Posts in category: nVidia AI

As any new mom or dad can tell you, parenting can be a challenge — packed with big worries and small hassles. But it may be about to get a little bit easier thanks to Glüxkind Technologies and their smart stroller, Ella.

The company has just been named a CES 2023 Innovation Awards Honoree for their AI-powered stroller, which was designed to make life easier for new parents and caregivers.

“People love the rock-a-baby feature and the push and brake assist,” said Glüxkind co-founder and CEO Kevin Huang of a product that’s become an instant sensation at the annual technology industry confab. “When you’re able to hold your child and have the stroller take care of itself, that’s a pretty magical moment.”

The story behind the product that’s made headlines around the world began three years ago when Huang and his co-founder, Anne Hunger, had a baby daughter and went stroller shopping.

And, like all parents, they learned about the challenges of wrangling a stroller packed with baby gear and the safety concerns that have new parents shopping for the safest vehicles they can afford.

“I realized, ‘man, this stuff hasn’t changed in the last 30 years,’” Huang said.

Modern cars, for example, are equipped with systems that ensure they don’t roll backward when you’re stopped on a hill, Huang explained.

“So I thought maybe we can add some of the things already there for cars into this platform that actually carries our children, so we can have a safer and more convenient experience.”

The response from parents at CES was overwhelmingly positive. No surprise, given the in-depth research Huang and his team conducted with new parents.

But it’s also wowed tech enthusiasts worldwide, earning honors from the awards program produced by the Consumer Technology Association, the trade group behind the annual Las Vegas conference.

“We came to CES with the idea of announcing the product and getting maybe three to five writeups about what we were doing,” Huang said. “We didn’t expect the overwhelming amount of exposure we received.”

This year’s CES Innovation Awards program — overseen by an elite panel of judges, including media members, designers and engineers — received a record-high number of over 2,100 submissions, making it no small feat for Ella to come out on top.

SUBHEAD: AI-Powered Stroller Makes Parenting a Walk in the Park

Huang reports that NVIDIA’s Jetson edge AI platform powers the startup’s entire AI stack.

Glüxkind, based in Vancouver, Canada, is a member of NVIDIA Inception, a free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, opportunities to connect with venture capitalists, and co-marketing support to heighten the company’s visibility.

With Jetson, Huang explains that the stroller is able to use computer vision to map the stroller’s surroundings, using Jetson’s GPU and CPU to process and do pathfinding.

As a result, when the child isn’t in the stroller, parents can activate Ella’s intelligent hands-free strolling mode.

This advanced parent-assist technology helps parents focus on their kids rather than wrangling an empty stroller packed with diapers, snacks, and other supplies.

“It stays out of the way when you don’t need it, but it’s there when you do need it,” Huang said.

But while the stroller is intelligent — able to follow a caregiver as they hold a baby or help ensure the stroller doesn’t roll away on its own — it’s not designed to work independently.

Quite the opposite. With Ella’s adaptive push and brake assistance, caregivers can enjoy effortless walks no matter the terrain — uphill, downhill or even when fully loaded with groceries and toys.

Ella also has features that make parenting easier, such as Rock-My-Baby mode to help little ones get the sleep they need and built-in white noise playback.

“We’re trying to make it so the technology we’re building is augmentative to the parents’ experience to make parenting easier and safer,” Huang said.

The result: while parenting will never be a walk in the park, actually taking that newborn for an actual walk in the park will soon be a lot less of a hassle.

Image Credit: Glüxkind Technologies

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

To celebrate the upcoming Lunar New Year holiday, NVIDIA artist Zhelong Xu, aka Uncle Light, brought Chinese zodiac signs to life this week In the NVIDIA Studio — modernizing the ancient mythology in his signature style.

Chinese Tradition Brought to the 21st Century

NVIDIA principal artist Zhelong Xu is also co-founder of the Shanghai Magicstone Images studio and an art consultant for the Tencent TiMi Studio Group.

Xu is deeply passionate about modeling Chinese zodiac signs in 3D. His first serious attempt, Carefree Sheep, was chosen by Adobe Substance Painter, previously Allegorithmic, as the artwork on its first software launch screen.

Xu creates at least one piece for his zodiac series each year. Harboring a Cute Tiger is his most popular work, which reached over 16 million people on the Chinese social media app Weibo.

“I had the idea to turn this series into ceramic works, so I continued working with my friends in Jingdezhen to turn this series into physical objects,” he said.

“I wanted to do something different in the Year of the Rabbit, so I chose to color the rabbit in NVIDIA green to match the classical Chinese atmosphere and to bring out the Chinese New Year energy,” said Xu, who joined NVIDIA last year.

The two emerald rabbits, one with its ears up and the other with them down, are designed to look like they’re teeming with anticipation for the arrival of Lunar New Year.

Xu deployed ZBrush for initial modeling with its custom sculpting tools. He then UV mapped the 3D model in preparation for applying a special emerald texture made in Adobe Substance 3D Painter. NVIDIA RTX-accelerated light- and ambient-occlusion features baked and optimized the scene assets in mere seconds, letting Xu experiment with textures quickly and easily with his GeForce RTX 4090 GPU.

The artist quickly exported files to Blender to set up the environment and tinker with lighting. He added many Eastern-style architectural and furniture options from the PBRMAX.com asset library.

Movement within the viewport was seamless with Blender Cycles RTX-accelerated OptiX ray tracing for interactive, photorealistic modeling.

Xu then deployed his secret weapon: NVIDIA Omniverse, a platform for creating and operating metaverse applications. He saved files in Universal Scene Description (USD) format using the Omniverse export plug-in to import them into the NVIDIA Omniverse Create app for final modeling. Here, Xu made adjustments to the translucent emerald material to make it as realistic as possible.

Omniverse Create was incredibly useful for scene modifications, Xu said, as it enabled him to test lighting with his scene rendering in real time. This provided him with the most accurate iteration of final renders, allowing for more meaningful real-time edits.

“Thanks to the power of the GeForce RTX 4090 GPU and RTX optimization in Omniverse, I got the desired effect very quickly and tested a variety of lighting effects,” he said.

Omniverse gives 3D artists their choice of renderer within the viewport, with support for Pixar HD Storm, Chaos V-Ray, Maxon’s Redshift, OTOY Octane, Blender Cycles and more. Xu deployed the unbiased NVIDIA Iray renderer to complete the project.

View more of Xu’s work on ArtStation.

#NewYearNewArt Challenge 

With a new year will come new art, and we’d love to see yours! Use the hashtag #NewYearNewArt and tag @NVIDIAStudio to show off recent creations for a chance to be featured on our channels.

The challenge is off to a great start:

A new year means new art!

Join our Jan-Feb #NewYearNewArt challenge by sharing any new or relatively new art you’ve created for a chance to be featured on our channels!

Be sure to tag #NewYearNewArt and thanks to @AOi__Pan for sharing their new art. pic.twitter.com/lXiFLROhQh

— NVIDIA Studio (@NVIDIAStudio) January 10, 2023

Excellent artists like @rabbit.hole_renders have helped kick off the challenge with creativity that’s taking people to new worlds.  

Who’s playing this game?

Awesome submission to the #NewYearNewArt Challenge by rabbit.hole_renders (IG).

Share any new or relatively new art you’ve created with the tag #NewYearNewArt for a chance to be featured on our channels! pic.twitter.com/GyrdJPbcM5

— NVIDIA Studio (@NVIDIAStudio) January 14, 2023

Plus, get a dose of potassium with @graffitpl’s banana-based animation that comes with a side of mushrooms.

Were you looking for m̷o̷r̷e̷ spore banana animations? Look no further!

This dose of potassium comes from the brililant @graffitpl (IG).

Tag #NewYearNewArt in your recently created art for a chance to be featured until the end of February! pic.twitter.com/78ETFDtVH4

— NVIDIA Studio (@NVIDIAStudio) January 16, 2023

Keep your eyes peeled for more amazing submissions on the NVIDIA Studio Instagram stories.

Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter.

In their largest-ever joint AI initiative, NVIDIA and Dell Technologies today launched a wave of Dell PowerEdge systems available with NVIDIA acceleration, enabling enterprises to efficiently transform their businesses with AI.

A total of 15 next-generation Dell PowerEdge systems can draw from NVIDIA’s full AI stack — including GPUs, DPUs and the NVIDIA AI Enterprise software suite — providing enterprises the foundation required for a wide range of AI applications, including speech recognition, cybersecurity, recommendation systems and a growing number of groundbreaking language-based services.

The news was released at Dell’s PowerEdge .Next event, where NVIDIA founder and CEO Jensen Huang joined Dell Technologies founder and CEO Michael Dell in a fireside chat.

Commenting on how they’ve celebrated a 25-year history of collaboration, the two CEOs looked at solving enterprise challenges through the lens of AI.

“As the amount of data in the world expands, the majority of information technology capacity is going to be in service of machine intelligence,” said Dell. “Building systems for AI first is a huge opportunity for Dell and NVIDIA to collaborate.”

“AI has the power to transform every business by accelerating automation across every industry,” said Huang. “Working closely with Dell Technologies, we’re able to reach organizations around the globe with a powerful, energy-efficient AI computing platform that will boost the IQ of modern enterprise.”

Energy-Efficient AI 

A key highlight among Dell’s portfolio is Dell PowerEdge systems featuring NVIDIA BlueField-2 DPUs.

BlueField data processing units can offload, accelerate and isolate the networking and operating system stacks of the data center, which means businesses using NVIDIA DPUs could cut data center energy use by close to 25%, potentially saving them millions of dollars in energy bills. Dell PowerEdge servers with NVIDIA BlueField DPUs optimize performance and efficiency for private, hybrid and multi-cloud deployments, including those running VMware vSphere.

Additionally, systems featuring NVIDIA H100 GPUs have shown they are able to process data 25x more efficiently to deploy diverse AI models into production, and that NVIDIA-accelerated Dell PowerEdge servers are up to 300x more energy efficient for running inference on large language models — those exceeding 500 billion parameters — when compared to prior-generation non-accelerated servers.

Built First for AI

To help customers get their AI projects up and running fast, Dell PowerEdge servers accelerated with NVIDIA H100 GPUs come with a license for NVIDIA AI Enterprise software.

An end-to-end, secure, cloud-native suite of AI software, NVIDIA AI Enterprise streamlines the development and deployment of predictive AI and includes global enterprise support for a wide range of domain- and industry-specific workloads. NVIDIA AI Enterprise includes more than 50 frameworks and pretrained models as well as a set of AI workflows, all which can help organizations speed time to deployment while reducing costs of production-ready AI.

NVIDIA AI frameworks included in NVIDIA AI Enterprise 3.0 are NVIDIA Clara Parabricks for genomics, MONAI for medical imaging, NVIDIA Morpheus for cybersecurity, NVIDIA Metropolis for intelligent video analytics, NVIDIA DeepStream for vision AI, NVIDIA Merlin for recommender systems, and many others.  Additionally, it includes new AI workflows for building contact center intelligent virtual assistants, multi-language audio transcriptions and digital fingerprinting for cybersecurity threat detection.

Enterprises can immediately experience NVIDIA AI Enterprise in dozens of hands-on labs at no charge on NVIDIA LaunchPad with new AI workflow labs expected to debut next week.

Using a pretrained AI model from NVIDIA, startup Evozyne created two proteins with significant potential in healthcare and clean energy.

A joint paper released today describes the process and the biological building blocks it produced. One aims to cure a congenital disease, another is designed to consume carbon dioxide to reduce global warming.

Initial results show a new way to accelerate drug discovery and more.

“It’s been really encouraging that even in this first round the AI model has produced synthetic proteins as good as naturally occurring ones,” said Andrew Ferguson, Evozyne’s co-founder and a co-author of the paper. “That tells us it’s learned nature’s design rules correctly.”

A Transformational AI Model

Evozyne used NVIDIA’s implementation of ProtT5, a transformer model that’s part of NVIDIA BioNeMo, a software framework and service for creating AI models for healthcare.

“BioNeMo really gave us everything we needed to support model training and then run jobs with the model very inexpensively — we could generate millions of sequences in just a few seconds,” said Ferguson, a molecular engineer working at the intersection of chemistry and machine learning.

The model lies at the heart of Evovyne’s process called ProT-VAE. It’s a workflow that combines BioNeMo with a variational autoencoder that acts as a filter.

“Using large language models combined with variational autoencoders to design proteins was not on anybody’s radar just a few years ago,” he said.

Model Learns Nature’s Ways

Like a student reading a book, NVIDIA’s transformer model reads sequences of amino acids in millions of proteins. Using the same techniques neural networks employ to understand text, it learned how nature assembles these powerful building blocks of biology.

The model then predicted how to assemble new proteins suited for functions Evozyne wants to address.

“The technology is enabling us to do things that were pipe dreams 10 years ago,” he said.

A Sea of Possibilities

Machine learning helps navigate the astronomical number of possible protein sequences, then efficiently identifies the most useful ones.

The traditional method of engineering proteins, called directed evolution, uses a slow, hit-or-miss approach. It typically only changes a few amino acids in sequence at a time.

By contrast, Evozyne’s approach can alter half or more of the amino acids in a protein in a single round. That’s the equivalent of making hundreds of mutations.

“We’re taking huge jumps which allows us to explore proteins never seen before that have new and useful functions,” he said.

Using the new process, Evozyne plans to build a range of proteins to fight diseases and climate change.

Slashing Training Time, Scaling Models

“NVIDIA’s been an incredible partner on this work,” he said.

“They scaled jobs to multiple GPUs to speed up training,” said Joshua Moller, a data scientist at Evozyne. “We were getting through entire datasets every minute.”

That reduced the time to train large AI models from months to a week. “It allowed us to train models — some with billions of trainable parameters — that just would not be possible otherwise,” Ferguson said.

Much More to Come

The horizon for AI-accelerated protein engineering is wide.

“The field is moving incredibly quickly, and I’m really excited to see what comes next,” he said, noting the recent rise of diffusion models.

“Who knows where we will be in five years’ time.”

Sign up for early access to the NVIDIA BioNeMo to see how it can accelerate your applications.

GFN Thursday kicks each weekend off with new games and updates straight from the cloud. This week adds more games from publisher THQ Nordic to the GeForce NOW library, as part seven total additions.

Members can gear up to play these new titles the ultimate way with the upcoming release of the new Ultimate membership, delivering RTX 4080-class performance and elevated cloud gaming perks.

Just announced at CES 2023, HP is adding support for NVIDIA GeForce NOW through its OMEN Gaming Hub. Members will have access to the GeForce NOW library of over 1,500 titles built right into their latest HP laptops, making it even easier to stream at GeForce quality.

New Titles From THQ Nordic

Adventure to new and strange worlds with support for five THQ Nordic titles coming to the GeForce NOW library. Members can stream the Steam and Epic Games Store versions from their favorite digital stores across all GeForce NOW-compatible devices.

Follow the story of a former crusader knight called back into action to stop the unification of a powerful ancient artifact that could bring untold evil to the world in The Valiant. Rally warriors with different skills to the cause and build custom hero-squads to defeat your enemies. Stream from PC and Mac apps even in 4K resolution with the GeForce NOW Ultimate membership.

Play as evil alien Crypto-137 harvesting DNA from Earth’s citizens in the brazen action-adventure title Destroy All Humans!. Use an assortment of alien weaponry and psychic skills to bring down the government and reduce cities of the 1950s to rubble with a flying saucer.

Crypto the alien invader returns, groovier than ever, in Destroy All Humans! 2: Reprobed, the swinging sequel set in the ‘60s. Stream your intergalactic adventures on the big screen with NVIDIA SHIELD or Samsung Smart TVs in beautiful 4K.

Become the new owner of a hunting lodge, explore vast open-world environments, and hunt with a premium selection of firearms and equipment in Way of the Hunter. Enjoy the hunt on your own or with a friend in multiplayer co-op, and experience the great outdoors on the go playing from mobile devices.

Experience high-intensity outdoor racing and become a world-famous, professional off-road rider in MX vs ATV Legends. Compete against others in the new career mode, where choices lead to different paths on devices designed for enhanced streaming experiences like the Logitech G CLOUD or cloud gaming Chromebooks.

Upgrade to Ultimate Gaming

Ready for the ultimate cloud gaming performance? Upgrade to a GeForce NOW Ultimate membership and get ready for RTX 4080-class performance the moment it’s available.

GeForce NOW Ultimate is cloud gaming that is “beyond fast.” Powered by the NVIDIA Ada Lovelace architecture in upgraded GeForce NOW RTX 4080 SuperPODs, Ultimate members can stream at up to 240 frames per second for the lowest latency ever from the cloud, or up to 4K 120 fps.

Ultimate members can also take advantage of new ultrawide resolution support for their favorite PC games, and experience full ray tracing and DLSS 3 in supported titles for beautiful, cinematic-quality graphics.

Ultimate members can play today on GeForce NOW RTX 3080 rigs for the highest performance and lowest latency available in cloud gaming. And when GeForce RTX 4080-powered SuperPODs begin rolling out in North America and Europe later this month, Ultimate members will be the first to stream at RTX 4080-class power.

Sign up today — quantities are limited.

Gamers, Come Out to Play!

Get the gaming going this weekend with seven more titles supported on GeForce NOW:

• Tom Clancy’s The Division 2 (New release on Steam, Jan. 12)
• Dakar Desert Rally (Epic Games)
• Destroy All Humans! (Steam and Epic Games)
• Destroy All Humans! 2 – Reprobed (Steam and Epic Games)
• MX vs ATV Legends (Steam)
• The Valiant (Steam and Epic Games)
• Way of the Hunter (Steam and Epic Games)

While you’re getting ready for an out-of-this-world weekend full of gaming, we’ve got a question for you. Let us know your answer on Twitter or in the comments below.

You look out your window and see an alien invasion happening.

What do you grab first?

— NVIDIA GeForce NOW (@NVIDIAGFN) January 11, 2023

The global retail industry has a $100 billion problem.

“Shrinkage” — the loss of goods due to theft, damage and misplacement — significantly crimps retailers’ profits.

An estimated 65% of shrinkage is due to theft, according to the National Retail Federation’s 2022 Retail Security Survey, conducted in partnership with the Loss Prevention Research Council. And many retailers are reporting theft has more than doubled recently, driven by rising prices of food and other essentials.

To make it easier for developers to quickly build and roll out applications designed to prevent theft, NVIDIA today announced three Retail AI Workflows, built on its Metropolis microservices. They can be used as no-code or low-code building blocks for loss-prevention applications because they come pretrained with images of the most-stolen products as well as software to plug into existing store applications for point-of-sale machines and object and product tracking across entire stores.

“Retail theft is growing due to macro-dynamics, and threatens to overwhelm the industry,” said Read Hayes, director of the Loss Prevention Research Council. “Businesses are now facing the reality that investment in loss-prevention solutions is a critical requirement.”

The NVIDIA Retail AI Workflows, which are available through the NVIDIA AI Enterprise software suite, include:

• Retail Loss Prevention AI Workflow: The AI models within this workflow come pretrained to recognize hundreds of products most frequently lost to theft — including meat, alcohol and laundry detergent — and to recognize them in the varying sizes and shapes they’re offered. With synthetic data generation from NVIDIA Omniverse, retailers and independent software vendors can customize and further train the models to hundreds of thousands of store products. The workflow is based on a state-of-the-art few-shot learning technique developed by NVIDIA Research which, combined with active learning, identifies and captures any new products scanned by customers and sales associates during checkout to ultimately improve model accuracy.
• Multi-Camera Tracking AI Workflow: Delivers multi-target, multi-camera (MTMC) capabilities that allow application developers to more easily create systems that track objects across multiple cameras throughout the store. The workflow tracks objects and store associates across cameras and maintains a unique ID for each object. Objects are tracked through visual embeddings or appearance, rather than personal biometric information, to maintain full shopper privacy.
• Retail Store Analytics Workflow: Uses computer vision to provide insights for store analytics, such as store traffic trends, counts of customers with shopping baskets, aisle occupancy and more via custom dashboards.

The workflows are built on NVIDIA Metropolis microservices, a low- or no-code way of building AI applications. The microservices provide the building blocks for developing complex AI workflows and allow them to rapidly scale into production-ready AI apps.

Developers can easily customize and extend these AI workflows, including by integrating their own models. The microservices also make it easier to integrate new offerings with legacy systems, such as point-of-sale systems.

“NVIDIA’s new Retail AI Workflows built on Metropolis microservices allow us to customize our product, scale rapidly to fit our ever-growing customers’ needs better and continue to drive innovation in the retail space,” said Bobby Chowdary, chief technology officer at Radius.ai.

“As part of our applied AI offerings, Infosys is developing state-of-the-art loss prevention systems leveraging NVIDIA’s new workflows comprising pretrained models for retail SKU recognition and microservices architecture,” said Balakrishna D R, executive vice president and head of AI and Automation at Infosys. “It will enable us to deploy these solutions faster and rapidly scale across stores and product lines while also getting much higher levels of accuracy than before.”

NVIDIA will unveil additional details of its Retail AI Workflows at the National Retail Federation Conference in New York, Jan. 15-17.

Sign up for early access to the new NVIDIA Retail AI Workflows for developers and learn more in the NVIDIA Technical Blog. Join NVIDIA at #NRF2023.

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

3D and animation extraordinaire CG Geek completed an ambitious design challenge this week In the NVIDIA Studio — building a massive, sci-fi-inspired 3D world in only three days. The creation of the world, dubbed The Fullness of Time, was fast-tracked by his GeForce RTX 4090 GPU.

72 Hours to Build a Sci-Fi World

Animator and visual effects artist CG Geek teaches aspiring artists how to get started on his popular YouTube channel. He also shares tutorials on Blender, his favorite 3D app because “it’s open source, and the community is always challenging one another to push limits even further,” he said.

To see how far those limits could be pushed, CG Geek kicked off a timed design challenge last week as part of CES, putting together a fully rendered and animated project in only three days — powered by NVIDIA Studio technologies and his GeForce RTX 4090 GPU.

The artist polled his community on Instagram, Twitter and YouTube for a genre to use as a starting point for the project.

Sci-fi was the clear winner, so he envisioned what a far-future city skyline would look like. The first step was to populate the space with futuristic 3D buildings and skyscrapers.

CG Geek formed simple shapes in Blender, scaling them to match the sizes of real-world buildings. He then added materials and reflections to create beautifully textured structures before adding geometry, or geo nodes, a recently added feature in Blender and a crucial aspect of 3D modeling.

Geo nodes virtually eliminate procedural workflows. The traditional process of constructing objects follows a linear pattern, with one tool used after the next and each step only reversible by manual undo operations. Geo nodes allow for non-linear, non-destructive workflows and the instancing of objects to create incredibly detailed scenes using small amounts of data.

CG Geek scanned objects using his iPhone to create realistic 3D models from photos. He then used Adobe Photoshop to apply detailed textures, one of 30 GPU-accelerated features made possible by his GeForce RTX 4090 GPU. The RTX-accelerated Super Resolution feature, which uses AI to upscale images with higher quality, was especially useful for exporting textures across the entire piece, CG Geek said.

CG Geek added fine details like ivy and realistic wear and tear to his sci-fi buildings until he reached the desired look.

His process used during the challenge is covered in a tutorial on building detailed, low-poly sci-fi buildings in a matter of minutes:

CG Geek’s RTX 4090 GPU enables him to use Blender Cycle’s RTX-accelerated, AI-powered OptiX ray tracing in the viewport for interactive, photorealistic movement within such a detailed environment. This virtually eliminates wait times, allowing him to create at the speed of his imagination.

The artist quickly and easily applied realistic textures for the sand and water as well as animations. Final renders were delivered quickly with RTX-accelerated OptiX ray tracing in Blender Cycles.

It took CG Geek just 21 hours to build the futuristic metropolis and 10 hours to render it at 4K resolution.

“Currently, NVIDIA stands alone at the top of high-performance GPUs for 3D tasks like Blender,” he said. ”For real-time editing workflows, nothing comes close to beating the RTX 4090 GPU in speed.”

View more of CG Geek’s work and tutorials.

Five-to-Nine Hustle, Powered by NVIDIA Studio

Nine to five o’clock is when people typically have a job, classes or other responsibilities. For many artists, it’s from five to nine that the real creativity kicks in and inspirational juices start flowing.

More than ever, creators are turning their passions into opportunities and monetizing their side hustles. NVIDIA Studio is celebrating these entrepreneurs and helping them learn, explore and take their creative endeavors to the next level:

• With technology and resources — the latest advances in GPU-acceleration and AI-powered features help get the job done faster, plus Studio Drivers add creative app optimization and reliability to systems.
• With education — hundreds of select tutorials, free to the public and created by creative professionals, offer everything from quick tricks and tips to multipart, in-depth series to elevate and expand the skill sets of content creators.
• With inspiration — experience the creative journeys of interdimensional Studio artists, moving storytellers and esteemed streamers across creative fields in 3D animation, video editing, graphic design, photography and more.

Begin your side hustle journey with NVIDIA Studio.

#NewYearNewArt Challenge 

The latest NVIDIA Studio community challenge has kicked off: #NewYearNewArt.

A new year means new art!

Join our Jan-Feb #NewYearNewArt challenge by sharing any new or relatively new art you’ve created for a chance to be featured on our channels!

Be sure to tag #NewYearNewArt and thanks to @AOi__Pan for sharing their new art. pic.twitter.com/lXiFLROhQh

— NVIDIA Studio (@NVIDIAStudio) January 10, 2023

With a new year will come new art, and we’d love to see yours! Use the hashtag #NewYearNewArt and tag @NVIDIAStudio to show off recent creations for a chance to be featured on our channels.

Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter.

AI is at the heart of humanity’s most transformative innovations — from developing COVID vaccines at unprecedented speeds and diagnosing cancer to powering autonomous vehicles and understanding climate change.

Virtually every industry will benefit from adopting AI, but the technology has become more resource intensive as neural networks have increased in complexity. To avoid placing unsustainable demands on electricity generation to run this computing infrastructure, the underlying technology must be as efficient as possible.

Accelerated computing powered by NVIDIA GPUs and the NVIDIA AI platform offer the efficiency that enables data centers to sustainably drive the next generation of breakthroughs.

And now, timed with the launch of 4th Gen Intel Xeon Scalable processors, NVIDIA and its partners have kicked off a new generation of accelerated computing systems that are built for energy-efficient AI. When combined with NVIDIA H100 Tensor Core GPUs, these systems can deliver dramatically higher performance, greater scale and higher efficiency than the prior generation, providing more computation and problem-solving per watt.

The new Intel CPUs will be used in NVIDIA DGX H100 systems, as well as in more than 60 servers featuring H100 GPUs from NVIDIA partners around the world.

Supercharging Speed, Efficiency and Savings for Enterprise AI

The coming NVIDIA and Intel-powered systems will help enterprises run workloads an average of 25x more efficiently than traditional CPU-only data center servers. This incredible performance per watt means less power is needed to get jobs done, which helps ensure the power available to data centers is used as efficiently as possible to supercharge the most important work.

Compared to prior-generation accelerated systems, this new generation of NVIDIA-accelerated servers speed training and inference to boost energy efficiency by 3.5x – which translates into real cost savings, with AI data centers delivering over 3x lower total cost of ownership.

New 4th Gen Intel Xeon CPUs Move More Data to Accelerate NVIDIA AI

Among the features of the new 4th Gen Intel Xeon CPU is support for PCIe Gen 5, which can double the data transfer rates from CPU to NVIDIA GPUs and networking. Increased PCIe lanes allow for a greater density of GPUs and high-speed networking within each server.

Faster memory bandwidth also improves the performance of data-intensive workloads such as AI, while networking speeds — up to 400 gigabits per second (Gbps) per connection — support faster data transfers between servers and storage.

NVIDIA DGX H100 systems and servers from NVIDIA partners with H100 PCIe GPUs come with a license for NVIDIA AI Enterprise, an end-to-end, secure, cloud-native suite of AI development and deployment software, providing a complete platform for excellence in efficient enterprise AI.

NVIDIA DGX H100 Systems Supercharge Efficiency for Supersize AI

As the fourth generation of the world’s premier purpose-built AI infrastructure, NVIDIA DGX H100 systems provide a fully optimized platform powered by the operating system of the accelerated data center, NVIDIA Base Command software.

Each DGX H100 system features eight NVIDIA H100 GPUs, 10 NVIDIA ConnectX-7 network adapters and dual 4th Gen Intel Xeon Scalable processors to deliver the performance required to build large generative AI models, large language models, recommender systems and more.

Combined with NVIDIA networking, this architecture supercharges efficient computing at scale by delivering up to 9x more performance than the previous generation and 20x to 40x more performance than unaccelerated X86 dual-socket servers for AI training and HPC workloads. If a language model previously required 40 days to train on a cluster of X86-only servers, the NVIDIA DGX H100 using Intel Xeon CPUs and ConnectX-7 powered networking could complete the same work in as little as 1-2 days.

NVIDIA DGX H100 systems are the building blocks of an enterprise-ready, turnkey NVIDIA DGX SuperPOD, which delivers up to one exaflop of AI performance, providing a leap in efficiency for large-scale enterprise AI deployment.

NVIDIA Partners Boost Data Center Efficiency 

For AI data center workloads, NVIDIA H100 GPUs enable enterprises to build and deploy applications more efficiently.

Bringing a new generation of performance and energy efficiency to enterprises worldwide, a broad portfolio of systems with H100 GPUs and 4th Gen Intel Xeon Scalable CPUs are coming soon from NVIDIA partners, including ASUS, Atos, Cisco, Dell Technologies, Fujitsu, GIGABYTE, Hewlett Packard Enterprise, Lenovo, QCT and Supermicro.

As the bellwether of the efficiency gains to come, the Flatiron Institute’s Lenovo ThinkSystem with NVIDIA H100 GPUs tops the latest Green500 list — and NVIDIA technologies power 23 of the top 30 systems on the list. The Flatiron system uses prior-generation Intel CPUs, so even more efficiency is expected from the systems now coming to market.

Additionally, connecting servers with NVIDIA ConnectX-7 networking and Intel 4th Gen Xeon Scalable processors will increase efficiency and reduce infrastructure and power consumption.

NVIDIA ConnectX-7 adapters support PCIe Gen 5 and 400 Gbps per connection using Ethernet or InfiniBand, doubling networking throughput between servers and to storage. The adapters support advanced networking, storage and security offloads. ConnectX-7 reduces the number of cables and switch ports needed, saving 17% or more on electricity needed for the networking of large GPU-accelerated HPC and AI clusters and contributing to the better energy efficiency of these new servers.

NVIDIA AI Enterprise Software Delivers Full-Stack AI Solution

These next-generation systems also deliver a leap forward in operational efficiency as they’re optimized for the NVIDIA AI Enterprise software suite.

Running on NVIDIA H100, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines the development and deployment of predictive AI models to automate essential processes and gain rapid insights from data.

With an extensive library of full-stack software, including AI workflows of reference applications, frameworks, pretrained models and infrastructure optimization, the software provides an ideal foundation for scaling enterprise AI success.

To try out NVIDIA H100 running AI workflows and frameworks supported in NVIDIA AI Enterprise, sign up for NVIDIA LaunchPad free of charge.

Watch NVIDIA founder and CEO Jensen Huang speak at the 4th Gen Intel Xeon Scalable processor launch event.

Autonomous vehicle (AV) technology is heading to the mainstream.

The NVIDIA DRIVE ecosystem showcased significant milestones toward widespread intelligent transportation at CES. Growth is occurring in vehicle deployment plans as well as AI solutions integrating further into the car.

Foxconn joined the NVIDIA DRIVE ecosystem. The world’s largest technology manufacturer will produce electronic control units based on the NVIDIA DRIVE Orin systems-on-a-chip and build its electric vehicles using the NVIDIA DRIVE Hyperion platform.

The Polestar 3, which is powered by NVIDIA DRIVE Orin, made its U.S. debut, showcasing its new driver-monitoring system. Working with intelligent sensing company Smart Eye, the automaker is using AI to improve in-cabin safety and convenience.

Also appearing stateside for the first time was the Volvo EX90 fully electric SUV. Volvo Cars’ new flagship vehicle features centralized, software-defined compute powered by DRIVE Orin and NVIDIA DRIVE Xavier, and will begin deliveries in early 2024.

The Volvo EX90 was on display at the automotive technology company, Luminar’s booth (CES LVCC West Hall booth 5324). Luminar, an NVIDIA DRIVE ecosystem member, is providing its lidar technology to enable next-generation safety and, in the future, highway autonomy.

Elsewhere on the show floor, NVIDIA DRIVE ecosystem members such as Aeva with Plus, Imagry, Infineon with Lucid, u-blox and Valeo showcased the latest innovations in intelligent transportation.

These announcements mark a shift in the autonomous vehicle industry, from early stages to global deployment.

Foxconn Enters the AV Arena

Building safe, intelligent vehicles with highly automated and fully autonomous driving capabilities is a massive endeavor.

NVIDIA DRIVE offers an open, AI-enabled AV development platform for the industry to build upon. By adding Foxconn as a tier-one platform scaling partner, NVIDIA can greatly extend its efforts to meet growing demand.

In addition, Foxconn’s selection of DRIVE Hyperion will speed time to market for its state-of-the-art EVs with autonomous driving capabilities and lower its time-to-cost strategy.

The DRIVE Hyperion sensor suite is already qualified to ensure diverse, redundant real-time processing, which increases overall safety.

Inside AI

The industry is placing greater focus on interior safety and convenience features as AI takes over more driving tasks.

Driver monitoring is a key part of Polestar’s broader driver-understanding system, which includes features such as adaptive cruise control, lane-keep assist and pilot assist as standard. These coordinated systems run simultaneously on the centralized DRIVE Orin AI compute platform.

The Polestar 3, launched in October, features two closed-loop driver-monitoring cameras and software from Smart Eye (6353) which track the driver’s head, eye and eyelid movements, and can trigger warning messages, sounds or an emergency-stop function if a distracted, drowsy or disconnected driver is detected.

End-to-End Innovation

The rest of the CES show floor was brimming with new vehicle technologies poised to deliver more convenient and safer transportation.

Lucid showcased its flagship sedan, the Air, in partner Infineon’s booth (3829), breaking down the technologies that make up the award-winning EV. At its core is the NVIDIA DRIVE centralized compute platform, which powers its software-defined DreamDrive advanced driver assistance system.

In addition to personal transportation, NVIDIA DRIVE is powering safer, more efficient public transit, as well as delivery and logistics.

Israeli startup Imagry (booth 5874), a developer of mapless autonomous driving solutions, announced that its DRIVE Orin-based platform will power two autonomous bus pilots in its home country in 2023. Lidar maker Aeva showcased the latest vehicle from autonomous trucking company Plus, built on DRIVE Orin.

AV sensing and localization technology also exhibited significant advances. Global tier-one supplier Valeo (booth CP-17) demonstrated how it’s using the high-fidelity NVIDIA DRIVE Sim platform to develop intelligent active lighting solutions for low-light conditions. U-blox (booth 10963), which specializes in global satellite navigation satellite system solutions, showed the latest in AV localization, integrated into the NVIDIA DRIVE Hyperion architecture.

With every corner of the AV industry firing on all cylinders, CES 2023 is signaling the start to the widespread deployment of intelligent transportation.

GFN Thursday rings in the new year with a recap of the biggest cloud gaming news from CES 2023: the GeForce NOW Ultimate membership. Powered by the latest NVIDIA GPU technology, Ultimate members can play their favorite PC games at performance never before available from the cloud.

Plus, with a new year comes new games. GeForce NOW brings 24 more titles to the cloud in January, starting with five this week.

Ultimate Performance, Now in the Cloud

Get ready for cloud gaming that’s “beyond fast.” GeForce NOW is bringing RTX 4080 performance to the cloud with the new high-performance Ultimate membership.

The GeForce NOW Ultimate membership raises the bar on cloud gaming, bringing it closer than ever to a local gaming experience. It’s powered by the NVIDIA Ada Lovelace architecture in upgraded GeForce NOW RTX 4080 SuperPODs.

GeForce NOW Ultimate members receive three major streaming upgrades. First, the new SuperPODs are capable of rendering and streaming at up to 240 frames per second for the lowest latency ever from the cloud. Paired with NVIDIA Reflex, members’ game play will feel almost indistinguishable from a local desktop PC.

Second, supported streaming resolutions get an upgrade: Ultimate members can play their favorite PC games at up to 4K 120 fps on the native PC and Mac apps.

And third, for the first time, cloud gamers can play at native ultrawide resolutions, a long-requested feature from the GeForce NOW community. Experience your favorite adventures like A Plague Tale: Requiem, The Witcher 3: Wild Hunt, Shadow of the Tomb Raider and more at up to 3840×1600 resolutions for a truly immersive experience.

The Ultimate upgrade also brings support for the latest NVIDIA RTX technologies, like full ray tracing and DLSS 3 — introduced with the GeForce RTX 40 Series launch. They deliver beautiful, cinematic-quality graphics and use AI to keep frame rates smooth in supported games.

With support for NVIDIA G-SYNC-enabled monitors, GeForce NOW will vary the streaming rate to the client for the first time, delivering smooth and instantaneous frame updates to client screens on Reflex-enabled games — further driving down total latency.

Ultimate members will also continue to enjoy longer streaming sessions, fastest access to the highest-performance cloud gaming servers and game settings that persist from session to session.

The Ultimate Library Keeps Growing

There are more than 1,500 games supported in the GeForce NOW library, with more than 400 titles joining last year. Members can stream mega-hits from top publishers like Electronic Arts and Ubisoft, popular PC indie titles like Valheim and Rust, and over 100 of the biggest free-to-play games like Fortnite and Genshin Impact.

The new year also brings some of the biggest upcoming PC game launches on the service, starting with Portal with RTX later this week. Relive the critically acclaimed and award-winning Portal reimagined with full ray tracing and higher frame rates with DLSS 3 for those streaming from the cloud from an RTX 4080 SuperPOD.

Full ray tracing transforms each scene of Portal with RTX, enabling light to bounce and be affected by each area’s new high-resolution, physically based textures and enhanced high-poly models. Every light is ray traced and casts shadows for a new sense of realism. Global illumination indirect lighting naturally illuminates and darkens rooms, volumetric ray-traced lighting scatters through fog and smoke, and shadows are pixel perfect.

This ray-traced reimagining of Valve’s classic game was built using a revolutionary modding tool called NVIDIA RTX Remix, which brings the test chambers of Portal’s “Aperture Science” to new life.

More big titles are on the way. As announced at CES 2023 this week, members can expect to see Atomic Heart, The Day Before and Party Animals join GeForce NOW when they release later this year. Stay tuned to future GFN Thursday updates for more details.

Upgrading Is Beyond Easy

Members can sign up today for the GeForce NOW Ultimate membership at $19.99 per month or $99.99 for six months.

Existing GeForce RTX 3080 members’ accounts have already been converted to Ultimate memberships at their current pricing, and will experience GeForce RTX 4080 performance as soon as it’s available in their regions. It’s the easiest upgrade to Ultimate performance, happening automatically.

The new GeForce RTX 4080-powered SuperPODs will be available in North America and Europe starting later this month, with continued rollout over the months to follow. Sign up today, as quantities are limited.

Additionally, new AT&T Fiber customers, and new or existing AT&T 5G customers on an eligible 5G rate plan, can get a complimentary six-month Ultimate membership. Visit AT&T Gaming for more details.

Joining in January

Here’s a look at the games joining the GeForce NOW library in January:

• Farlanders (New game on Steam, Jan. 17)
• Occupy Mars: The Game (New game on Steam, Jan. 19)
• Grimstar: Crystals are the New Oil! (New game on Steam, Jan. 26)
• Watch Dogs: Legion (New game on Steam, Jan. 26)
• Raiden IV x MIKADO remix (New game on Steam, Jan. 31)
• Absolute Drift (Steam)
• Blacktail (Steam and Epic Games Store)
• Cygnus Enterprises (Steam)
• Destroy All Humans (Steam and Epic Games Store)
• Destroy All Humans! 2 – Reprobed (Steam and Epic Games Store)
• Dwarf Fortress (Steam)
• The Eternal Cylinder (Steam)
• Hello Neighbor 2 (Steam and Epic Games Store)
• Immortals Fenyx Rising (Steam)
• MX vs ATV Legends (Steam)
• NEBULOUS: Fleet Command (Steam)
• Rain World (Steam)
• The Valiant (Steam and Epic Games Store)
• Way of the Hunter (Steam and Epic Games Store)

In addition, members can look for the following this week:

• Scott Pilgrim vs. The World: The Game Complete Edition (New release on Steam, Jan. 5)
• Carrier Command 2 (Steam)
• Project Hospital (Steam)
• Portal with RTX (Steam)
• Severed Steel (Epic Games Store)

Let us know what you think of GeForce NOW Ultimate on Twitter or in the comments below.

Which Ultimate announcement are you most excited about?

— NVIDIA GeForce NOW (@NVIDIAGFN) January 4, 2023