Posts in category: nVidia AI

From research and discovery to patient care and administrative tasks, AI is showing transformative potential across nearly every part of healthcare and life sciences.

For example, generative AI can be used to help automate repetitive, time-consuming tasks such as summarizing and creating documents and extracting and analyzing data from reports. It can also aid in drug discovery by finding new protein structures and offer assistance to patients through chatbots and AI assistants, easing the burden on clinical and administrative staff.

This wide range of applications was among key insights of NVIDIA’s inaugural “State of AI in Healthcare and Life Sciences” survey.

The survey — which polled more than 600 professionals across the globe from fields spanning digital healthcare, medical tools and technologies, pharmaceutical and biotech, and payers and practitioners — revealed robust AI adoption in the industry, with about two-thirds of respondents saying their companies are actively using the technology.

AI is also having a tangible impact on the industry’s bottom line, with 81% of respondents saying AI has helped increase revenue, and 45% percent realizing these benefits in less than a year after implementation.

Here are some of the key insights and use cases from the survey:

• 83% of overall respondents agreed with the statement that “AI will revolutionize healthcare and life sciences in the next three to five years”
• 73% said AI is helping to reduce operational costs
• 58% cited data analytics as the top AI workload, with generative AI second at  54%, and large language models third at 53%
• 59% of respondents from pharmaceutical and biotech companies cited drug discovery and development among their top AI use cases

Business Impact of AI in Healthcare and Life Sciences

The healthcare and life sciences industry is seeing how AI can help increase annual revenue and reduce operational costs. Forty-one percent of respondents indicated that the acceleration of research and development has had a positive impact. Thirty-six percent of respondents said AI has helped create a competitive advantage. And 35% have said it’s helped reduce project cycles, deliver better clinical or research insights, and enhance precision and accuracy, respectively.

Given the positive results across a broad range of AI use cases, it comes as no surprise that 78% of respondents said they intend to increase their budget for AI infrastructure this year. In addition, more than a third of respondents noted their investments in AI will increase by more than 10%.

The survey also revealed the top three spending priorities: identifying additional AI use cases (47%), optimizing workflow and production cycles (34%) and hiring more AI experts (26%).

AI Applied Across Healthcare

Each industry segment in the survey had differing priorities in AI implementation. For instance, in the payers and providers industry segment, which includes health insurance companies, hospitals, clinical services and home healthcare, 48% of respondents said their top AI use case was administrative tasks and workflow optimization.

For the medical tools and technologies field, 71% of respondents said their top AI use case was medical imaging and diagnostics, such as using AI to analyze MRI or CAT scans. And for digital healthcare, 54% of respondents said their top use case was clinical decision support, while 54% from the pharmaceutical and biotech fields prioritized drug discovery and development.

AI use cases expected to have the most significant impact in healthcare and life sciences in the next five years include advanced medical imaging and diagnostics (51%), virtual healthcare assistants (34%) and precision medicine — treatment tailored to individual patient characteristics — (29%).

A Growing Dose of Generative AI

Overall, 54% of survey respondents said they’re using generative AI. Of these users, 63% said they’re actively using it, with another 36% assessing the technology through pilots or trials.

Digital healthcare was the leader in generative AI use, according to 71% of respondents from the field. Second was pharmaceutical and biotech at 69%, then medical technologies at 60%, and payers and providers at 44%.

Among all generative AI use cases, coding and document summarization — specific to clinical notes — was the top use case, at 55%. Medical chatbots and AI agents were second, at 53%, and literature analysis was third, at 45%. One notable exception was within the pharmaceutical biotech industry segment, in which respondents stated that drug discovery was the top generative AI use case, at 62%.

Download the “State of AI in Healthcare and Life Sciences: 2025 Trends” report for in-depth results and insights.

Explore NVIDIA’s AI technologies and platforms for healthcare, and sign up for NVIDIA’s healthcare newsletter to stay up to date.

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From Seattle, Washington, to Cape Town, South Africa — and everywhere around and between — AI is helping conserve the wild plants and animals that make up the intricate web of life on Earth.

It’s critical work that sustains ecosystems and supports biodiversity at a time when the United Nations estimates over 1 million species are threatened with extinction.

World Wildlife Day, a UN initiative, is celebrated every March 3 to recognize the unique contributions wild animals and plants have on people and the planet — and vice versa.

“Our own survival depends on wildlife,” the above video on this year’s celebration says, “just as much as their survival depends on us.”

Learn more about some of the leading nonprofits and startups using NVIDIA AI and accelerated computing to protect wildlife and natural habitats, today and every day:

Ai2’s EarthRanger Offers World’s Largest Elephant Database

Seattle-based nonprofit AI research institute Ai2 offers EarthRanger, a software platform that helps protected-area managers, ecologists and wildlife biologists make more informed operational decisions for wildlife conservation in real time, whether preventing poaching, spotting ill or injured animals, or studying animal behavior.

Among Ai2’s efforts with EarthRanger is the planned development of a machine learning model — trained using NVIDIA Hopper GPUs in the cloud — that predicts the movement of elephants in areas close to human-wildlife boundaries where elephants could raid crops and potentially prompt humans to retaliate.

With access to the world’s largest repository of elephant movement data, made possible by EarthRanger users who’ve shared their data, the AI model could help predict elephant behaviors, then alert area managers to safely guide the elephants away from risky situations that could arise for them or for people in the vicinity. Area managers or rangers typically use helicopters, other vehicles and chili bombs to safely reroute elephants.

Beyond elephants, EarthRanger collects, integrates and displays data on a slew of wildlife — aggregated from over 100 data sources, including camera traps, acoustic sensors, satellites, radios and more. Then, the platform combines the data with field reports to provide a unified view of collared wildlife, rangers, enforcement assets and infrastructure within a protected area.

“Name a country, species or an environmental cause and we’re probably supporting a field organization’s conservation efforts there,” said Jes Lefcourt, director of EarthRanger at Ai2.

It’s deployed by governments and conservation organizations in 76 countries and 650 protected areas, including nearly every national park in Africa, about a dozen state fishing and wildlife departments in the U.S., as well as many other users across Latin America and Asia.

Four of these partners — Rouxcel Technology, OroraTech, Wildlife Protection Services and Conservation X Labs — are highlighted below.

Rouxcel Technology Saves Rhinos With AI

South African startup Rouxcel Technology’s AI-based RhinoWatches, tapping into EarthRanger, learn endangered black and white rhinos’ behaviors, then alert authorities in real time of any detected abnormalities. These abnormalities can include straying from typical habitats, territorial fighting with other animals and other potentially life-threatening situations.

It’s critical work, as there are just about 28,000 rhinos left in the world, from 500,000 at the beginning of the 20th century.

Rouxcel, based in Cape Town, has deployed over 1,200 RhinoWatches — trained and optimized using NVIDIA accelerated computing — across more than 40 South African reserves. The startup, which uses the Ai2 EarthRanger platform, protects more than 1.2 million acres of rhino habitats, and has recently expanded to help conservation efforts in Kenya and Namibia.

Looking forward, Rouxcel is developing AI models to help prevent poaching and human-wildlife conflict for more species, including pangolins, a critically endangered species.

OroraTech Monitors Wildfires and Poaching With NVIDIA CUDA, Jetson

OroraTech — a member of the NVIDIA Inception program for cutting-edge startups — uses the EarthRanger platform to protect wildlife in a different way, offering a wildfire detection and monitoring service that fuses satellite imagery and AI to safeguard the environment and prevent poaching.

Combining data from satellites, ground-based cameras, aerial observations and local weather information, OroraTech detects threats to natural habitats and alerts users in real time. The company’s technologies monitor more than 30 million hectares of land that directly impact wildlife in Africa and Australia. That’s nearly the size of the Great Barrier Reef.

OroraTech flies an NVIDIA Jetson module for edge AI and data processing onboard all of its satellite payloads — the instruments, equipment and systems on a satellite designed for performing specific tasks. Through GPU-accelerated image processing, OroraTech achieves exceptional latency, delivering fire notifications to users on the ground as fast as five minutes after image acquisition.

The AI-based fire-detection pipeline uses the NVIDIA cuDNN library of deep neural network primitives and the NVIDIA TensorRT software development kit for thermal anomaly detection and cloud masking in space, leading to high-precision fire detections.

Wildlife Protection Solutions Help Preserve Endangered Species

International nonprofit Wildlife Protection Solutions (WPS) supports more than 250 conservation projects in 50+ countries. Its remote cameras — about 3,000 deployed across the globe — using AI models provide real-time monitoring of animals and poachers, alerting rangers to intercede before wildlife is harmed.

WPS — which also taps into the EarthRanger platform — harnesses NVIDIA accelerated computing to optimize training and inference of its AI models, which process and analyze 65,000 photos per day.

The WPS tool is free and available on any mobile, tablet or desktop browser, enabling remote monitoring, early alerting and proactive, automated deterrence of wildlife or humans in sensitive areas.

Conservation X Labs Identifies Species From Crowdsourced Images

Seattle-based Conservation X Labs — which is on a mission to prevent the sixth mass extinction, or the dying out of a high percentage of the world’s biodiversity due to natural phenomena and human activity — also uses EarthRanger, including for its Wild Me solution: open-source AI software for the conservation research community.

Wild Me supports over 2,000 researchers across the globe running AI-enabled wildlife population studies for marine and terrestrial species.

In the below video, Wild Me helps researchers classify whale sharks using computer vision:

The crowdsourced database — which currently comprises 14 million photos — lets anyone upload imagery of species. Then, AI foundation models trained using NVIDIA accelerated computing help identify species to ease and accelerate animal population assessments and other research that supports the fight against species extinction.

In addition, Conservation X Labs’s Sentinel technology transforms traditional wildlife monitoring tools — like trail cameras and acoustic recorders — with AI, processing environmental data as it’s collected and providing conservationists with real-time, data-driven insights through satellite and cellular networks.

To date, Sentinel devices have delivered about 100,000 actionable insights for 80 different species. For example, see how the technology flags a limping panther, so wildlife protectors could rapidly step in to offer aid:

Learn more about how NVIDIA technologies bolster conservation and environmental initiatives at NVIDIA GTC, a global AI conference running March 17-21 in San Jose, California, including at sessions on how AI is supercharging Antarctic flora monitoring, enhancing a digital twin of the Great Barrier Reef and helping mitigate urban climate change.

Featured video courtesy of Conservation X Labs.

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Editor’s note: This is the next topic in our new CUDA Accelerated news series, which showcases the latest software libraries, NVIDIA NIM microservices and tools that help developers, software makers and enterprises use GPUs to accelerate their applications.

Traditional cybersecurity measures are proving insufficient for addressing emerging cyber threats such as malware, ransomware, phishing and data access attacks. Moreover, future quantum computers pose a security risk to today’s data through ‘harvest now, decrypt later’ attack strategies.

Cybersecurity technology powered by NVIDIA accelerated computing and high-speed networking is transforming the way organizations protect their data, systems and operations. These advanced technologies not only enhance security but also drive operational efficiency, scalability and business growth.

Accelerated AI-Powered Cybersecurity

Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. NVIDIA GPUs are essential for training and deploying AI models due to their exceptional computational power. They offer:

• Faster AI model training: GPUs reduce the time required to train machine learning models for tasks like fraud detection or phishing prevention.
• Real-time inference: AI models running on GPUs can analyze network traffic in real time to identify zero-day vulnerabilities or advanced persistent threats.
• Automation at scale: Businesses can automate repetitive security tasks such as log analysis or vulnerability scanning, freeing up human resources for strategic initiatives.
• For example, AI-driven intrusion detection systems powered by NVIDIA GPUs can analyze billions of events per second to detect anomalies that traditional systems might miss. Learn more about NVIDIA AI cybersecurity solutions.

Real-Time Threat Detection and Response

GPUs excel at parallel processing, making them ideal for handling the massive computational demands of real-time cybersecurity tasks such as intrusion detection, malware analysis and anomaly detection. By combining them with high-performance networking software frameworks like NVIDIA DOCA and NVIDIA Morpheus, businesses can:

• Detect threats faster: GPUs process large datasets in real time, enabling immediate identification of suspicious activities.
• Respond proactively: High-speed networking ensures rapid communication between systems, allowing for swift containment of threats.
• Minimize downtime: Faster response times reduce the impact of cyberattacks on business operations.

This capability is particularly beneficial for industries like finance and healthcare, where even a few seconds of downtime can result in significant losses or risks to public safety. Read the NVIDIA AI Enterprise security white paper to learn more.

Scalability for Growing Infrastructure Cybersecurity Needs

As businesses grow and adopt more connected devices and cloud-based services, the volume of network traffic increases exponentially. Traditional CPU-based systems often struggle to keep up with these demands. GPUs and high-speed networking software provide massive scalability, capable of handling large-scale data processing effortlessly, either on premises or in the cloud.

For example, NVIDIA’s cybersecurity solutions can help future-proof cybersecurity technologies and improve cost efficiency via centralized control.

Enhanced Data Security Across Distributed Environments

With remote work becoming the norm, businesses must secure sensitive data across a growing number of distributed locations. Distributed computing systems enhance the overall resilience of cybersecurity infrastructure by providing redundancy and fault tolerance, reduced downtime and data protection for continuous operation and minimum interruption, even during cyber attacks.

NVIDIA’s high-speed data management and networking software paired with GPU-powered cybersecurity solutions offers consistent protection with automated updates, improved encryption and isolated threat zones. This is especially crucial for industries handling sensitive customer data, such as retail or e-commerce, where breaches can severely damage brand reputation. Learn more about NVIDIA’s GPU cloud computing technologies.

Improved Regulatory Compliance 

Regulatory frameworks such as GDPR, HIPAA, PCI DSS and SOC 2 require businesses to implement stringent security measures. GPU-powered cybersecurity solutions and high-speed networking software make compliance easier by ensuring data integrity, providing audit trails and reducing risk exposure.

Accelerating Post-Quantum Cryptography

Sufficiently large quantum computers can crack the Rivest-Shamir-Adleman (RSA) encryption algorithm underpinning today’s data security solutions. Even though such devices have not yet been built, governing agencies around the world are recommending the use of post-quantum cryptography (PQC) algorithms to protect against attackers that might hoard sensitive data for decryption in the future.

PQC algorithms are based on mathematical operations more sophisticated than RSA, which are expected to be secure against attacks even by future quantum computers. The National Institute of Standards and Technology (NIST) has standardized a number of PQC algorithms and recommended that organizations should begin phasing out existing encryption methods by 2030 — and transition entirely to PQC by 2035.

Widespread adoption of PQC requires ready access to highly performant and flexible implementations of these complex algorithms. NVIDIA cuPQC accelerates the most popular PQC algorithms, granting enterprises high throughputs of sensitive data to remain secure now and in the future.

Essentiality of Investing in Modern Cybersecurity Infrastructure

The integration of GPU-powered cybersecurity technology with high-speed networking software represents a paradigm shift in how businesses approach digital protection. By adopting these advanced solutions, businesses can stay ahead of evolving cyber threats while unlocking new opportunities for growth in an increasingly digital economy. Whether for safeguarding sensitive customer data or ensuring uninterrupted operations across global networks, investing in modern cybersecurity infrastructure is no longer optional but essential.

NVIDIA provides over 400 libraries for a variety of use cases, including building cybersecurity infrastructure. New updates continue to be added to the CUDA platform roadmap.

GPUs can’t simply accelerate software written for general-purpose CPUs. Specialized algorithm software libraries, solvers and tools are needed to accelerate specific workloads, especially on computationally intensive distributed computing architectures. Strategically tighter integration between CPUs, GPUs and networking helps provide the right platform focus for future applications and business benefits.

Learn more about NVIDIA CUDA libraries and microservices for AI.

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From improving customer experiences to boosting operational efficiency, agentic AI — advanced AI systems designed to autonomously reason, plan and execute complex tasks based on high-level goals — is changing the way people live and work. Across industries, AI agents serve as intelligent personal assistants, helping automate repetitive and time-consuming tasks to free up individuals and organizations to focus on higher-value work.

At NVIDIA GTC, a global AI conference taking place March 17-21 in San Jose, California, industry experts will share how they’re using AI agents to drive innovation in customer service, cybersecurity, retail, automotive, financial services, healthcare, telecommunications and more. In addition, engineers and developers can learn how to build AI agents and multi-agent systems using cutting-edge tools and frameworks.

Don’t miss NVIDIA founder and CEO Jensen Huang’s GTC keynote on Tuesday, March 18, at 10 a.m. PT.

Browse the agentic AI sessions coming to GTC, as well as the full conference catalog.

Agentic AI Sessions for Business Leaders

GTC will feature many sessions where executives and business leaders can learn how generative and agentic AI are transforming enterprises, including:

• Harnessing AI Agents for Enterprise Success: Insights From AI Experts: AI experts from Accenture, Meta, Microsoft and ServiceNow will share their insights and experiences in developing and deploying generative AI and agentic solutions. The discussion will cover real-world enterprise use cases, strategies for building user trust and the challenges of scaling AI agents across organizations.
• Securing the Future: Protecting and Consuming Agentic AI: David Reber, chief security officer at NVIDIA, will share the key information and strategies organizations need to safely harness agentic AI and protect their organizations from emerging threats.
• AI in Action: Improving Customer Service Across Industries With Agentic AI: This panel discussion with Yum! Brands, U.S. Bank and Mayo Clinic will explore the strategies and challenges behind successful AI agent deployments through real-world use cases from retail, financial services and healthcare.
• How to Onboard Your Team of AI Agents to Transform Your Enterprise: Adel El Hallak, senior director of product management at NVIDIA, will share how NVIDIA AI Blueprints — building blocks for agentic AI — empower enterprises to easily compose and deploy teams of agents to achieve dynamic data retrieval and real-time interactivity.
• Enterprise Gen AI’s Next Wave: Unlock Efficiency and Effectiveness in Business-Specific Functions With Agentic AI: Learn how Deloitte and NVIDIA are partnering to create domain-specific agentic AI solutions — and learn the types of business challenges these solutions can uniquely solve.

Agentic AI Sessions for Developers and Engineers

Developers, engineers, architects, data scientists and all technical professionals attending GTC can  stop by the AI Platforms Pavilion and the Generative and Agentic AI Pavilion to meet industry leaders streamlining AI development with end-to-end workflows using resources from the NVIDIA AI Enterprise software platform.

Browse the full list of technical agentic AI sessions, including:

• How to Build an Agentic AI System Using the Best Tools and Frameworks: Bartley Richardson, director of agentic AI at NVIDIA, will showcase the latest tools and frameworks helping developers more easily build agentic AI systems that connect AI agents to enterprise data and drive efficiency gains across organizations.
• AI Agents in Production: Insights and Future Directions: LangChain cofounder and CEO Harrison Chase will cover key lessons learned from LangChain’s experience helping customers develop, deploy and manage enterprise AI agents in production at scale, as well as explore emerging technologies poised to shape the future.
• Learn to Build Agentic AI Workflows for Enterprise Applications: NVIDIA solutions architects will lead a technical session on how to deploy an agentic AI workflow, create tools for an AI agent and quickly augment existing workflows with new tools.

Agentic AI Sessions for Industry Applications

GTC features sessions on how AI can be implemented in nearly every industry, from financial services to healthcare, retail, automotive and more.

Browse the full list of industry-specific sessions, including:

• Unlock the Power of AI Agents in Automotive: Bryan Goodman, executive director of AI at Ford Motor Company, will discuss the benefits and challenges of deploying AI agents in the automotive industry, as well as practical solutions for doing so.
• AI at Scale: Lessons from Capital One’s Agentic AI Adoption: In this fireside chat, Prem Natarajan, executive vice president and head of enterprise AI at Capital One, will talk about the bank’s development and adoption of generative and agentic AI technologies, highlighting key initiatives that balance innovation in customer experience with well-governed and risk-centered approaches.
• AI Agents and Digital Humans Shaping the Future of Interaction in Telecoms: Leaders from Amdocs, AT&T, Indiana University and ServiceNow will delve into the cutting-edge developments in and challenges of deploying digital human AI agents and AI-driven solutions across telecommunications.
• MOMA: Zero-Shot Multi-Objective Antibody Evolution Using Multi-Agents: Wei Lu, senior director of AI at Aureka Bio, will discuss how MOMA (Multi-Objective Multi-Agents) — a novel framework that orchestrates agentic models — accelerates the discovery of antibodies with optimal stability, target affinity and reduced side effects, enhancing high-valued therapeutic antibody design.

Register now for NVIDIA GTC to explore the latest technological advancements, including agentic and physical AI. 

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Norway’s first sustainable and secure AI cloud service demonstrates how countries can maintain data sovereignty while advancing green computing initiatives.

Building on 170 years as a telecommunications provider, Telenor opened Norway’s first AI factory in November. The facility enables organizations to process sensitive data securely on Norwegian soil while prioritizing environmental responsibility.

Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen joined the NVIDIA AI Podcast to discuss the AI factory’s rapid development, as it went from concept to reality in under a year. It now serves customers across industries including logistics and public services, and delivers sustainable and secure sovereign AI — where nations own the production of their own intelligence.

Telenor’s commitment to sustainability is evident in its plans to build a data center in Oslo that will run on renewable energy and repurpose excess heat for district heating in nearby residential buildings.

Sovereign AI infrastructure helps nations manage sensitive data and advance sustainability goals. As Hilsen said, the AI factory isn’t just about building infrastructure — it’s about “helping move society forward,” responsibly and sustainably.

Hilsen will share more insights at NVIDIA GTC, the leading global AI conference, in a session titled, “Accelerating Sovereign AI Factories: Insights from Telco Case Studies.”

Explore the lineup of telecom sessions at GTC and learn more about telecom companies becoming sovereign AI factories.

In NVIDIA’s third annual survey of telecommunications professionals, 84% of respondents intend to offer generative AI solutions to their customers, primarily as software-as-a-service (52%) and as a developer platform, including compute services (35%). Learn more in the full report.

Time Stamps

01:39 – Hilsen details her 25-year telco industry background and recent focus on sustainable innovation.

07:39 – How the AI factory went from concept to reality in less than a year.

13:09 – Exploration of how customers are using the AI factory for sensitive data processing.

16:50 – The importance of security and building trust with customers.

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GeForce NOW is blooming further with an array of 14 new titles in March.

A garden of gaming delights will have members marching straight into action and adventure this spring, with Ubisoft’s Assassin’s Creed Shadows, Tripwire Interactive’s Killing Floor 3 and Hazelight Studio’s Split Fiction coming to the cloud next week at launch.

Start off with six games coming to the cloud this week, including Halo: The Master Chief Collection. And don’t miss out on the latest update for miHoYo’s hit game Honkai: Star Rail.

GeForce NOW one-month and six-month Performance and Ultimate memberships are available for new members to purchase again in the US, Canada and Europe, as well as the free tier. Stay tuned for updates as more membership options become available.

Split Adventure

Hazelight Studios, creators of the acclaimed It Takes Two, are returning with a new and imaginative co-op game: Split Fiction. The narrative-driven adventure follows Mio, a writer of science fiction, and Zoe, a fantasy author, who find themselves trapped in a simulation stealing their stories. Adventure across wildly shifting worlds, ranging from the dazzling, neon-drenched landscapes of futuristic cyberpunk cities to the enchanted, dragon-populated depths of ancient forests.

Each level introduces fresh abilities, mini games and chaotic scenarios. Tame dragons, snowboard through explosions, master laser swords, solve gravity-defying puzzles, fight robotic parking attendants, outdance monkeys and flee supernovas while building trust between strangers. Play online or in couch co-op mode, using innovative split-screen mechanics that demand genuine teamwork and optimal communication between players to succeed. The Friend’s Pass feature lets one player host the full game while their partner joins for free.

Adventure through the genre-bending worlds of Split Fiction across devices with a GeForce NOW membership. With cloud saves and instant access, members never have to miss a moment to dive in whenever their gaming buddy’s available.

The Legend Lives On

Halo: The Master Chief Collection comprises six legendary games for members to play — Halo: Reach, Halo: Combat Evolved Anniversary, Halo 2: Anniversary, Halo 3, Halo 3: ODST and Halo 4. Dive into more than 60 adrenaline-fueled campaign missions, from the explosive beginnings of the Halo saga to the high-stakes battles that shaped its epic legacy.

With breathtaking visuals, fast gameplay and stunning multiplayer arenas, this collection delivers heart-pounding action and unforgettable thrills. Whether a seasoned Spartan or new to the fight, Halo: The Master Chief Collection will keep players on the edges of their seats.

Gear up for an exceptional gaming experience with these upcoming titles and more. Ultimate members can stream in stunning 4K resolution at over 120 frames per second, powered by NVIDIA DLSS and Reflex technologies — delivering seamless gameplay on virtually any device.

New to Town

The newest Honkai: Star Rail update, “Light Slips the Gate, Shadow Greets the Throne,” is now available for members to stream in the cloud. Version 3.1 introduces a new chapter in the Flame-Chase Journey, playable characters and more. Explore the “Grove of Epiphany,” a new map ravaged by the black tide, where players must rescue survivors and reclaim Cerces’ Coreflame.

Two new playable characters are Tribbie, a five-star Quantum character on the Path of Harmony, and Mydei, a five-star Imaginary character on the Path of Destruction. The update also includes the return of limited five-star characters Yunli and Huohuo, a new season of the Divergent Universe game mode with a “Day and Night System,” as well as the Awooo Firm event where players manage a chimera squad in Okhema.

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

• Balatro (New release on Xbox, available on PC Game Pass)
• The Dark Crystal: Age of Resistance Tactics (Xbox, available on the Microsoft Store)
• The Evil Within 2 (Epic Games Store, Steam, and Xbox available on PC Game Pass)
• Halo: The Master Chief Collection (Steam and Xbox, available on PC Game Pass)
• Murky Divers (Steam)
• Somerville (Xbox, available on the Microsoft Store)

Here’s what to expect for March:

• Dragonkin: The Banished  (New release on Steam Mar. 6)
• Split Fiction (New release on EA App and Steam, Mar. 6)
• Split Fiction: Friend’s Pass  (New release on EA App and Steam, Mar. 6 App)
• Assassin’s Creed Shadows (New release on Steam and Ubisoft Connect, Mar. 20)
• Wreckfest 2 (New release on Steam, Mar. 20)
• Killing Floor 3 (New Release on Steam, Mar. 25)
• Atomfall (New release on Steam and Xbox available on PC Game Pass, Mar. 27)
• The First Berserker: Khazan (New Release on Steam, Mar. 27
• inZOI (New release on Steam, Mar. 28)
• City Transport Simulator: Tram (Steam)
• Dave the Diver (Steam)
• The Legend of Heroes: Trails through Daybreak II (Steam)
• Motor Town: Behind The Wheel (Steam)
• Potion Craft: Alchemist Simulator (Steam)

Full of Games in February

In addition to the 17 games announced last month, six more joined the GeForce NOW library, including Halo: The Master Chief Collection being added this week:

• Far Cry: New Dawn (New release on PC Game Pass, Feb. 4)
• F1 Manager 2024 (New release on Epic Games Store, free, Feb. 13)
• Warhammer 40,000: Rogue Trader (New release on Xbox, available on PC Game Pass, Feb. 20)
• Batman: Arkham Asylum – Game of the Year Edition (Steam and Epic Games Store)
• Batman: Arkham City – Game of the Year Edition (Steam and Epic Games Store)
• Batman: Arkham Knight (Steam and Epic Games Store)

UNDER NIGHT IN-BIRTH II Sys:Celes didn’t make it to the cloud this month. Stay tuned to GFN Thursday for updates.

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

The month is almost over, what last-minute gaming goals do you still need to check off?

— NVIDIA GeForce NOW (@NVIDIAGFN) February 26, 2025

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Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and  enhancing productivity.

At GTC 2025, running March 17–21 in the San Jose Convention Center, experts from across the AI ecosystem will share insights on deploying AI locally, optimizing models and harnessing cutting-edge hardware and software to enhance AI workloads — highlighting key advancements in RTX AI PCs and workstations.

Develop and Deploy on RTX

RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more.

With more than 100 million GeForce RTX and NVIDIA RTX GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session “Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations,” Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.

Model Behavior

Large language models (LLMs) can be used for an abundance of use cases — and scale to tackle complex tasks like writing code or translating Japanese into Greek. But since they’re typically trained with a wide spectrum of knowledge for broad applications, they may not be the right fit for specific tasks, like nonplayer character dialog generation in a video game. In contrast, small language models balance need with reduced size, maintaining accuracy while running locally on more devices.

In the session “Watch Your Language: Create Small Language Models That Run On-Device,” Oluwatobi Olabiyi, senior engineering manager at NVIDIA, will present tools and techniques that developers and enthusiasts can use to generate, curate and distill a dataset — then train a small language model that can perform tasks designed for it.

Maximizing AI Performance on Windows Workstations

Optimizing AI inference and model execution on Windows-based workstations requires strategic software and hardware tuning due to diverse hardware configurations and software environments. The session “Optimizing AI Workloads on Windows Workstations: Strategies and Best Practices,” will explore best practices for AI optimization, including model quantization, inference pipeline enhancements and hardware-aware tuning.

A team of NVIDIA software engineers will also cover hardware-aware optimizations for ONNX Runtime, NVIDIA TensorRT and llama.cpp, helping developers maximize AI efficiency across GPUs, CPUs and NPUs.

Advancing Local AI Development

Building, testing and deploying AI models on local infrastructure ensures security and performance even without a connection to cloud-based services. Accelerated with NVIDIA RTX GPUs, Z by HP’s AI solutions provide the tools needed to develop AI on premises while maintaining control over data and IP.

Learn more by attending the following sessions:

• Dell Pro Max and NVIDIA: Unleashing the Future of AI Development: This session introduces Dell Pro Max PCs, performance laptops and desktops for professionals, powered by NVIDIA RTX GPUs. Discover how this powerful duo can help jumpstart AI initiatives and transform the way AI developers, data scientists, creators and power users innovate.
• Develop and Observe Gen AI On-Prem With Z by HP GenAI Lab and AI Studio: This session demonstrates how Z by HP solutions simplify local model training and deployment, harnessing models in the NVIDIA NGC catalog and Galileo evaluation technology to refine generative AI projects securely and efficiently.
• Supercharge Gen AI Development With Z by HP GenAI Lab and AI Studio: This session explores how Z by HP’s GenAI Lab and AI Studio enable on-premises LLM development while maintaining complete data security and control. Learn how these tools streamline the entire AI lifecycle, from experimentation to deployment, while integrating models available in the NVIDIA NGC catalog for collaboration and workflow efficiency.

Developers and enthusiasts can get started with AI development on RTX AI PCs and workstations using NVIDIA NIM microservices. Rolling out today, the initial public beta release includes the Llama 3.1 LLM, NVIDIA Riva Parakeet for automatic speech recognition (ASR), and YOLOX  for computer vision.

NIM microservices are optimized, prepackaged models for generative AI. They span modalities important for PC development, and are easy to download and connect to via industry-standard application programming interfaces.

Attend GTC 2025

From the keynote by NVIDIA founder and CEO Jensen Huang to over 1,000 inspiring sessions, 300+ exhibits, technical hands-on training and tons of unique networking events — GTC is set to put a spotlight on AI and all its benefits.

Follow NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.

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To better prepare communities for extreme weather, forecasters first need to see exactly where it’ll land.

That’s why weather agencies and climate scientists around the world are harnessing NVIDIA CorrDiff, a generative AI weather model that enables kilometer-scale forecasts of wind, temperature, and precipitation type and amount. It’s part of the NVIDIA Earth-2 platform for simulating weather and climate conditions.

The paper behind CorrDiff was featured today in Communications Earth and Environment, part of the Nature portfolio of scientific journals. Available as an easy-to-deploy NVIDIA NIM microservice, the model is already being used by weather technology companies, researchers and government agencies to enhance their forecasts.

With the rising frequency of extreme weather events, fast, high-resolution predictions of weather phenomena could help mitigate risks to people, communities and economies by supporting risk assessment, evacuation planning, disaster management and the development of climate-resilient infrastructure.

Weather agencies and startups across the globe are adopting CorrDiff and other Earth-2 tools to improve the resolution and precision of forecasts for extreme weather phenomena, renewable energy management and agricultural planning.

High-Fidelity Forecasts on the Horizon

CorrDiff uses generative AI to sharpen the precision of coarse-resolution weather models — resolving atmospheric data from 25-kilometer scale down to 2 kilometers using diffusion modeling, the same kind of AI model architecture that powers today’s text-to-image generation services.

In addition to boosting image resolution, CorrDiff can also predict related variables that weren’t present in the input data — such as radar reflectivity, which is used as an indicator of rain location and intensity.

CorrDiff was trained on the Weather Research and Forecasting model’s numerical simulations to generate weather patterns at 12x higher resolution.

The initial CorrDiff model, announced at NVIDIA GTC 2024 and described in the Communications Earth and Environment paper, was optimized on Taiwan weather data in collaboration with its Central Weather Administration.

NVIDIA researchers and engineers next worked to efficiently scale the model to cover a larger section of the globe. The version released as an NVIDIA NIM microservice at Supercomputing 2024 covers the continental United States — trained on U.S. weather data, with sample datasets of real-world natural disasters including hurricanes, floods, winter storms, tornados and cold waves.

The optimized CorrDiff NIM microservice for U.S. data is 500x faster and 10,000x more energy-efficient than traditional high-resolution numerical weather prediction using CPUs.

The research team behind CorrDiff continues to advance the model’s capabilities, and has released additional generative AI diffusion models showing how the model could be enhanced to more robustly resolve small-scale details in different environments — and better capture rare or extreme weather events.

CorrDiff could also help with downwash prediction — when strong winds funnel down to street level, damaging buildings and affecting pedestrians — in urban areas.

Weather Agencies Put CorrDiff on the Map

Meteorological agencies and companies around the globe are tapping CorrDiff to accelerate predictions with applications in regional forecasting, renewable energy and disaster management.

Taiwan’s National Science and Technology Center for Disaster Reduction, for instance, has deployed the CorrDiff to support disaster alerts in the region, enabling an estimated gigawatt-hour of energy savings due to the energy efficiency of CorrDiff running on the NVIDIA AI platform. CorrDiff predictions are embedded in the center’s disaster monitoring site, helping Taiwan forecasters better prepare for typhoons.

Discover Earth-2 at NVIDIA GTC 

Learn more about AI applications using Earth-2 at NVIDIA GTC, the global AI conference taking place March 17-21 in San Jose, California. Relevant sessions include:

• Applying AI Weather Models With NVIDIA Earth-2: This training lab will show participants how to run global AI weather forecasting models.
• Earth to AI: This panel brings together industry leaders to explore how AI and climate science are transforming business strategies for a sustainable future.
• Enhancing Photovoltaic Power Predictions With High-Resolution Weather Forecasting from NVIDIA Earth-2: This session covers a project between NVIDIA, Peking University and power company GCL to use Earth-2 models to predict solar power generation output.
• Global Atmospheric Downscaling by Improving CorrDiff Process: In this poster, South Korean startup NoteSquare describes a project that modified and applied CorrDiff to regional weather data from the Korea Meteorological Administration.
• Transform Natural Catastrophe Risk Simulations With Advanced Computational Tools: Presenters from NVIDIA, Amazon Web Services and multinational insurance corporation AXA will share how AXA uses Earth-2 to simulate extreme weather.

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American Sign Language is the third most prevalent language in the United States — but there are vastly fewer AI tools developed with ASL data than data representing the country’s most common languages, English and Spanish.

NVIDIA, the American Society for Deaf Children and creative agency Hello Monday are helping close this gap with Signs, an interactive web platform built to support ASL learning and the development of accessible AI applications.

Sign language learners can access the platform’s validated library of ASL signs to expand their vocabulary with the help of a 3D avatar that demonstrates signs — and use an AI tool that analyzes webcam footage to receive real-time feedback on their signing. Signers of any skill level can contribute by signing specific words to help build an open-source video dataset for ASL.

The dataset — which NVIDIA aims to grow to 400,000 video clips representing 1,000 signed words — is being validated by fluent ASL users and interpreters to ensure the accuracy of each sign, resulting in a high-quality visual dictionary and teaching tool.

“Most deaf children are born to hearing parents. Giving family members accessible tools like Signs to start learning ASL early enables them to open an effective communication channel with children as young as six to eight months old,” said Cheri Dowling, executive director of the American Society for Deaf Children. “And knowing that professional ASL teachers have validated all the vocabulary on the platform, users can be confident in what they’re learning.”

NVIDIA teams plan to use this dataset to further develop AI applications that break down communication barriers between the deaf and hearing communities. The data is slated to be available to the public as a resource for building accessible technologies including AI agents, digital human applications and video conferencing tools. It could also be used to enhance Signs and enable ASL platforms across the ecosystem with real-time, AI-powered support and feedback.

Supporting ASL Education, Exploring Language Nuance

During the data collection phase, Signs already provides a powerful platform for ASL language acquisition, offering opportunities for individuals to learn and practice an initial set of 100 signs so they can more effectively communicate with friends or family members who use ASL.

“The Signs learning platform could help families with deaf children quickly search for a specific word and see how to make the corresponding sign. It’s a tool that can help support their everyday use of ASL outside of a more formal class,” Dowling said. “I see both kids and parents exploring it — and I think they could play with it together.”

While Signs currently focuses on hand movements and finger positions for each sign, ASL also incorporates facial expressions and head movements to convey meaning. The team behind Signs is exploring how these non-manual signals can be tracked and integrated in future versions of the platform.

They’re also investigating how other nuances, like regional variations and slang terms, can be represented in Signs to enrich its ASL database — and working with researchers at the Rochester Institute of Technology’s Center for Accessibility and Inclusion Research to evaluate and further improve the user experience of the Signs platform for deaf and hard-of-hearing users.

“Improving ASL accessibility is an ongoing effort,” said Anders Jessen, founding partner of Hello Monday/DEPT, which built the Signs web platform and previously worked with the American Society for Deaf Children on Fingerspelling.xyz, an application that taught users the ASL alphabet. “Signs can serve the need for advanced AI tools that help transcend communication barriers between the deaf and hearing communities.”

The dataset behind Signs is planned for release later this year.

Start learning or contributing with Signs at signs-ai.com, and learn more about NVIDIA’s trustworthy AI initiatives. Attendees of NVIDIA GTC, a global AI conference taking place March 17-21 in San Jose, will be able to participate in Signs live at the event.

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Wield magic and steel as GeForce NOW’s fifth-anniversary celebration summons Obsidian Entertainment’s highly anticipated Avowed to the cloud.

This first-person fantasy role-playing game is ready to enchant cloud gamers, leading the charge of six titles joining the over 2,000 games in the cloud gaming library.

GeForce NOW day passes are available to purchase again, in limited quantities each day. Members can currently purchase one day at a time, based on available capacity. Day pass users get 24-hour access to powerful cloud gaming with all the benefits of a GeForce NOW Ultimate or Performance membership. Stay tuned for updates as more membership options become available.

Choose Your Own Adventure

Embark on a thrilling adventure in Avowed, set in the captivating world of Eora. As an envoy of Aedyr, explore the mysterious Living Lands, an island teeming with ancient magic and shifting secrets, as a dire threat looms over the realm: a mysterious plague that defies nature and reason, spreading chaos across the sprawling wilderness.

The Living Lands offer a diverse array of environments to explore, each with a unique ecosystem. Engage in visceral combat by mixing and matching swords, spells, guns and shields. Companions of various species, each with their own abilities and quests, will join the adventure, their fates intertwined with the players’ choices. As the story unfolds, every decision will ripple across the Living Lands, shaping the future of its inhabitants and testing the players’ resolve in the face of intrigue, power and danger.

GeForce NOW members can dive into this immersive fantasy world with the power of GeForce RTX-powered gaming rigs in the cloud. Ultimate members can stream the game at up to 4K resolution and 60 frames per second with high dynamic range on supported devices. These members enjoy additional benefits like NVIDIA DLSS 3 technology for enhanced frame rates and NVIDIA Reflex for ultra-low latency, delivering a seamless and visually stunning adventure through the Living Lands.

Time to Play

Lost Records: Bloom & Rage is the recently released narrative-adventure game by Don’t Nod, the creators of Life Is Strange. Set in the fictional Michigan town of Velvet Cove, the game follows four friends — Swann, Nora, Autumn and Kat — during the summer of 1995, as well as 27 years later in 2022.

Explore Swann’s world through a nostalgic 90s lens, complete with a camcorder for capturing and reliving memories. The story unfolds across two timelines, delving into themes of friendship and identity, as well as a mysterious secret that tore the group apart. With its immersive storytelling, interactive environments and choice-driven gameplay, Lost Records: Bloom & Rage promises a captivating journey through time, nostalgia and the complexities of lifelong friendships.

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

• Avowed (New release on Steam, Battle.net and Xbox, available on PC Game Pass, Feb. 18)
• Warhammer 40,000: Rogue Trader (New release on Xbox, available on PC Game Pass, Feb. 20)
• Lost Records: Bloom & Rage (New release on Steam, Feb. 18)
• Abiotic Factor (Steam)
• HUMANITY (Steam)
• Songs of Silence (Steam)

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

What’s a gaming promise you made to yourself this year?

— NVIDIA GeForce NOW (@NVIDIAGFN) February 19, 2025

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