Browsing: Tech

The Dream Life Awaits: Play ‘inZOI’ on GeForce NOW Anytime, Anywhere​on March 27, 2025 at 1:00 pm

A new resident is moving into the cloud — KRAFTON’s inZOI joins the 2,000+ games in the GeForce NOW cloud gaming library. Plus, members can get ready for an exclusive sneak peek as the Sunderfolk First Look Demo comes to the cloud. The demo is exclusively available for players on GeForce NOW until April 7,
Read ArticleA new resident is moving into the cloud — KRAFTON’s inZOI joins the 2,000+ games in the GeForce NOW cloud gaming library. Plus, members can get ready for an exclusive sneak peek as the Sunderfolk First Look Demo comes to the cloud. The demo is exclusively available for players on GeForce NOW until April 7,
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A new resident is moving into the cloud — KRAFTON’s inZOI joins the 2,000+ games in the GeForce NOW cloud gaming library.

Plus, members can get ready for an exclusive sneak peek as the Sunderfolk First Look Demo comes to the cloud. The demo is exclusively available for players on GeForce NOW until April 7, including Performance and Ultimate members as well as free users.

And explore the world of Atomfall — part of 12 games joining the cloud this week.

Cloud of Possibilities

In inZOI — a groundbreaking life simulation game by Krafton that pushes the genre’s boundaries — take on the role of an intern at AR COMPANY, managing virtual beings called “Zois” in a simulated city.

The game features over 400 mental elements influencing Zois’ behaviors. Experience the game’s dynamic weather system, open-world environments inspired by real locations and cinematic cut scenes for key life events — and even create in-game objects. inZOI lets players craft unique stories and live out their dreams in a meticulously designed virtual world.

Dive into the world of Zois without the need for high-end hardware. Members can manage their virtual homes, customize characters and explore the game’s dynamic environments from various devices, streaming its detailed graphics and complex simulations with ease.

A Magical Gateway

Sunderfolk’s First Look Demo has arrived on GeForce NOW, offering a tantalizing look into the magical realm of the Sunderlands. Designed as a TV-first experience, this shared-turn-based tactical role-playing game (RPG) enables using a mobile phone as the gameplay controller. Up to four players can gather around the big screen and embark on a journey filled with strategic battles.

This second-screen approach keeps players engaged in real time, adding new layers of immersion. With all six unique character classes unlocked from the start, players can experience the early hours of the game, experimenting with different team compositions and tactics to overcome the challenges that await.

Accessing the demo is a breeze — head to the GeForce NOW app, select Sunderfolk and jump right in. Explore the Sunderlands, engage in flexible turn-based combat and help rebuild the village of Arden to get a taste of the full game’s depth and camaraderie.

Gather the gaming squad, grab a phone and prepare to write a completely new legend in this RPG adventure. The First Look Demo is only available on GeForce NOW, where members can enjoy high-quality graphics and seamless gameplay on their phones and tablets, along with the innovative mobile-as-controller mechanic that makes Sunderfolk’s couch co-op experience so engaging.

Epic Adventures Await

Blending folk horror and intense combat, Atomfall is a survival-action game set in an alternate 1960s Britain, where the Windscale nuclear disaster has left Northern England a radioactive wasteland. Players explore eerie open zones filled with mutated creatures, cultists and Cold War mysteries while scavenging resources, crafting weapons and uncovering the truth behind the disaster. GeForce NOW members can stream it today across their devices of choice.

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

• Sunderfolk First Look Demo (New release, March 25)
• Atomfall (New release on Steam and Xbox available on PC Game Pass, March 27)
• The First Berserker: Khazan (New release on Steam, March 27)
• inZOI (New release on Steam, March 27)
• Beholder (Epic Games Store)
• Bus Simulator 21 (Epic Games Store)
• Galacticare (Xbox, available on PC Game Pass)
• Half-Life 2 RTX Demo (Steam)
• The Legend of Heroes: Trails through Daybreak II (Steam)
• One Lonely Outpost (Xbox, available on PC Game Pass)
• Psychonauts (Xbox, available on PC Game Pass)
• Undying (Epic Games Store)

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

Which game do you think deserves a sequel? ➡️

— 🌩️ NVIDIA GeForce NOW (@NVIDIAGFN) March 26, 2025

A new resident is moving into the cloud — KRAFTON’s inZOI joins the 2,000+ games in the GeForce NOW cloud gaming library. Plus, members can get ready for an exclusive sneak peek as the Sunderfolk First Look Demo comes to the cloud. The demo is exclusively available for players on GeForce NOW until April 7,
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MILAN — Finland, which shares NATO’s longest border with Russia, will withdraw from the Ottawa Convention banning anti-personnel landmines, according…

Industrial Ecosystem Adopts Mega NVIDIA Omniverse Blueprint to Train Physical AI in Digital Twins​on March 31, 2025 at 4:00 pm

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities.  Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize
Read ArticleAdvances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities.  Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize
Read Article  

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities.

Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize entire facilities. In these ways, physical AI is becoming integral to today’s industrial operations.

Helping industrial enterprises accelerate the development, testing and deployment of physical AI, the Mega NVIDIA Omniverse Blueprint for testing multi-robot fleets in digital twins is now available in preview on build.nvidia.com.

At Hannover Messe — a trade show on industrial development running through April 4 in Germany — manufacturing, warehousing and supply chain leaders such as Accenture and Schaeffler are showcasing their adoption of the blueprint to simulate Digit, a humanoid robot from Agility Robotics, and discussing how they use industrial AI and digital twins to optimize facility layouts, material flow and collaboration between humans and robots inside complex production environments.

In addition, NVIDIA  ecosystem partners — including Delta Electronics, Rockwell Automation and Siemens — are announcing further integrations with NVIDIA Omniverse and NVIDIA AI technologies at the event.

Digital Twins — the Training Ground for Physical AI

Industrial facility digital twins are physically accurate virtual replicas of real-world facilities that serve as critical testing grounds for simulating and validating physical AI and how robots and autonomous fleets interact, collaborate and tackle complex tasks before  deployment.

Developers can use NVIDIA Omniverse platform technologies and the Universal Scene Description (OpenUSD) framework to develop digital twins of their facilities and processes. This simulation-first approach dramatically accelerates development cycles while reducing the costs and risks associated with real-world testing.

Built for a Diversity of Robots and AI Agents

The Mega blueprint equips industrial enterprises with a reference workflow for combining sensor simulation and synthetic data generation to simulate complex human-robot interactions and verify the performance of autonomous systems in industrial digital twins.

Enterprises can use Mega to test various robot brains and policies at scale for mobility, navigation, dexterity and spatial reasoning. This enables fleets comprising different types of robots to work together as a coordinated system.

As robot brains execute their missions in simulation, they perceive the results of their actions through sensor simulation and plan their next action. This cycle continues until the policies are refined and ready for deployment.

Once validated, these policies are deployed to real robots, which continue to learn from their environment — sending sensor information back through the entire loop and creating a continuous learning and improvement cycle.

Transforming Industrial Operations With Visual AI Agents

In addition to AMRs and humanoid robots, advanced visual AI agents extract information from live and recorded video data, enabling new levels of intelligence and automation. These visual AI agents bring real-time contextual awareness to robots and help to improve worker safety, maintain warehouse compliance, support visual inspection and maximize space utilization.

To support developers building visual AI agents, which can be integrated with the Mega blueprint, NVIDIA last year announced an AI Blueprint for video search and summarization (VSS). At Hannover Messe, leading partners are featuring how they use the VSS blueprint to improve productivity and operational efficiency.

Accelerating Industrial Digitalization

The industrial world is now experiencing its software-defined moment, with visual AI agents and digital twins as the training ground for physical AI.

Join NVIDIA and its partners at Hannover Messe to discover how AI agents and real-time simulation, powered by NVIDIA’s Three Computer Solution, are reshaping industrial workflows and driving innovation, automation and efficiency in manufacturing.

Read the technical blog to learn more about the Mega blueprint for industrial robot fleets. See the blueprint in action on this interactive demo page.

Stay up to date by subscribing to NVIDIA news, joining the Omniverse community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.

Explore the new self-paced Learn OpenUSD training curriculum that includes free NVIDIA Deep Learning Institute courses for 3D practitioners and developers.

Featured image courtesy of Accenture, Agility Robotics and Schaeffler.

See notice regarding software product information.

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the world’s factories, warehouses and industrial facilities.  Humanoid robots can work alongside human teams, autonomous mobile robots (AMRs) can navigate complex warehouse environments, and intelligent cameras and visual AI agents can monitor and optimize
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Retired Lt. Gen. Dan Caine, President Donald Trump’s pick to be the nation’s highest-ranking military officer, sought to reassure lawmakers…

NVIDIA GeForce RTX 50 Series Accelerates Adobe Premiere Pro and Media Encoder’s 4:2:2 Color Sampling​on April 2, 2025 at 1:00 pm

Video editing workflows are getting a lot more colorful. Adobe recently announced massive updates to Adobe Premiere Pro (beta) and Adobe Media Encoder, including PC support for 4:2:2 video color editing. The 4:2:2 color format is a game changer for professional video editors, as it retains nearly as much color information as 4:4:4 while greatly
Read ArticleVideo editing workflows are getting a lot more colorful. Adobe recently announced massive updates to Adobe Premiere Pro (beta) and Adobe Media Encoder, including PC support for 4:2:2 video color editing. The 4:2:2 color format is a game changer for professional video editors, as it retains nearly as much color information as 4:4:4 while greatly
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Video editing workflows are getting a lot more colorful.

Adobe recently announced massive updates to Adobe Premiere Pro (beta) and Adobe Media Encoder, including PC support for 4:2:2 video color editing.

The 4:2:2 color format is a game changer for professional video editors, as it retains nearly as much color information as 4:4:4 while greatly reducing file size. This improves color grading and chroma keying — using color information to isolate a specific range of hues — while maximizing efficiency and quality.

In addition, new NVIDIA GeForce RTX 5090 and 5080 laptops — built on the NVIDIA Blackwell architecture — are out now, accelerating 4:2:2 and advanced AI-powered features across video-editing workflows.

Adobe and other industry partners are attending NAB Show — a premier gathering of over 100,000 leaders in the broadcast, media and entertainment industries — running April 5-9 in Las Vegas. Professionals in these fields will come together for education, networking and exploring the latest technologies and trends.

Shed Some Color on 4:2:2

Consumer cameras that are limited to 4:2:0 color compression capture a limited amount of color information. 4:2:0 is acceptable for video playback on browsers, but professional video editors often rely on cameras that capture 4:2:2 color depth with precise color accuracy to ensure higher color fidelity.

Adobe Premiere Pro’s beta with 4:2:2 means video data can now provide double the color information with just a 1.3x increase in raw file size over 4:2:0. This unlocks several key benefits within professional video-production workflows:

Increased Color Accuracy: 10-bit 4:2:2 retains more color information compared with 8-bit 4:2:0, leading to more accurate color representation and better color grading results.

More Flexibility: The extra color data allows for increased flexibility during color correction and grading, enabling more nuanced adjustments and corrections.

Improved Keying: 4:2:2 is particularly beneficial for keying — including green screening — as it enables cleaner, more accurate extraction of the subject from the background, as well as cleaner edges of small keyed objects like hair.

Smaller File Sizes: Compared with 4:4:4, 4:2:2 reduces file sizes without significantly impacting picture quality, offering an optimal balance between quality and storage.

Combining 4:2:2 support with NVIDIA hardware increases creative possibilities.

Advanced Video Editing

Prosumer-grade cameras from most major brands support HEVC and H.264 10-bit 4:2:2 formats to deliver superior image quality, manageable file sizes and the flexibility needed for professional video production.

GeForce RTX 50 Series GPUs paired with Microsoft Windows 11 come with GPU-powered decode acceleration in HEVC and H.264 10-bit 4:2:2 formats.

GPU-powered decode enables faster-than-real-time playback without stuttering, the ability to work with original camera media instead of proxies, smoother timeline responsiveness and reduced CPU load — freeing system resources for multi-app workflows and creative tasks.

RTX 50 Series’ 4:2:2 hardware can decode up to six 4K 60 frames-per-second video sources on an RTX 5090-enabled studio PC, enabling smooth multi-camera video-editing workflows on Adobe Premiere Pro.

Video exports are also accelerated with NVIDIA’s ninth-generation encoder and sixth-generation decoder.

In GeForce RTX 50 Series GPUs, the ninth-generation NVIDIA video encoder, NVENC, offers an 8% BD-BR upgrade in video encoding efficiency when exporting to HEVC on Premiere Pro.

Adobe AI Accelerated

Adobe delivers an impressive array of advanced AI features for idea generation, enabling streamlined processes, improved productivity and opportunities to explore new artistic avenues — all accelerated by NVIDIA RTX GPUs.

For example, Adobe Media Intelligence, a feature in Premiere Pro (beta) and After Effects (beta), uses AI to analyze footage and apply semantic tags to clips. This lets users more easily and quickly find specific footage by describing its content, including objects, locations, camera angles and even transcribed spoken words.

Media Intelligence runs 30% faster on the GeForce RTX 5090 Laptop GPU compared with the GeForce RTX 4090 Laptop GPU.

In addition, the Enhance Speech feature in Premiere Pro (beta) improves the quality of recorded speech by filtering out unwanted noise and making the audio sound clearer and more professional. Enhance Speech runs 7x faster on GeForce RTX 5090 Laptop GPUs compared to the MacBook Pro M4 Max.

Visit Adobe’s Premiere Pro page to download a free trial of the beta and explore the slew of AI-powered features across the Adobe Creative Cloud and Substance 3D apps.

Unleash (AI)nfinite Possibilities

GeForce RTX 5090 and 5080 Series laptops deliver the largest-ever generational leap in portable performance for creating, gaming and all things AI.

They can run creative generative AI models such as Flux up to 2x faster in a smaller memory footprint, compared with the previous generation.

The previously mentioned ninth-generation NVIDIA encoders elevate video editing and livestreaming workflows, and come with NVIDIA DLSS 4 technology and up to 24GB of VRAM to tackle massive 3D projects.

NVIDIA Max-Q hardware technologies use AI to optimize every aspect of a laptop — the GPU, CPU, memory, thermals, software, display and more — to deliver incredible performance and battery life in thin and quiet devices.

All GeForce RTX 50 Series laptops include NVIDIA Studio platform optimizations, with over 130 GPU-accelerated content creation apps and exclusive Studio tools including NVIDIA Studio Drivers, tested extensively to enhance performance and maximize stability in popular creative apps.

Adobe will participate in the Creator Lab at NAB Show, offering hands-on training for editors to elevate their skills with Adobe tools. Attend a 30-minute section and try out Puget Systems laptops equipped with GeForce RTX 5080 Laptop GPUs to experience blazing-fast performance and demo new generative AI features.

Use NVIDIA’s product finder to explore available GeForce RTX 50 Series laptops with complete specifications.

New creative app updates and optimizations are powered by the NVIDIA Studio platform. Follow NVIDIA Studio on Instagram, X and Facebook. Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter. 

See notice regarding software product information.

Video editing workflows are getting a lot more colorful. Adobe recently announced massive updates to Adobe Premiere Pro (beta) and Adobe Media Encoder, including PC support for 4:2:2 video color editing. The 4:2:2 color format is a game changer for professional video editors, as it retains nearly as much color information as 4:4:4 while greatly
Read Article

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Speed Demon: NVIDIA Blackwell Takes Pole Position in Latest MLPerf Inference Results​on April 2, 2025 at 3:00 pm

In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute
Read ArticleIn the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute
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In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning.

Delivering on the promise of cutting-edge AI takes a new kind of compute infrastructure, called AI factories. Unlike traditional data centers, AI factories do more than store and process data — they manufacture intelligence at scale by transforming raw data into real-time insights. The goal for AI factories is simple: deliver accurate answers to queries quickly, at the lowest cost and to as many users as possible.

The complexity of pulling this off is significant and takes place behind the scenes. As AI models grow to billions and trillions of parameters to deliver smarter replies, the compute required to generate each token increases. This requirement reduces the number of tokens that an AI factory can generate and increases cost per token. Keeping inference throughput high and cost per token low requires rapid innovation across every layer of the technology stack, spanning silicon, network systems and software.

The latest updates to MLPerf Inference, a peer-reviewed industry benchmark of inference performance, include the addition of Llama 3.1 405B, one of the largest and most challenging-to-run open-weight models. The new Llama 2 70B Interactive benchmark features much stricter latency requirements compared with the original Llama 2 70B benchmark, better reflecting the constraints of production deployments in delivering the best possible user experiences.

In addition to the Blackwell platform, the NVIDIA Hopper platform demonstrated exceptional performance across the board, with performance increasing significantly over the last year on Llama 2 70B thanks to full-stack optimizations.

NVIDIA Blackwell Sets New Records

The GB200 NVL72 system — connecting 72 NVIDIA Blackwell GPUs to act as a single, massive GPU — delivered up to 30x higher throughput on the Llama 3.1 405B benchmark over the NVIDIA H200 NVL8 submission this round. This feat was achieved through more than triple the performance per GPU and a 9x larger NVIDIA NVLink interconnect domain.

While many companies run MLPerf benchmarks on their hardware to gauge performance, only NVIDIA and its partners submitted and published results on the Llama 3.1 405B benchmark.

Production inference deployments often have latency constraints on two key metrics. The first is time to first token (TTFT), or how long it takes for a user to begin seeing a response to a query given to a large language model. The second is time per output token (TPOT), or how quickly tokens are delivered to the user.

The new Llama 2 70B Interactive benchmark has a 5x shorter TPOT and 4.4x lower TTFT — modeling a more responsive user experience. On this test, NVIDIA’s submission using an NVIDIA DGX B200 system with eight Blackwell GPUs tripled performance over using eight NVIDIA H200 GPUs, setting a high bar for this more challenging version of the Llama 2 70B benchmark.

Combining the Blackwell architecture and its optimized software stack delivers new levels of inference performance, paving the way for AI factories to deliver higher intelligence, increased throughput and faster token rates.

NVIDIA Hopper AI Factory Value Continues Increasing

The NVIDIA Hopper architecture, introduced in 2022, powers many of today’s AI inference factories, and continues to power model training. Through ongoing software optimization, NVIDIA increases the throughput of Hopper-based AI factories, leading to greater value.

On the Llama 2 70B benchmark, first introduced a year ago in MLPerf Inference v4.0, H100 GPU throughput has increased by 1.5x. The H200 GPU, based on the same Hopper GPU architecture with larger and faster GPU memory, extends that increase to 1.6x.

Hopper also ran every benchmark, including the newly added Llama 3.1 405B, Llama 2 70B Interactive and graph neural network tests. This versatility means Hopper can run a wide range of workloads and keep pace as models and usage scenarios grow more challenging.

It Takes an Ecosystem

This MLPerf round, 15 partners submitted stellar results on the NVIDIA platform, including ASUS, Cisco, CoreWeave, Dell Technologies, Fujitsu, Giga Computing, Google Cloud, Hewlett Packard Enterprise, Lambda, Lenovo, Oracle Cloud Infrastructure, Quanta Cloud Technology, Supermicro, Sustainable Metal Cloud and VMware.

The breadth of submissions reflects the reach of the NVIDIA platform, which is available across all cloud service providers and server makers worldwide.

MLCommons’ work to continuously evolve the MLPerf Inference benchmark suite to keep pace with the latest AI developments and provide the ecosystem with rigorous, peer-reviewed performance data is vital to helping IT decision makers select optimal AI infrastructure.

Learn more about MLPerf. 

Images and video taken at an Equinix data center in the Silicon Valley.

In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute
Read Article

The Space Force has awarded Northrop Grumman a contract to develop a satellite refueling capability and demonstrate it through a…

NVIDIA’s Jacob Liberman on Bringing Agentic AI to Enterprises​on April 2, 2025 at 4:00 pm

AI is rapidly transforming how organizations solve complex challenges. The early stages of enterprise AI adoption focused on using large language models to create chatbots. Now, enterprises are using agentic AI to create intelligent systems that reason, act and execute complex tasks with a degree of autonomy. Jacob Liberman, director of product management at NVIDIA,
Read ArticleAI is rapidly transforming how organizations solve complex challenges. The early stages of enterprise AI adoption focused on using large language models to create chatbots. Now, enterprises are using agentic AI to create intelligent systems that reason, act and execute complex tasks with a degree of autonomy. Jacob Liberman, director of product management at NVIDIA,
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AI is rapidly transforming how organizations solve complex challenges.

The early stages of enterprise AI adoption focused on using large language models to create chatbots. Now, enterprises are using agentic AI to create intelligent multi-agent systems that reason, act and execute complex tasks with a degree of autonomy.

Jacob Liberman, director of product management at NVIDIA, joined the NVIDIA AI Podcast to explain how agentic AI bridges the gap between powerful AI models and practical enterprise applications.

Enterprises are deploying AI agents to free human workers from time-consuming and error-prone tasks. This allows people to spend more time on high-value work that requires creativity and strategic thinking.

Liberman anticipates it won’t be long before teams of AI agents and human workers collaborate to tackle complex tasks requiring reasoning, intuition and judgement. For example, enterprise software developers will work with AI agents to develop more efficient algorithms. And medical researchers will collaborate with AI agents to design and test new drugs.

NVIDIA AI Blueprints help enterprises build their own AI agents – including many of the use cases listed above.

“Blueprints are reference architectures implemented in code that show you how to take NVIDIA software and apply it to some productive task in an enterprise to solve a real business problem,” Liberman said.

The blueprints are entirely open source. A developer or service provider can deploy a blueprint directly, or customize it by integrating their own technology.

Liberman highlighted the versatility of the AI Blueprint for customer service, for example, which features digital humans.

“The digital human can be made into a bedside digital nurse, a sportscaster or a bank teller with just some verticalization,” he said.

Other popular NVIDIA Blueprints include a video search and summarization agent, an enterprise multimodal PDF chatbot and a generative virtual screening pipeline for drug discovery.

Time Stamps: 

1:14 – What is an AI agent?

17:25 – How software developers are early adopters of agentic AI.

19:50 – Explanation of test-time compute and reasoning models.

23:05 – Using AI agents in cybersecurity and risk management applications.

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No Foolin’: GeForce NOW Gets 21 Games in April​on April 3, 2025 at 1:00 pm

GeForce NOW isn’t fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into April’s adventures arrivals, which are truly no joke. Get ready to stream, play and conquer the eight games
Read ArticleGeForce NOW isn’t fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into April’s adventures arrivals, which are truly no joke. Get ready to stream, play and conquer the eight games
Read Article  

GeForce NOW isn’t fooling around.

This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into April’s adventures arrivals, which are truly no joke.

Get ready to stream, play and conquer the eight games available this week. Members can also get ahead of the pack with advanced access to South of Midnight, streaming soon before launch.

Unleash the Magic

South of Midnight, an action-adventure game developed by Compulsion Games, offers advanced access for gamers who purchase its Premium Edition. Dive into the title’s hauntingly beautiful world before launch, exploring its rich Southern gothic setting and unique magical combat system while balancing magic with melee attacks.

Set in a mystical version of the American South, the game combines elements of magic, mystery and adventure, weaving a compelling story that draws players in. The endless opportunities for exploration and combat, along with deep lore and engaging characters, make the game a must-play for fans of the action-adventure genre.

With its blend of dark fantasy and historical influences, South of Midnight is poised to deliver a unique gaming experience that will leave players spellbound.

GeForce NOW members can be among the first to get advanced access to the game without the hassle of downloads or updates. With an Ultimate or Performance membership, experience the game’s haunting landscapes and cryptid encounters with the highest frame rates and lowest latency — no need for the latest hardware.

April Is Calling

Verdansk, the original and iconic map from Call of Duty: Warzone, is making its highly anticipated return in the game’s third season, and available to stream on GeForce NOW. Known for its sprawling urban areas, rugged wilderness and points of interest like Dam and Superstore, Verdansk offers a dynamic battleground for intense combat. The map has been rebuilt from the ground up with key enhancements across audio, visuals and gameplay, getting back to basics and delivering nostalgia for fans.

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

• South of Midnight Advanced Access (Steam and Xbox, coming soon before launch)
• Cat Quest (Epic Games Store)
• Dark Deity 2 (Steam)
• Hero Siege (Steam)
• KARMA: The Dark World (Steam)
• Sky: Children of the Light (Steam)
• Train Sim World® 5 (Steam)
• Vivat Slovakia (Steam)

Here’s what to expect for April: 

• South of Midnight (New release on Steam and Xbox, available on PC Game Pass, April 8)
• Commandos Origins (New release on Steam and Xbox, available on PC Game Pass, April 9)
• The Talos Principle: Reawakened (New release on Steam, April 10)
• Night Is Coming (New release on Steam, April 14)
• Mandragora: Whispers of the Witch Tree (New release on Steam, April 17)
• Sunderfolk (New release on Steam, April 23)
• Clair Obscur: Expedition 33 (New release on Steam and Xbox, available on PC Game Pass, April 24)
• Tempest Rising (New release on Steam, April 24)
• Aimlabs (Steam)
• Backrooms: Escape Together (Steam)
• Blood Strike (Steam) 
• ContractVille (Steam)
• EXFIL (Steam)

March Madness

In addition to the 14 games announced last month, 26 more joined the GeForce NOW library:

• Aliens: Dark Descent (Xbox, available on PC Game Pass)
• Beholder (Epic Games Store)
• Bus Simulator 21 (Epic Games Store)
• Citizen Sleeper 2: Starward Vector (Xbox, available on PC Game Pass)
• Crime Boss: Rockay City (Epic Games Store)
• Eternal Strands (Xbox, available on PC Game Pass)
• Fable Anniversary (Steam)
• FragPunk (New release on Steam, March 6)
• Galacticare (Xbox, available on PC Game Pass)
• Ghostrunner 2 (Epic Games Store)
• Heroes of the Storm (Battle.net) 
• Kingdom Come: Deliverance II (Epic Games Store)
• Microtopia (Steam)
• Monster Hunter Wilds (Steam)
• Nine Sols (Xbox, available on PC Game Pass)
• One Lonely Outpost (Xbox, available on PC Game Pass)
• Orcs Must Die! Deathtrap (Xbox, available on PC Game Pass)
• Prey (Epic Games Store, Steam and Xbox, available on PC Game Pass)
• Quake Live (Steam)
• Skydrift Infinity (Epic Games Store)
• To the Rescue! (Epic Games Store)
• Undying (Epic Games Store)
• Warcraft I: Remastered (Battle.net)
• Warcraft II: Remastered (Battle.net)
• Warcraft III: Reforged (Battle.net)
• Warcraft Rumble (Battle.net)

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

What’s a gaming moment that made you laugh out loud?

— 🌩️ NVIDIA GeForce NOW (@NVIDIAGFN) April 2, 2025

GeForce NOW isn’t fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into April’s adventures arrivals, which are truly no joke. Get ready to stream, play and conquer the eight games
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Nintendo Switch 2 Leveled Up With NVIDIA AI-Powered DLSS and 4K Gaming​on April 3, 2025 at 1:00 pm

The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, APIs
Read ArticleThe Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, APIs
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The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements.

With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, application programming interfaces (APIs) and world-class development tools — the Nintendo Switch 2 brings major upgrades.

The new console enables up to 4K gaming in TV mode and up to 120 frames per second at 1080p in handheld mode. Nintendo Switch 2 also supports high dynamic range and AI upscaling to sharpen visuals and smooth gameplay.

AI and Ray Tracing for Next-Level Visuals

The new RT Cores bring real-time ray tracing, delivering lifelike lighting, reflections and shadows for more immersive worlds.

Tensor Cores power AI-driven features like Deep Learning Super Sampling (DLSS), boosting resolution for sharper details without sacrificing image quality.

Tensor Cores also enable AI-powered face tracking and background removal in video chat use cases, enhancing social gaming and streaming.

With millions of players worldwide, the Nintendo Switch has become a gaming powerhouse and home to Nintendo’s storied franchises. Its hybrid design redefined console gaming, bridging TV and handheld play.

More Power, Smoother Gameplay

With 10x the graphics performance of the Nintendo Switch, the Nintendo Switch 2 delivers smoother gameplay and sharper visuals.

• Tensor Cores boost AI-powered graphics while keeping power consumption efficient.
• RT Cores enhance in-game realism with dynamic lighting and natural reflections.
• Variable refresh rate via NVIDIA G-SYNC in handheld mode ensures ultra-smooth, tear-free gameplay.

Tools for Developers, Upgrades for Players

Developers get improved game engines, better physics and optimized APIs for faster, more efficient game creation.

Powered by NVIDIA technologies, Nintendo Switch 2 delivers for both players and developers.

The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, APIs
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PARIS — France is calling for a new European plan to ramp up ammunition production, including of complex ordnance such…

NVIDIA Showcases Real-Time AI and Intelligent Media Workflows at NAB​on April 3, 2025 at 3:00 pm

Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation.  At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues
Read ArticleReal-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation.  At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues
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Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation. 

At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues and broadcasters.  

Attendees can experience the power of the NVIDIA Blackwell platform, which serves as the foundation of NVIDIA Media2 — a collection of NVIDIA technologies including NVIDIA NIM microservices and NVIDIA AI Blueprints for live video analysis, accelerated computing platforms and generative AI software.   

Attendees can also see NVIDIA Holoscan for Media — an advanced real-time AI platform designed for live media workflows and applications — in action at the Dell booth, as well as experience the NVIDIA AI Blueprint for video search and summarization, which makes it easy to build and customize video analytics AI agents.  

NVIDIA will also present in these sessions: 

• Agentic Conversational AI — Transforming Engagement in Media and Entertainment 
• Asynchronous Sharing of Media Essence Data in Software-Defined Workflows 
• AI on Location: Deploying Private Networks and Edge Compute for Next-Gen Production Workflows
• Redefining Entertainment: AI, Advanced Workflows and the Future of Media With Dell Technologies and NVIDIA 

Driving Innovation With Partners  

Partners across the industry are showcasing innovative solutions using NVIDIA technologies to accelerate live media. 

Amazon Web Services (booth W1701) will collaborate with NVIDIA to showcase an esport racing challenge through a live cloud production. The professional-grade racing simulator allows users to analyze their performance through cutting-edge AI-powered insights and step into the spotlight for their own post-race interview. Other demos will offer a peek into the future of live cloud production and generative AI in sports broadcasting. 

Beamr (booth SL1730MR) will demonstrate how it’s driving AV1 adoption with GPU-accelerated video processing. Beamr’s technology, powered by the NVIDIA NVENC encoder, enables cost-efficient, high-quality and scalable AV1 transformation. 

Dell (booth SL4616) is collaborating with a wide range of partners to highlight their latest innovations in the media industry. Autodesk will feature its Flame visual effects software for AI-driven compositing; Avid will demonstrate real-time editing and AI metadata tagging on Dell Pro Max high-performance PCs; and Boris FX and RE:Vision Effects will showcase their motion-tracking, slow-motion interpolation and object-removal technologies — all running on NVIDIA accelerated computing. In addition, Speed Read AI will showcase the use of NVIDIA RTX-powered workstations to analyze scripts in seconds, while Arcitecta and Elements will demonstrate high-speed media collaboration and post-production workflows on Dell PowerScale storage.  

HP (booth SL3723) will showcase its desktop and mobile workstation portfolio with NVIDIA RTX PRO Blackwell GPUs, delivering cutting-edge AI performance in a variety of use cases. Attendees can also find HP’s newly announced AI solutions, the HP ZGX Nano AI Station G1n and HP ZGX Fury AI Station G1n, developed in collaboration with NVIDIA.  

Qvest (booth W2055) will spotlight two new AI solutions that help clients increase audience engagement, simplify insight gathering and streamline workflows. The Agentic Live Multi-Camera Video Event Extractor identifies, detects and extracts near-real-time events into structured outputs in an easily configurable, natural language, no-code interface, and the No-Code Media-Centric AI Agent Builder extracts meaningful structured data from unstructured media formats including video, images and complex documents. Both use NVIDIA NIM microservices, NVIDIA NeMo, NVIDIA Holoscan for Media, the NVIDIA AI Blueprint for video search and summarization and more. 

Monks (booth W2530) will announce its complete suite of products and services for the media and entertainment industry, designed to drive innovation, monetization and efficiency. Monks uses tools under NVIDIA Media2, such as NIDIA NIM microservices and Holoscan for Media, to enable real-time audience feedback, AI-powered selective encoding and contextual content analysis for large archives. The company will also launch a new suite of vision language model service offerings with its strategic partner TwelveLabs.  

Supermicro (booth W3713) will demonstrate the ease of setting up and running a complete AI video pipeline with WAN 2.1 and Adobe Premiere Pro, all running on the new high-performance Supermicro AS -531AW-TC workstation with an NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPU. With RAVEL Orchestrate handling workstation and AI cluster orchestration, everything can run smoothly — from setup and deployment to user access and workload management.  

Speechmatics (booth W2317) will demonstrate its speech-to-text technology, which taps into NVIDIA accelerated computing to deliver highly accurate, real-time transcription across multiple languages and use cases, from media production to broadcast captioning. 

Telestream (booth W1501) will showcase its waveform monitoring solution, which seeks to bridge the gap for cloud-native workflows with a microservices architecture that taps into NVIDIA Holoscan for Media. In collaboration with NVIDIA, Telestream will demonstrate the ability to introduce cloud-native waveform monitoring to replicate broadcast center and master control room capabilities for engineering and creative teams. 

TwelveLabs (booth W3921) will showcase its newest models, which are being trained in part on NVIDIA DGX Cloud, to bring state-of-the-art video understanding to the world’s largest sports teams, clubs and leagues. The company is currently developing models based on NVIDIA NIM microservices to bring media and entertainment customers highly efficient inference and easy integration with leading software frameworks and agentic applications. 

VAST Data (booth SL9213) will spotlight the VAST InsightEngine — a solution that securely ingests, processes, and retrieves all enterprise data in real-time —– in a demo powered by the NVIDIA AI Enterprise software platform. Developed in collaboration with the National Hockey League, the demo showcases instant access to an archive of over 550,000 hours of hockey game footage. The work is set to redefine sponsorship analytics and empower video producers to instantly search, edit and deliver dynamic broadcast clips — fueling hyper-personalized fan experiences. 

Vizrt (booth W3031) will present its solution portfolio, which when matched with NVIDIA accelerated computing and NVIDIA Maxine technology, simplifies complex processes to support the immersive talent reflections, shadow casting and 3D pose tracking of Reality Connect, in addition to Particle Effects, Talent Gesture Control, XR Draw and the AI Gaze Correction feature available in the TriCaster Vizion. 

 V-Nova (booth W1252 and W1454) will spotlight its 6DoF virtual-reality experiences with new immersive content — Sharkarma and Weightless in booth W1252 — and AI-accelerated optimization in booth W1454, demonstrating how NVIDIA NVENC and NVIDIA GPUs unlock incredible video quality, efficiency and performance for critical video, AI and VR streaming cloud applications. 

Join NVIDIA at NAB Show 2025. 

Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation.  At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues
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From Browsing to Buying: How AI Agents Enhance Online Shopping​on April 3, 2025 at 3:00 pm

Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
Read ArticleEditor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform everyday experiences and reshape industries.

Online shopping puts a world of choices at people’s fingertips, making it convenient for them to purchase and receive orders — all from the comfort of their homes.

But too many choices can turn experiences from exciting to exhausting, leaving shoppers struggling to cut through the noise and find exactly what they need.

By tapping into AI agents, retailers can deepen their customer engagement, enhance their offerings and maintain a competitive edge in a rapidly shifting digital marketplace.

Every digital interaction results in new data being captured. This valuable customer data can be used to fuel generative AI and agentic AI tools that provide personalized recommendations and boost online sales. According to NVIDIA’s latest State of AI in Retail and Consumer-Packaged Goods report, 64% of respondents investing in AI for digital retail are prioritizing hyper-personalized recommendations.

Smart, Seamless and Personalized: The Future of Customer Experience

AI agents offer a range of benefits that significantly improve the retail customer experience, including:

• Personalized Experiences: Using customer insights and product information, these digital assistants can deliver the expertise of a company’s best sales associate, stylist or designer — providing tailored product recommendations, enhancing decision-making, and boosting conversion rates and customer satisfaction.
• Product Knowledge: AI agents enrich product catalogs with explanatory titles, enhanced descriptions and detailed attributes like size, warranty, sustainability and lifestyle uses. This makes products more discoverable and recommendations more personalized and informative, which increases consumer confidence.
• Omnichannel Support: AI provides seamless integration of online and offline experiences, facilitating smooth transitions between digital and physical retail environments.
• Virtual Try-On Capabilities: Customers can easily visualize products on themselves or in their homes in real time, helping improve product expectations and potentially lowering return rates.
• 24/7 Availability: AI agents offer around-the-clock customer support across time zones and languages.

Real-World Applications of AI Agents in Retail

AI is redefining digital commerce, empowering retailers to deliver richer, more intuitive shopping experiences. From enhancing product catalogs with accurate, high-quality data to improving search relevance and offering personalized shopping assistance, AI agents are transforming how customers discover, engage with and purchase products online.

AI agents for catalog enrichment automatically enhance product information with consumer-focused attributes. These attributes can range from basic details like size, color and material to technical details such as warranty information and compatibility.

They also include contextual attributes, like sustainability, and lifestyle attributes, such as “for hiking.” AI agents can also integrate service attributes — including delivery times and return policies — making items more discoverable and relevant to customers while addressing common concerns to improve purchase results.

Amazon faced the challenge of ensuring complete and accurate product information for shoppers while reducing the effort and time required for sellers to create product listings. To address this, the company implemented generative AI using the NVIDIA TensorRT-LLM library. This technology allows sellers to input a product description or URL, and the system automatically generates a complete, enriched listing. The work helps sellers reach more customers and expand their businesses effectively while making the catalog more responsive and energy efficient.

AI agents for search tap into enriched data to deliver more accurate and contextually relevant search results. By employing semantic understanding and personalization, these agents better match customer queries with the right products, making the overall search experience faster and more intuitive.

Amazon Music has optimized its search capabilities using the Amazon SageMaker platform with NVIDIA Triton Inference Server and the NVIDIA TensorRT software development kit. This includes implementing vector search and transformer-based spell-correction models.

As a result, when users search for music — even with typos or vague terms — they can quickly find what they’re looking for. These optimizations, which make the search bar more effective and user friendly, have led to faster search times and 73% lower costs for Amazon Music.

AI agents for shopping assistants build on the enriched catalog and improved search functionality. They offer personalized recommendations and answer queries in a detailed, relevant, conversational manner, guiding shoppers through their buying journeys with a comprehensive understanding of products and user intent.

SoftServe, a leading IT advisor, has launched the SoftServe Gen AI Shopping Assistant, developed using the NVIDIA AI Blueprint for retail shopping assistants. SoftServe’s shopping assistant offers seamless and engaging shopping experiences by helping customers discover products and access detailed product information quickly and efficiently. One of its standout features is the virtual try-on capability, which allows customers to visualize how clothing and accessories look on them in real time.

Defining the Essential Traits of a Powerful AI Shopping Agent

Highly skilled AI shopping assistants are designed to be multimodal, understanding text- and image-based prompts, voice and more through large language models (LLMs) and vision language models. These AI agents can search for multiple items simultaneously, complete complicated tasks — such as creating a travel wardrobe — and answer contextual questions, like whether a product is waterproof or requires drycleaning.

This high level of sophistication offers experiences akin to engaging with a company’s best sales associate, delivering information to customers in a natural, intuitive way.

The building blocks of a powerful retail shopping agent include:

• Multimodal and Multi-Query Capabilities: These agents can process and respond to queries that combine text and images, making search processes more versatile and user friendly. They can also easily be extended to support other modalities such as voice.
• Integration With LLMs: Advanced LLMs, such as the NVIDIA Llama Nemotron family, bring reasoning capabilities to AI shopping assistants, enabling them to engage in natural, humanlike interactions. NVIDIA NIM microservices provide industry-standard application programming interfaces for simple integration into AI applications, development frameworks and workflows.
• Management of Structured and Unstructured Data: NVIDIA NeMo Retriever microservices provide the ability to ingest, embed and understand retailers’ suites of relevant data sources, such as customer preferences and purchases, product catalog text and image data, and more, helping ensure AI agent responses are relevant, accurate and context-aware.
• Guardrails for Brand Safe, On-Topic Conversations: NVIDIA NeMo Guardrails are implemented to help ensure that conversations with the shopping assistant remain safe and on topic, ultimately protecting brand values and bolstering customer trust.
• State-of-the-Art Simulation Tools: The NVIDIA Omniverse platform and partner simulation technologies can help visualize products in physically accurate spaces. For example, customers looking to buy a couch could preview how the furniture would look in their own living room.

By using these key technologies, retailers can design AI shopping agents that exceed customer expectations, driving higher satisfaction and improved operational efficiency.

Retail organizations that harness AI agents are poised to experience evolving capabilities, such as enhanced predictive analytics for further personalized recommendations.

And integrating AI with augmented- and virtual-reality technologies is expected to create even more immersive and engaging shopping environments — delivering a future where shopping experiences are more immersive, convenient and customer-focused than ever.

Learn more about the AI Blueprint for retail shopping assistants.

Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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