Posts in category: nVidia AI

In deep learning and machine learning, having a large enough dataset is key to training a system and getting it to produce results.

So what does a ML researcher do when there just isn’t enough publicly accessible data?

Enter the MLCommons Association, a global engineering consortium with the aim of making ML better for everyone.

MLCommons recently announced the general availability of the People’s Speech Dataset, a 30,000 hour English-language conversational speech dataset, and the Multilingual Spoken Words Corpus, an audio speech dataset with over 340,000 keywords in 50 languages, to help advance ML research.

On this episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with David Kanter, founder and executive director of MLCommons, and NVIDIA senior AI developer technology engineer David Galvez, about the democratization of access to speech technology and how ML Commons is helping advance the research and development of machine learning for everyone.

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Take Note: Otter.ai CEO Sam Liang on Bringing Live Captions to a Meeting Near You

Remote work has made us more reliant on virtual conferencing platforms, including Zoom, Skype and Microsoft Teams. Sam Liang, CEO of Otter.ai, explains how his company enhances the virtual meeting experience for all users.

Lilt CEO Spence Green Talks Removing Language Barriers in Business

When large organizations require translation services, there’s no room for the amusing errors often produced by automated apps. Lilt CEO Spence Green aims to correct that using a human-in-the-loop process to achieve fast, accurate and affordable translation.

How Audio Analytic Is Teaching Machines to Listen

From active noise cancellation to digital assistants that are always listening for your commands, audio is perhaps one of the most important but often overlooked aspects of modern technology in our daily lives. Dr. Chris Mitchell, CEO and founder of Audio Analytic, discusses the challenges, and the fun, involved in teaching machines to listen.

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A team of scientists have created a new AI-based tool to help lock up greenhouse gases like CO₂ in porous rock formations faster and more precisely than ever before.

Carbon capture technology, also referred to as carbon sequestration, is a climate change mitigation method that redirects CO₂ emitted from power plants back underground. While doing so, scientists must avoid excessive pressure buildup caused by injecting CO₂ into the rock, which can fracture geological formations and leak carbon into aquifers above the site, or even into the atmosphere.

A new neural operator architecture named U-FNO simulates pressure levels during carbon storage in a fraction of a second while doubling accuracy on certain tasks, helping scientists find optimal injection rates and sites. It was unveiled this week in a study published in Advances in Water Resources, with co-authors from Stanford University, California Institute of Technology, Purdue University and NVIDIA.

Carbon capture and storage is one of few methods that industries such as refining, cement and steel could use to decarbonize and achieve emission reduction goals. Over a hundred carbon capture and storage facilities are under construction worldwide.

U-FNO will be used to accelerate carbon storage predictions for ExxonMobil, which funded the study.

“Reservoir simulators are intensive computer models that engineers and scientists use to study multiphase flows and other complex physical phenomena in the subsurface geology of the earth,” said James V. White, subsurface carbon storage manager at ExxonMobil. “Machine learning techniques such as those used in this work provide a robust pathway to quantifying uncertainties in large-scale subsurface flow models such as carbon capture and sequestration and ultimately facilitate better decision-making.”

How Carbon Storage Scientists Use Machine Learning

Scientists use carbon storage simulations to select the right injection sites and rates, control pressure buildup, maximize storage efficiency and ensure the injection activity doesn’t fracture the rock formation. For a successful storage project, it’s also important to understand the carbon dioxide plume — the spread of CO₂ through the ground.

Traditional simulators for carbon sequestration are time-consuming and computationally expensive. Machine learning models provide similar accuracy levels while dramatically shrinking the time and costs required.

Based on the U-Net neural network and Fourier neural operator architecture, known as FNO, U-FNO provides more accurate predictions of gas saturation and pressure buildup. Compared to using a state-of-the-art convolutional neural network for the task, U-FNO is twice as accurate while requiring just a third of the training data.

“Our machine learning method for scientific modeling is fundamentally different from standard neural networks, where we typically work with images of a fixed resolution,” said paper co-author Anima Anandkumar, director of machine learning research at NVIDIA and Bren professor in the Computing + Mathematical Sciences Department at Caltech. “In scientific modeling, we have varying resolutions depending on how and where we sample. Our model can generalize well across different resolutions without the need for re-training, achieving enormous speedups.”

Trained U-FNO models are available in a web application to provide real-time predictions for carbon storage projects.

“Recent innovations in AI, with techniques such as FNOs, can accelerate computations by orders of magnitude, taking an important step in helping scale carbon capture and storage technologies,” said Ranveer Chandra, managing director of research for industry at Microsoft and collaborator on the Northern Lights initiative, a full-scale carbon capture and storage project in Norway. “Our model-parallel FNO can scale to realistic 3D problem sizes using the distributed memory of many NVIDIA Tensor Core GPUs.”

Novel Neural Operators Accelerate CO2 Storage Predictions 

U-FNO enables scientists to simulate how pressure levels will build up and where CO₂ will spread throughout the 30 years of injection. GPU acceleration with U-FNO makes it possible to run these 30-year simulations in a hundredth of a second on a single NVIDIA A100 Tensor Core GPU, instead of 10 minutes using traditional methods.

With GPU-accelerated machine learning, researchers can now also rapidly simulate many injection locations. Without this tool, choosing sites is like a shot in the dark.

The U-FNO model focuses on modeling plume migration and pressure during the injection process — when there’s the highest risk of overshooting the amount of CO₂ injected. It was developed using NVIDIA A100 GPUs in the Sherlock computing cluster at Stanford.

“For net zero to be achievable, we will need low-emission energy sources as well as  negative-emissions technologies, such as carbon capture and storage,” said Farah Hariri, a collaborator on U-FNO and technical lead on climate change mitigation projects for NVIDIA’s Earth-2, which will be the world’s first AI digital twin supercomputer. “By applying Fourier neural operators to carbon storage, we showed how AI can help accelerate the process of climate change mitigation. Earth-2 will leverage those techniques.”

Read more about U-FNO on the NVIDIA Technical Blog.

Earth-2 will use FNO-like models to tackle challenges in climate science and contribute to global climate change mitigation efforts. Learn more about Earth-2 and AI models used for climate science in NVIDIA founder and CEO Jensen Huang’s GTC keynote address:

GeForce NOW is about bringing new experiences to gamers.

This GFN Thursday introduces game demos to GeForce NOW. Members can now try out some of the hit games streaming on the service before purchasing the full PC version — including some finalists from the 2021 Epic MegaJam.

Plus, look for six games ready to stream from the GeForce NOW library starting today.

In addition, the 2.0.39 app update is rolling out for PC and Mac with a few fixes to improve the experience.

Dive In to Cloud Gaming With Demos

GeForce NOW supports new ways to play and is now offering free game demos to help gamers discover titles to play on the cloud — easy to find in the “Instant Play Free Demos” row.

Gamers can stream these demos before purchasing the full PC versions from popular stores like Steam, Epic Games Store, Ubisoft Connect, GoG and more. The demos are hosted on GeForce NOW, allowing members to check them out instantly — just click to play!

The first wave of demos, with more to come, includes: Chorus, Ghostrunner, Inscryption, Diplomacy Is Not an Option and The RiftBreaker Prologue.

Members can even get a taste of the full GeForce NOW experience with fantastic Priority and RTX 3080 membership features like RTX in Ghostrunner and DLSS in Chorus.

On top of these great titles, demos of some finalists from the 2021 Epic MegaJam will be brought straight from Unreal Engine to the cloud.

Zoom and nyoom to help BotiBoi gather as many files as possible and upload them to the server before the inevitable system crash in Boti Boi by the Purple Team. Assist a user by keeping files organized for fast access as seeking beeBots in Microwasp Seekers by Partly Atomic.

Keep an eye out for updates on demos coming to the cloud on GFN Thursdays and in the GeForce NOW app.

Get Your Game On 

Ready to jump into a weekend full of gaming?

GFN Thursday always comes with a new batch of games joining the GeForce NOW library. Check out these six titles ready to stream this week:

• Die After Sunset (Steam)
• ELDERBORN (Steam)
• Northgard (Epic Games Store)
• Offworld Trading Company (Steam)
• Spirit Of The Island (Steam)
• TUNIC (Epic Games Store)

Finally, last week GFN Thursday announced that Star Control: Origins would be coming to the cloud later in April. The game is already available to stream on GeForce NOW.

With all these great games available to try out, we’ve got a question for you this week. Let us know on Twitter or in the comments below.

Best game demo of all time. Go.

— NVIDIA GeForce NOW (@NVIDIAGFN) April 5, 2022

Meet the electric vehicle that’s quick-witted and fully outfitted.

Last week, NIO began deliveries of its highly anticipated ET7 fully electric vehicle, in Hefei, China. The full-size luxury sedan is the first production vehicle built on the NIO Adam supercomputer, powered by four NVIDIA DRIVE Orin systems-on-a-chip (SoCs).

The production launch of its flagship sedan follows a blockbuster year for NIO. In 2021, the EV maker delivered 91,429 vehicles, more than quadrupling sales from 2019.

The software-defined ET7 bounds past current model capabilities, boasting more than 620 miles of battery range and an impressive 0-to-60 mph in under 4 seconds.

With the DRIVE Orin-powered Adam, the ET7’s centralized, high-performance compute architecture powers advanced AI features and allows continuous over-the-air upgrades. As a result, the intelligent vehicle redefines the customer experience, with an AI-enhanced cockpit and point-to-point autonomous driving capabilities.

Sensors on the bottom of the sleek ET7 detect the road surface in real time so the vehicle can automatically adjust the suspension, creating a smoother, more luxurious ride.

The opulent interior and immersive augmented reality digital cockpit inside the sedan interact with the driver through voice recognition and driver monitoring. The sedan comes standard with over 100 configurations for comfort, safety and smart technologies.

Peak Performance

The ET7 outperforms in both drive quality and AI compute.

The NIO Adam supercomputer is one of the most powerful platforms to run in a vehicle, achieving more than 1,000 trillion operations per second (TOPS) of performance.

At its core is DRIVE Orin, the world’s most advanced autonomous vehicle processor. It delivers up to 254 TOPS to simultaneously run a high number of deep neural networks and applications while achieving systematic safety standards such as ISO 26262 ASIL-D.

By integrating multiple DRIVE Orin SoCs, Adam meets the diversity and redundancies necessary for safe autonomous operation.

On the Horizon

Following the start of ET7 deliveries, NIO is slated to launch a mid-sized performance sedan, the ET5 — also built on the Adam supercomputer — in September.

NIO plans to enter global markets with the ET7 in Germany, Denmark, Sweden and Netherlands later this year. With a goal of bringing one of the most advanced AI platforms to more customers, NIO intends to have vehicle offerings in 25 countries and regions by 2025.

With the ET7 now entering the market, customers can enjoy a software-defined experience that’s as fast as it is luxurious.

In its debut in the industry MLPerf benchmarks, NVIDIA Orin, a low-power system-on-chip based on the NVIDIA Ampere architecture, set new records in AI inference, raising the bar in per-accelerator performance at the edge.

Overall, NVIDIA with its partners continued to show the highest performance and broadest ecosystem for running all machine-learning workloads and scenarios in this fifth round of the industry metric for production AI.

In edge AI, a pre-production version of our NVIDIA Orin led in five of six performance tests. It ran up to 5x faster than our previous generation Jetson AGX Xavier, while delivering an average of 2x better energy efficiency.

NVIDIA Orin is available today in the NVIDIA Jetson AGX Orin developer kit for robotics and autonomous systems. More than 6,000 customers including Amazon Web Services, John Deere, Komatsu, Medtronic and Microsoft Azure use the NVIDIA Jetson platform for AI inference or other tasks.

It’s also a key component of our NVIDIA Hyperion platform for autonomous vehicles. China’s largest EV maker. BYD, is the latest automaker to announce it will use the Orin-based DRIVE Hyperion architecture for their next-generation automated EV fleets.

Orin is also a key ingredient in NVIDIA Clara Holoscan for medical devices, a platform system makers and researchers are using to develop next generation AI instruments.

Small Module, Big Stack

Servers and devices with NVIDIA GPUs including Jetson AGX Orin were the only edge accelerators to run all six MLPerf benchmarks.

With its JetPack SDK, Orin runs the full NVIDIA AI platform, a software stack already proven in the data center and the cloud. And it’s backed by a million developers using the NVIDIA Jetson platform.

NVIDIA and partners continue to show leading performance across all tests and scenarios in the latest MLPerf inference round.

The MLPerf benchmarks enjoy broad backing from organizations including Amazon, Arm, Baidu, Dell Technologies, Facebook, Google, Harvard, Intel, Lenovo, Microsoft, Stanford and the University of Toronto.

Most Partners, Submissions

The NVIDIA AI platform again attracted the largest number of MLPerf submissions from the broadest ecosystem of partners.

Azure followed up its solid December debut on MLPerf training tests with strong results in this round on AI inference, both using NVIDIA A100 Tensor Core GPUs. Azure’s ND96amsr_A100_v4 instance matched our highest performing eight-GPU submissions in nearly every inference test, demonstrating the power that’s readily available from the public cloud.

System makers ASUS and H3C made their MLPerf debut in this round with submissions using the NVIDIA AI platform. They joined returning system makers Dell Technologies, Fujitsu, GIGABYTE, Inspur, Lenovo, Nettrix, and Supermicro that submitted results on more than two dozen NVIDIA-Certified Systems.

Why MLPerf Matters

Our partners participate in MLPerf because they know it’s a valuable tool for customers evaluating AI platforms and vendors.

MLPerf’s diverse tests cover today’s most popular AI workloads and scenarios. That gives users confidence the benchmarks will reflect performance they can expect across the spectrum of their jobs.

Software Makes It Shine

All the software we used for our tests is available from the MLPerf repository.

Two key components that enabled our inference results — NVIDIA TensorRT for optimizing AI models and NVIDIA Triton Inference Server for deploying them efficiently — are available free on NGC, our catalog of GPU-optimized software.

Organizations around the world are embracing Triton, including cloud service providers such as Amazon and Microsoft.

We continuously fold all our optimizations into containers available on NGC. That way every user can get started putting AI into production with leading performance.

Square/Enix presents the fictional city of Midgar in Final Fantasy VII Remake at a filmic level of detail. Epic’s Fortnite bathes its environments in ray-traced sunlight, simulating how light bounces in the real world. And artists at Lucasfilm revolutionized virtual production techniques in The Mandalorian, using synchronized NVIDIA RTX GPUs to drive pixels on LED walls that act as photoreal backdrops.

In the eight years since Epic Games launched Unreal Engine 4, graphics has evolved at an unprecedented rate. UE4’s advances in world-building, animation, lighting and simulation enabled creators to bring to life environments only hinted at in the past.

In that same time, NVIDIA produced the optimal GPUs, libraries and APIs for supporting the new features the engine introduced. Tens of thousands of developers have enjoyed the benefits of pairing Unreal Engine with NVIDIA technology. That support continues with today’s debut of Unreal Engine 5.

Epic and NVIDIA: Building the Future of Graphics

From the launch of the GeForce GTX 680 in 2012 to the recent release of the RTX 30 Series, NVIDIA has supported UE4 developers in their quest to stay on the bleeding edge of technology.

At Game Developers Conference 2013, Epic showed off what Unreal Engine 4 could do on a single GTX 680 with their “Infiltrator” demo. It would be one of many times Unreal Engine and NVIDIA raised the bar.

In 2015, NVIDIA founder and CEO Jensen Huang appeared as a surprise guest at an Epic Games event to announce the GTX TITAN X. Onstage, Tim Sweeney was given the very first GTX TITAN X off the production line. It’s a moment in tech history that’s still discussed today.

At GDC 2018, the development community got their first look at real-time ray tracing running in UE4 with the reveal of “Reflections,” a Star Wars short video. The results were so convincing you’d have been forgiven for thinking the clip was pulled directly out of a J.J. Abrams movie.

Textured area lights, ray-traced area light shadows, reflections, and cinematic depth of field all combined to create a sequence that redefined what was possible with real-time graphics. It was shown on a NVIDIA DGX workstation powered by four Volta architecture GPUs.

Later in the year at GamesCom, that same demo was shown running on one consumer-grade GeForce RTX graphics card, thanks to the Turing architecture’s RT Cores, which greatly accelerate ray-tracing performance.

In 2019, Unreal Engine debuted a short called “Troll” (from Goodbye Kansas and Deep Forest Films), running on a GeForce RTX 2080 Ti. It showed what could be done with complex soft shadows and reflections. The short broke ground by rendering convincing human faces in real time, capturing a broad range of emotional states.

Epic and NVIDIA sponsored three installments in the DXR Spotlight Contest, which showed that even one-person teams could achieve remarkable results with DXR, Unreal Engine 4 and NVIDIA GeForce RTX.

One standout was “Attack from Outer Space,” a video demo developed solely by artist Christian Hecht.

Today, Epic debuts Unreal Engine 5. This launch introduces Nanite and Lumen, which enables developers to create games and apps that contain massive amounts of geometric detail with fully dynamic global illumination.

Nanite enables film-quality source art consisting of billions of polygons to be directly imported into Unreal Engine — all while maintaining a real-time frame rate and without sacrificing fidelity.

With Lumen, developers can create more dynamic scenes where indirect lighting adapts on the fly, such as changing the sun angle with the time of day, turning on a flashlight or opening an exterior door. Lumen removes the need for authoring lightmap UVs, waiting for lightmaps to bake or placing reflection captures, which results in crucial time savings in the development process.

NVIDIA is supporting Unreal Engine 5 with plugins for key technologies, including Deep Learning Super Sampling (DLSS), NVIDIA Reflex and RTX Global Illumination.

DLSS taps into the power of a deep learning neural network to boost frame rates and generate beautiful, sharp images. Reflex aligns CPU work to complete just in time for the GPU to start processing, minimizing latency and improving system responsiveness. RTX Global illumination computes multibounce indirect lighting without bake times, light leaks or expensive per-frame costs.

You can see DLSS and Reflex in action on Unreal Engine 5 by playing Epic’s Fortnite on an NVIDIA GeForce RTX-powered PC.

NVIDIA Ominiverse is the ideal companion to the next generation of Unreal Engine. The platform enables artists and developers to connect their 3D design tools for more collaborative workflows, build their own tools for 3D worlds, and use NVIDIA AI technologies. The Unreal Engine Connector enables creators and developers to achieve live-sync workflows between Omniverse and Unreal Engine. This connector will supercharge any game developer’s art pipeline.

Learn more about NVIDIA technologies for Unreal Engine 5.

A dozen companies today received NVIDIA’s highest award for partners, recognizing their impact on AI education and adoption across such industries as education, federal, healthcare and technology.

The winners of the 2021 NPN Americas Partner of the Year Awards have created a profound impact on AI by helping customers meet the demands of recommender systems, conversational AI applications, computer vision services and more.

“From systems to software, NVIDIA’s leadership in creating opportunities for its partner ecosystem is unmatched,” said Rob Enderle, president and principal analyst at the Enderle Group. “The winners of the 2021 NPN Awards reflect a diverse group of trusted technology providers who have cultivated deep expertise in NVIDIA-accelerated AI to serve their markets and industries.”

The past few years have brought new ways of working to every business. Companies have adopted new processes that apply AI to customer service, supply chain optimization, manufacturing, safety and more. NVIDIA’s accelerated computing platforms open new markets to create growth opportunities for our partner ecosystem.

The 2021 NPN award winners for the Americas are:

• Cambridge Computer – awarded 2021 Americas Higher Education Partner of the Year for its continued focus on the higher-ed market, resulting in broad growth across platforms and NVIDIA DGX AI infrastructure solutions.
• CDW Canada – awarded 2021 Canadian Partner of the Year for fostering extensive growth of AI in the Canadian market through strategic collaboration with NVIDIA and customers.
• Colfax – awarded 2021 Americas Networking Partner of the Year for driving end-to-end NVIDIA AI solutions through a skilled team with robust resources, enabling the company to become a leader in the NVIDIA networking space across industries, including manufacturing, higher education, healthcare and life sciences.
• Deloitte Consulting – awarded 2021 Americas Global Consulting Partner of the Year for building specialized practices around Omniverse Enterprise, NVIDIA Metropolis and new NVIDIA DGX-Ready Managed Services, plus adding the NVIDIA DGX POD to its Innovation Center.
• Future Tech – awarded 2021 Americas Public Sector Partner of the Year for leading the federal government through the world’s largest AI transformation. Future Tech is the first company to bring Omniverse Enterprise real-time 3D design collaboration and simulation to federal customers, helping to improve their workflows in the physical world.
• Insight Enterprises – awarded 2021 Americas Software Partner of the Year for the second year in a row, for broad collaboration with NVIDIA across AI, virtualization and simulation software, with leadership in making continued investment in NVIDIA technology with proof-of-concept labs, NVIDIA certifications, sales and technical training.
• Lambda  – awarded 2021 Americas Solution Integration Partner of the Year for the second consecutive year for its extensive expertise and commitment to providing the full NVIDIA portfolio with AI and deep learning hardware and software solutions across industries, including higher education and research, the federal and public sector, health and life sciences.
• Mark III – awarded 2021 Americas Rising Star Partner of the Year – a new category added to recognize growing excellence in innovation, go-to-market strategies and growth in the AI business landscape. Mark III won for creatively setting the pace for NVIDIA partners as they guide clients toward architecting AI Centers of Excellence.
• PNY – awarded 2021 Americas Distribution Partner of the Year for being a value-added partner and trusted advisor to the channel that has delivered NVIDIA’s accelerated computing platforms and software across the media and entertainment and healthcare industries, and many other vertical markets, as well as with cloud service providers.
• Quantiphi – awarded 2021 Americas Service Delivery Partner of the Year for its diverse engineering services, application-first approach and commitment to solving customer problems using NVIDIA DGX and software development kits, positioning itself to capitalize on the rapidly growing field of data science enablement services.
• World Wide Technology – awarded 2021 Americas AI Solution Provider of the Year for its leadership and commitment in driving adoption of the complete NVIDIA portfolio of AI and accelerated computing solutions, as well as continued investments in AI infrastructure for customer testing and labs in the WWT Advanced Technology Center.
• World Wide Technology – also named 2021 Americas Healthcare Partner of the Year for expertise in driving NVIDIA AI solutions and accelerated computing to healthcare and life sciences organizations, demonstrating strong capabilities in end-to-end scalable AI solutions and professional development to support biopharma, genomics, medical imaging and more.

Congratulations to all of the 2021 NPN award winners in the Americas, and our thanks to all NVIDIA partners supporting customers worldwide as they work to integrate the transformative potential of AI into their businesses.

Editor’s note: This post is a part of our Meet the Omnivore series, which features individual creators and developers who use NVIDIA Omniverse to accelerate their 3D workflows and create virtual worlds.

Pekka Varis’s artistry has come a long way from his early days as a self-styled “punk activist” who spray painted during the “old school days of hip hop in Finland.”

More than 30 years later, he’s embracing the future of graphics as a videographer who uses NVIDIA Omniverse, a physically accurate 3D design collaboration and simulation platform, to create vibrant virtual worlds.

His freelance video production company Catchline translates complex technology services into attention-snagging, easily digestible video messages or commercials.

A recent project was an animated ad for Artio, an app that brings a global digital art gallery to individual smart devices.

In the commercial, a digital family searches for the perfect piece of art to enliven their new home, visualizing options on the walls in real time. Plus, the parents unpack boxes filled with detailed items, a child plays with block toys, the dog shakes its head and wags its tail — all in a physically accurate way, thanks to Omniverse.

“NVIDIA Omniverse has given me more artistic power and a totally new level of freedom,” Varis said. “It’s a trusty playground where I can bring in quality content and focus on creating designs, visuals, variations — all that fun stuff.”

Vivifying the Videography

The Helsinki-based videographer takes viewers through his creative process in a three-part tutorial that details his recent commercial project, in which Artio helps the digital family make their blank walls pop.

Watch the first installment of the tutorial series on demand and below:

In subsequent episodes, Varis covers his animation process with Reallusion Character Creator, as well as his steps for lighting and color correction in Omniverse.

His multi-app workflow — bringing characters to life with Reallusion software and perfecting the lighting with Lightmap HDR Light Studio — is made possible by Omniverse Connectors, plugins that connect third-party design apps with Omniverse, and NVIDIA Studio drivers.

He estimates a 90 percent savings in time and cost using Omniverse. “With Omniverse Connectors to Reallusion software like Character Creator and iClone, I can make commercial-quality characters quickly and easily, which I wouldn’t have even dreamed about before,” he said.

His favorite Omniverse apps, he added, are Omniverse Create — a toolkit built on Pixar’s Universal Scene Description format that accelerates advanced scene composition — and Omniverse Machinima, with which he animates and manipulates characters inside of virtual worlds.

“I see myself using Omniverse with every single work commission I get moving forward,” Varis said. “And I hope my video tutorials inspire viewers to try using these superb tools to create their own artwork.”

When not creating videos, Varis makes music as a drummer who loves metal, rock and hip hop — and spends time with his six-year-old daughter, his source of inspiration.

Join in on the Creation

Inspired by Varis? Remix and animate characters from Squad, Mount & Blade II: Bannerlord and MechWarrior 5 using the Omniverse Machinima app for the #MadeInMachinima contest, running through June 27, for a chance to win the latest NVIDIA Studio laptop.

Learn more about Omniverse by watching GTC sessions on demand — featuring visionaries from the Omniverse team, Adobe, Autodesk, Epic Games, Pixar, Unity and Walt Disney Studios.

Creators and developers can download NVIDIA Omniverse for free and get started with step-by-step tutorials on the Omniverse YouTube channel. Follow Omniverse on Instagram, Twitter and Medium for additional resources and inspiration. Check out the Omniverse forums and join our Discord Server to chat with the community.

In addition to GFN Thursday, it’s National Tater Day. Hooray!

To honor the spud-tacular holiday, we’re closing out March with seven new games streaming this week. And a loaded 20+ titles are coming to the GeForce NOW library in April to play — even on a potato PC, thanks to GeForce NOW.

Plus, the GeForce NOW app is available on Chromebook. Get the app today to instantly transform Chromebooks into gaming rigs capable of playing 1,000+ PC titles with and against millions of other players — without waiting for downloads, installs, patches or updates.

GeForce NOW is Your Ride or Fry

At its roots, GeForce NOW is about playing great games. The final seven titles of March are ready to stream today. Plus, keep your eyes peeled for what’s coming to the cloud in April with 20 games revealed today and some nice surprises to be announced throughout the month.

The following are ready to stream today:

• Midnight Ghost Hunt (New release on Steam)
• Weird West (New release on Steam)
• Dying Light Enhanced Edition (Epic Games Store)
• ELEX II (Epic Games Store)
• FAR: Changing Tides (Epic Games Store)
• Hero’s Hour (Epic Games Store)
• Martha Is Dead (Epic Games Store)

Coming in April:

• Anno 1404 – History Edition (Steam)
• Blast Brigade vs. the Evil Legion of Dr. Cread (Steam)
• Cities in Motion 2 (Steam)
• Crawl (Steam)
• Cultist Simulator (Steam)
• Die After Sunset (Steam)
• ELDERBORN (Steam)
• EQI (Steam)
• Fell Seal: Arbiter’s Mark (Steam)
• Flashing Lights – Police, Firefighting, Emergency Services Simulator (Steam)
• Galactic Civilizations II: Ultimate Edition (Steam)
• Jupiter Hell (Steam)
• Offworld Trading Company (Steam)
• Ranch Simulator (Steam)
• Sherlock Holmes: The Devil’s Daughter (Steam)
• SOL CRESTA (Steam)
• Star Control: Origins (Steam)
• Spirit of the Island (Steam)
• Twin Mirror (Steam)
• Wobbledogs (Steam)

Mashed in From March

On top of the 27 titles announced in March, an extra eight ended up coming to the cloud. Check out all the additional games that were added last month:

• Conan Chop Chop (Steam)
• Hero’s Hour (Steam)
• Highrise City (Steam)
• Hundred Days – Winemaking Simulator (Epic Games Store)
• Power to the People (Epic Games Store)
• STORY OF SEASONS: Pioneers of Olive Town (Steam)
• Survival Quiz CITY (Steam)
• Tunic (Steam)

A couple of games that were announced in March didn’t quite make it:

• Turbo Sloths (Steam)
• The Legend of Heroes: Trails of Cold Steel II (Steam)

Finally, GeForce NOW is growing. GeForce NOW Powered by ABYA Free and Priority plans are available again, but only for a limited time and while supplies last in Brazil, Argentina, Uruguay, Paraguay and Chile. Access local servers for lightning fast gameplay with the same legendary GeForce NOW experience.

We have an extra fresh challenge for you this week. Let us know your answer on Twitter or in the comments below.

write a love letter to your potato PC/device in one sentence

we’ll start: “to my ride or fry, we’ll never say goodbye “

— NVIDIA GeForce NOW (@NVIDIAGFN) March 30, 2022

Four words: smart, sustainable, Super Bowl. Polestar’s commercial during the big game made it clear no-compromise electric vehicles are now mainstream.

Polestar Chief Operating Officer Dennis Nobelius sees driving enjoyment and autonomous-driving capabilities complementing one another in sustainable vehicles that keep driving — and the driver — front and center.

NVIDIA’s Katie Washabaugh spoke with Nobelius for the latest episode of the AI Podcast about the role the performance brand will play as vehicles become greener and more autonomous.

Nobelius touched on the sustainable automaker’s plans to unveil its third vehicle, the Polestar 3, the tech inside it, and what the company’s racing heritage brings to the intersection of smarts and sustainability.

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Subscribe to the AI Podcast: Now available on Amazon Music

You can now listen to the AI Podcast through Amazon Music.

You can also get the AI Podcast through iTunes, Google Podcasts, Google Play, Castbox, DoggCatcher, Overcast, PlayerFM, Pocket Casts, Podbay, PodBean, PodCruncher, PodKicker, Soundcloud, Spotify, Stitcher and TuneIn.

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