as to position themselves as leaders in innovation, helping redefine the future of retail and CPG.

Download the “State of AI in Retail and CPG: 2025 Trends” report for in-depth results and insights.

Explore NVIDIA’s AI solutions and enterprise-level platforms for retail.

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Driving the future of smart mobility, Hyundai Motor Group (the Group) is partnering with NVIDIA to develop the next generation of safe, secure mobility with AI and industrial digital twins.

Announced today at the CES trade show in Las Vegas, this latest work will elevate Hyundai Motor Group’s smart mobility innovation with NVIDIA accelerated computing, generative AI, digital twins and physical AI technologies.

The Group is launching a broad range of AI initiatives into its key mobility products, including software-defined vehicles and robots, along with optimizing its manufacturing lines.

“Hyundai Motor Group is exploring innovative approaches with AI technologies in various fields such as robotics, autonomous driving and smart factory,” said Heung-Soo Kim, executive vice president and head of the global strategy office at Hyundai Motor Group. “This partnership is set to accelerate our progress, positioning the Group as a frontrunner in driving AI-empowered mobility innovation.”

Hyundai Motor Group will tap into NVIDIA’s data-center-level computing and infrastructure to efficiently manage the massive data volumes essential for training its advanced AI models and building a robust autonomous vehicle (AV) software stack.

Manufacturing Intelligence With Simulation and Digital Twins

With the NVIDIA Omniverse platform running on NVIDIA OVX systems, Hyundai Motor Group will build a digital thread across its existing software tools to achieve highly accurate product design and prototyping in a digital twin environment. This will help boost engineering efficiencies, reduce costs and accelerate time to market.

The Group will also work with NVIDIA to create simulated environments for developing autonomous driving systems and validating self-driving applications.

Simulation is becoming increasingly critical in the safe deployment of AVs. It provides a safe way to test self-driving technology in any possible weather, traffic conditions or locations, as well as rare or dangerous scenarios.

Hyundai Motor Group will develop applications, like digital twins using Omniverse technologies, to optimize its existing and future manufacturing lines in simulation. These digital twins can improve production quality, streamline costs and enhance overall manufacturing efficiencies.

The company can also build and train industrial robots for safe deployment in its factories using NVIDIA Isaac Sim, a robotics simulation framework built on Omniverse.

NVIDIA is helping advance robotics intelligence with AI tools and libraries for automated manufacturing. As a result, Hyundai Motor Group can conduct industrial robot training in physically accurate virtual environments — optimizing manufacturing and enhancing quality.

This can also help make interactions with these robots and their real-world surroundings more intuitive and effective while ensuring they can work safely alongside humans.

Using NVIDIA technology, Hyundai Motor Group is driving the creation of safer, more intelligent vehicles, enhancing manufacturing with greater efficiency and quality, and deploying cutting-edge robotics to build a smarter, more connected digital workplace.

The partnership was formalized during a signing ceremony that took place last night at CES.

Learn more about how NVIDIA technologies are advancing autonomous vehicles.

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This GFN Thursday recaps the latest cloud announcements from the CES trade show, including GeForce RTX gaming expansion across popular devices such as Steam Deck, Apple Vision Pro spatial computers, Meta Quest 3 and 3S, and Pico mixed-reality devices.

Gamers in India will also be able to access their PC gaming library at GeForce RTX 4080 quallity with an Ultimate membership for the first time in the region. This follows expansion in Chile and Columbia with GeForce NOW Alliance partner Digevo.

More AAA gaming is on the way, with highly anticipated titles DOOM: The Dark Ages and Avowed joining GeForce NOW’s extensive library of over 2,100 supported titles when they launch on PC later this year.

Plus, no GFN Thursday is complete without new games. Get ready for six new titles joining the cloud this week.

Head in the Clouds

CES 2025 is coming to a close, but GeForce NOW members still have lots to look forward to.

Members will be able to play over 2,100 titles from the GeForce NOW cloud library at GeForce RTX quality on Valve’s popular Steam Deck device with the launch of a native GeForce NOW app, coming later this year. Steam Deck gamers can gain access to all the same benefits as GeForce RTX 4080 GPU owners with a GeForce NOW Ultimate membership, including NVIDIA DLSS 3 technology for the highest frame rates and NVIDIA Reflex for ultra-low latency.

GeForce NOW delivers a stunning streaming experience, no matter how Steam Deck users choose to play, whether in handheld mode for high dynamic range (HDR)-quality graphics, connected to a monitor for up to 1440p 120 frames per second HDR, or hooked up to a TV for big-screen streaming at up to 4K 60 fps.

GeForce NOW members can take advantage of RTX ON with the Steam Deck for photorealistic gameplay on supported titles, as well as HDR10 and SDR10 when connected to a compatible display for richer, more accurate color gradients.

Get immersed in a new dimension of big-screen gaming. In collaboration with Apple, Meta and ByteDance, NVIDIA is expanding GeForce NOW cloud gaming to Apple Vision Pro spatial computers, Meta Quest 3 and 3S, and Pico virtual- and mixed-reality devices — with all the bells and whistles of NVIDIA technologies, including ray tracing and NVIDIA DLSS.

In addition, NVIDIA will launch the first GeForce RTX-powered data center in India this year, making gaming more accessible around the world. This follows the recent launch of GeForce NOW in Colombia and Chile — operated by GeForce NOW Alliance partner Digevo — as well as Thailand coming soon — to be operated by GeForce NOW Alliance partner Brothers Picture.

Game On

AAA content from celebrated publishers is coming to the cloud. Avowed from Obsidian Entertainment, known for iconic titles such as Fallout: New Vegas, will join GeForce NOW. The cloud gaming platform will also bring DOOM: The Dark Ages from id Software — the legendary studio behind the DOOM franchise. These titles will be available at launch on PC this year.

Avowed, a first-person fantasy role-playing game, will join the cloud when it launches on PC on Tuesday, Feb. 18. Take on the role of an Aedyr Empire envoy tasked with investigating a mysterious plague. Freely combine weapons and magic — harness dual-wield wands, pair a sword with a pistol or opt for a more traditional sword-and-shield approach. In-game companions — which join the players’ parties — have unique abilities and storylines that can be influenced by gamers’ choices.

DOOM: The Dark Ages is the single-player, action first-person shooter prequel to the critically acclaimed DOOM (2016) and DOOM Eternal. Play as the DOOM Slayer, the legendary demon-killing warrior fighting endlessly against Hell. Experience the epic cinematic origin story of the DOOM Slayer’s rage in 2025.

Shiny New Games

Look for the following games available to stream in the cloud this week:

• Road 96 (New release on Xbox, available on PC Game Pass, Jan. 7)
• Builders of Egypt (New release on Steam, Jan. 8)
• DREDGE (Epic Games Store)
• Drova – Forsaken Kin (Steam)
• Kingdom Come: Deliverance (Xbox, available on Microsoft Store)
• Marvel Rivals (Steam, coming to the cloud after the launch of Season 1)

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

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Over the past year, generative AI has transformed the way people live, work and play, enhancing everything from writing and content creation to gaming, learning and productivity. PC enthusiasts and developers are leading the charge in pushing the boundaries of this groundbreaking technology.

Countless times, industry-defining technological breakthroughs have been invented in one place — a garage. This week marks the start of the RTX AI Garage series, which will offer routine content for developers and enthusiasts looking to learn more about NVIDIA NIM microservices and AI Blueprints, and how to build AI agents, creative workflow, digital human, productivity apps and more on AI PCs. Welcome to the RTX AI Garage.

This first installment spotlights announcements made earlier this week at CES, including new AI foundation models available on NVIDIA RTX AI PCs that take digital humans, content creation, productivity and development to the next level.

These models — offered as NVIDIA NIM microservices — are powered by new GeForce RTX 50 Series GPUs. Built on the NVIDIA Blackwell architecture, RTX 50 Series GPUs deliver up to 3,352 trillion AI operations per second of performance, 32GB of VRAM and feature FP4 compute, doubling AI inference performance and enabling generative AI to run locally with a smaller memory footprint.

NVIDIA also introduced NVIDIA AI Blueprints — ready-to-use, preconfigured workflows, built on NIM microservices, for applications like digital humans and content creation.

NIM microservices and AI Blueprints empower enthusiasts and developers to build, iterate and deliver AI-powered experiences to the PC faster than ever. The result is a new wave of compelling, practical capabilities for PC users.

Fast-Track AI With NVIDIA NIM

There are two key challenges to bringing AI advancements to PCs. First, the pace of AI research is breakneck, with new models appearing daily on platforms like Hugging Face, which now hosts over a million models. As a result, breakthroughs quickly become outdated.

Second, adapting these models for PC use is a complex, resource-intensive process. Optimizing them for PC hardware, integrating them with AI software and connecting them to applications requires significant engineering effort.

NVIDIA NIM helps address these challenges by offering prepackaged, state-of-the-art AI models optimized for PCs. These NIM microservices span model domains, can be installed with a single click, feature application programming interfaces (APIs) for easy integration, and harness NVIDIA AI software and RTX GPUs for accelerated performance.

At CES, NVIDIA announced a pipeline of NIM microservices for RTX AI PCs, supporting use cases spanning large language models (LLMs), vision-language models, image generation, speech, retrieval-augmented generation (RAG), PDF extraction and computer vision.

The new Llama Nemotron family of open models provide high accuracy on a wide range of agentic tasks. The Llama Nemotron Nano model, which will be offered as a NIM microservice for RTX AI PCs and workstations, excels at agentic AI tasks like instruction following, function calling, chat, coding and math.

Soon, developers will be able to quickly download and run these microservices on Windows 11 PCs using Windows Subsystem for Linux (WSL).

To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA previewed Project R2X, a vision-enabled PC avatar that can put information at a user’s fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. Sign up for Project R2X updates.

By using NIM microservices, AI enthusiasts can skip the complexities of model curation, optimization and backend integration and focus on creating and innovating with cutting-edge AI models.

What’s in an API?

An API is the way in which an application communicates with a software library. An API defines a set of “calls” that the application can make to the library and what the application can expect in return. Traditional AI APIs require a lot of setup and configuration, making AI capabilities harder to use and hampering innovation.

NIM microservices expose easy-to-use, intuitive APIs that an application can simply send requests to and get a response. In addition, they’re designed around the input and output media for different model types. For example, LLMs take text as input and produce text as output, image generators convert text to image, speech recognizers turn speech to text and so on.

The microservices are designed to integrate seamlessly with leading AI development and agent frameworks such as AI Toolkit for VSCode, AnythingLLM, ComfyUI, Flowise AI, LangChain, Langflow and LM Studio. Developers can easily download and deploy them from build.nvidia.com.

By bringing these APIs to RTX, NVIDIA NIM will accelerate AI innovation on PCs.

Enthusiasts are expected to be able to experience a range of NIM microservices using an upcoming release of the NVIDIA ChatRTX tech demo.

A Blueprint for Innovation

By using state-of-the-art models, prepackaged and optimized for PCs, developers and enthusiasts can quickly create AI-powered projects. Taking things a step further, they can combine multiple AI models and other functionality to build complex applications like digital humans, podcast generators and application assistants.

NVIDIA AI Blueprints, built on NIM microservices, are reference implementations for complex AI workflows. They help developers connect several components, including libraries, software development kits and AI models, together in a single application.

AI Blueprints include everything that a developer needs to build, run, customize and extend the reference workflow, which includes the reference application and source code, sample data, and documentation for customization and orchestration of the different components.

At CES, NVIDIA announced two AI Blueprints for RTX: one for PDF to podcast, which lets users generate a podcast from any PDF, and another for 3D-guided generative AI, which is based on FLUX.1 [dev] and expected be offered as a NIM microservice, offers artists greater control over text-based image generation.

With AI Blueprints, developers can quickly go from AI experimentation to AI development for cutting-edge workflows on RTX PCs and workstations.

Built for Generative AI

The new GeForce RTX 50 Series GPUs are purpose-built to tackle complex generative AI challenges, featuring fifth-generation Tensor Cores with FP4 support, faster G7 memory and an AI-management processor for efficient multitasking between AI and creative workflows.

The GeForce RTX 50 Series adds FP4 support to help bring better performance and more models to PCs. FP4 is a lower quantization method, similar to file compression, that decreases model sizes. Compared with FP16 — the default method that most models feature — FP4 uses less than half of the memory, and 50 Series GPUs provide over 2x performance compared with the previous generation. This can be done with virtually no loss in quality with advanced quantization methods offered by NVIDIA TensorRT Model Optimizer.

For example, Black Forest Labs’ FLUX.1 [dev] model at FP16 requires over 23GB of VRAM, meaning it can only be supported by the GeForce RTX 4090 and professional GPUs. With FP4, FLUX.1 [dev] requires less than 10GB, so it can run locally on more GeForce RTX GPUs.

With a GeForce RTX 4090 with FP16, the FLUX.1 [dev] model can generate images in 15 seconds with 30 steps. With a GeForce RTX 5090 with FP4, images can be generated in just over five seconds.

Get Started With the New AI APIs for PCs

NVIDIA NIM microservices and AI Blueprints are expected to be available starting next month, with initial hardware support for GeForce RTX 50 Series, GeForce RTX 4090 and 4080, and NVIDIA RTX 6000 and 5000 professional GPUs. Additional GPUs will be supported in the future.

NIM-ready RTX AI PCs are expected to be available from Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MSI, Razer and Samsung, and from local system builders Corsair, Falcon Northwest, LDLC, Maingear, Mifcon, Origin PC, PCS and Scan.

GeForce RTX 50 Series GPUs and laptops deliver game-changing performance, power transformative AI experiences, and enable creators to complete workflows in record time. Rewatch NVIDIA CEO Jensen Huang’s  keynote to learn more about NVIDIA’s AI news unveiled at CES.

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