Kategorie: KI Trends

Engineers are using the NVIDIA Omniverse 3D simulation platform as part of a proof of concept that promises to become a model for putting green energy to work around the world.

Dubbed Gigastack, the pilot project — led by a consortium that includes Phillips 66 and Denmark-based renewable energy company Ørsted — will create low-emission fuel for the energy company’s Humber refinery in England.

Hydrogen is expected to play a critical role as the world moves to reduce its dependence on fossil fuels over the coming years. The market for hydrogen fuel is predicted to grow over 45x to $90 billion by 2030, up from $1.8 billion today.

The Gigastack project aims to showcase how green energy can be woven into complex, industrial energy infrastructure on a massive scale and accelerate net-zero emissions progress.

To make that happen, new kinds of collaboration are vital, explained Ahsan Yousufzai, global head of business development for energy surface at NVIDIA, during a conversation about the project in an on-demand panel discussion at NVIDIA GTC.

“To meet global sustainability targets, the entire energy ecosystem needs to work together,” Yousufzai said. “For that, technologies like AI and digital twins will play a major role.”

The system — now in the planning stages — will draw power from Ørsted’s massive Hornsea 1,218-megawatt offshore wind farm, the largest in the world upon its completion in January last year.

Hornsea will be connected to ITM Power’s Gigastack electrolyzer facility, which will use electrolysis to turn water into clean, renewable hydrogen fuel.

That fuel, in turn, will be put to work at Phillips 66’s Humber refinery, decarbonizing one of the U.K.’s largest industrial facilities.

The project is unique because of its scale — with plans to eventually ramp up Gigastack into a massive 1-gigawatt electrolyzer system — and because of its potential to become a blueprint for deploying electrolyzer technology for wider decarbonization.

Weaving all these elements together, however, requires tight collaboration between team members from Element Energy, ITM Power, Ørsted, Phillips 66 and Worley.

Worley — one of the largest global providers of engineering and professional services to the oil, gas, mining, power and infrastructure industries — turned to Aspen Technology’s Aspen OptiPlant, sophisticated software that’s a workhouse for planning and optimizing some of the world’s most complex infrastructure.

“When you have a finite amount of money to be spent, you want to maximize the number of options on how facilities can be designed, fabricated and constructed,” explained Vishal Mehta, senior vice president at Worley.

“This is the importance of rapid optioneering, where you’re able to run AI models and engines with not only mathematics but also visual representation,” Mehta said. “People can come up with ideas and, in real time, move them around with mathematical equations changing in the background.”

Worley relied on AspenTech’s OptiPlant to develop a 3D conceptual layout of the Gigastack green hydrogen project. The industrial optimization software combines decades of process modeling expertise with cutting-edge AI and machine learning.

The next step: connecting OptiPlant’s sophisticated physics-based plant piping and layout capabilities to build a 3D conceptual layout of the plant with Omniverse, potentially allowing teams to work together on plant design in real-time — connecting their various 3D software tools, datasets and teams together.

“With a traditional model review, it’s one person leading the way, but here we have this opportunity for everybody to be immersed in the facility,” said Sonali Singh, vice president of product management for performance engineering at AspenTech. “They can really all collaborate by looking at their individual priorities.”

Omniverse can be the platform on which they further build their digital twin of the growing facility, enabling connection of simulation data and AIs, capturing knowledge from human and AI collaborators working on the project and bringing intelligent optimization.

To learn more, watch the on-demand GTC session and explore the Gigastack project.

Find out how Siemens Gamesa and Zenotech are accelerating offshore wind farm simulations with NVIDIA’s full-stack technologies.

A one-of-a-kind electric race car revved to life before it was manufactured — or even prototyped — thanks to GPU-powered extended reality technology.

At the Automotive Innovation Forum in May, NVIDIA worked with Autodesk VRED to showcase a photorealistic Porsche electric sports car in augmented reality, with multiple attendees collaborating in the same immersive environment.

The demo delivered a life-size digital twin of the Porsche Mission R in AR and VR, which are collectively known as extended reality, or XR. Using NVIDIA CloudXR, Varjo XR-3 headsets and Lenovo Android tablets, audiences saw the virtual Porsche with photorealistic lighting and shadows.

All images courtesy of Autodesk.

Audiences could view the virtual race car side by side with a physical car on site. With this direct comparison, they witnessed the photorealistic nature of the AR model — from the color of the metals, to the surface of the tires, to the environmental lighting.

The stunning demo, which was shown through an Autodesk VRED collaborative session, ran on NVIDIA RTX-based virtual workstations.

There were two ways to view the demo. First, NVIDIA CloudXR streamed the experience to the tablets from a virtualized NVIDIA Project Aurora server, which was powered by NVIDIA A40 GPUs on a Lenovo ThinkStation SR670 Server. Attendees could also use Varjo headsets, which were locally tethered to NVIDIA RTX A6000 GPUs running on a Lenovo ThinkStation P620 workstation.

Powerful XR Technologies Behind the Streams

Up to five users at a time entered the scene, with two users wearing headsets to see the Porsche car in mixed reality, and three users on tablets to view the car in AR. Users were represented as avatars in the session.

With NVIDIA CloudXR, the forum attendees remotely streamed the photorealistic Porsche model. Built on NVIDIA RTX technology, CloudXR extends NVIDIA RTX Virtual Workstation software, which enables users to stream fully accelerated immersive graphics from a virtualized environment.

This demo used a virtualized Lenovo ThinkStation SR670 server to power NVIDIA’s Project Aurora — a software and hardware platform for XR streaming at the edge. Project Aurora delivers the horsepower of NVIDIA RTX A40 GPUs, so users could experience the rich, real-time graphics of the Porsche model from a machine room over a private 5G network.

Through server-based streaming with Project Aurora, multiple users from different locations were brought together to experience the demo in a single immersive environment. With the help of U.K.-based integrator The Grid Factory, Project Aurora is now available to be deployed in any enterprise.

Learn more about advanced XR streaming with NVIDIA CloudXR.

NVIDIA’s latest corporate responsibility report shares our efforts in empowering employees and putting to work our technologies for the benefit of humanity.

Amid ongoing global economic concerns and pandemic challenges, this year’s report highlights our ability to attract and retain talent that come here to do their life’s work while tackling some of the world’s greatest technology and societal challenges.

Taking Care of Our People 

NVIDIA scored the highest grade for workplaces, ranking No. 1 on Glassdoor’s Best Places to work list for large U.S. companies. Some 95% of employees indicated they’d recommend NVIDIA to a friend.

We make the health of our employees and their families a top priority. Our family leave policy allows U.S. employees 12 weeks of fully paid leave to care for family members. And we’ve selected eight days each year in which we shut down all but essential operations globally, so employees can unwind without having to return to a full inbox.

We’ve recently added surrogacy benefits and fertility education resources to our award-winning list of family-forming benefits, which include adoption support and a generous parental leave program of up to 22 weeks of fully paid leave.

And we worked with our LGBTQ+ colleagues to expand gender affirmation resources and support.

Supporting Communities

Last year we established the Ignite program to prepare students from underrepresented communities for NVIDIA summer internships. Sixty-five percent of these students are returning for our internship program, and we saw a 100% increase in applications for this summer’s Ignite program.

We supported professional organizations, including Black Women in AI, Women in Data and Women-ai, to increase access to AI education and technology.

We launched NVIDIA Emerging Chapters, a new program that enables developers in emerging regions to build and scale their AI, data science and graphics expertise through technology access, educational resources and co-marketing opportunities.

We announced a three-year partnership with the Boys & Girls Clubs of Western Pennsylvania to expand access to AI and robotics to students in communities traditionally underrepresented in tech. Core to this is an open-source curriculum that will make it easy for Boys & Girls Clubs nationwide to deliver AI education to their students.

Our employees remained committed to donating resources to those in need, with nearly 40% of them participating in the NVIDIA Foundation’s Inspire 365 efforts during fiscal year 2022. That brought the unique participation rate since the initiative’s start to 68%.

Despite in-person volunteering remaining paused due to COVID, NVIDIANs still logged more than 16,500 volunteer hours through individual and virtual efforts, up more than 76% from the previous fiscal year.

NVIDIANs also joined the company in contributing more than $22 million to charitable causes in the last fiscal year. And during the Ukraine crisis, employees and NVIDIA have donated more than $4.6 million to date for humanitarian relief.

Developing Climate Solutions 

NVIDIA GPUs are enabling progress in responding to the crisis of climate change. With recent advances in AI, modeling of weather forecasting can now be done 4-5 magnitudes faster than with traditional computing methods.

We plan to build Earth-2, an AI supercomputer that will create a digital twin of the Earth, enabling scientists to do ultra-high-resolution climate modeling and put tools into the hands of cities and nations to simulate the impact of mitigation and adaptation strategies.

Digital twins are also being used to predict costly maintenance at power plants and model new energy sources like fusion reactor design.

NVIDIA scientists along with leading institutions are using AI to model the most efficient way to capture greenhouse gasses in the atmosphere and lock them away underground.

Startups from the NVIDIA Inception program are jumping into the climate challenge as well. In Kenya, a company is using AI to monitor the health of bee colonies. And a German startup is monitoring the ocean floor to help scientists understand how natural carbon sinks can be better utilized.

Building Energy-Efficient Technologies 

These solutions are not only bringing innovation to the climate challenge, but are built on a foundation of energy-efficient technology.

We aim to make every new generation of our GPUs faster and more energy efficient than its predecessor. As AI models and HPC applications increase exponentially in size, moving to new-generation GPUs will help our customers complete their work with lower energy consumption and get results more quickly.

NVIDIA GPUs are typically 20x more energy efficient for AI and HPC workloads than CPUs. If we switched all the CPU-only servers running AI and HPC worldwide to GPU-accelerated systems, the world could save nearly 12 trillion watt-hours of energy a year, equivalent to the electricity requirements of nearly 1.7 million U.S. homes.

Leaning Into Trustworthy AI

We’re committed to the advancement of trustworthy AI, recognizing that technology can have a profound impact on people and the world. We’ve set priorities that are rooted in fostering positive change and enabling trust and transparency in AI development.

We’re developing practices and methodologies enabling construction of AI products that are trustworthy by design, including datasets, machine learning tools and processes, AI model development, and software development and testing.

Running a Mission-Driven Company

As NVIDIA CEO Jensen Huang mentions in the opening letter of our corporate responsibility report, creating a place where people can do impactful work means building a culture strong enough to be willing to take on the most pressing problems.

The impacts of accelerated computing, which we have driven over the last two decades, are already being felt in areas as wide ranging as self-driving cars, healthcare and, increasingly, in climate change. We’re proud to have built this organization with more than 20,000 of the brightest minds and look forward to what they choose to tackle next.

Nothing beats the summer heat like GFN Thursday. Get ready for four new titles streaming at GeForce quality across nearly any device.

Buckle up for some great gaming, whether poolside, in the car for a long road trip, or in the air-conditioned comfort of home.

Speaking of summer, it’s also last call for this year’s Steam Summer Sale. Check out the special row in the GeForce NOW app for some great gaming deals before the sale ends today at 10am PDT.

Choose Your Adventure

With more than 1,300 games in the GeForce NOW library, there’s something for everyone. Single-player adventures? Check. Multiplayer battles? Got that, too. GFN Thursday brings more games each week, and it’s nearly impossible to play them all.

Catch up on titles you’ve been eyeing and put together a gaming playlist that fits the perfect summer mood. From blockbuster free-to-play action role-playing games like Genshin Impact and Lost Ark to story-driven sagas like Life is Strange: True Colors, high-speed action in NASCAR 21: Ignition and more, there are plenty of options to keep gamers busy.

There’s something for everyone on GeForce NOW.

Find your next adventure in the native GeForce NOW app or on play.geforcenow.com. Search for a game or genre using the top bar to build out the perfect gaming library. Streaming the game from GeForce-powered servers enables gamers to keep the action going, even on a Mac, mobile device, Chromebook and more.

Even better: RTX 3080 members can play at up to 4K resolution and 60 frames per second on PC and Mac, or take the action to the living room on the recently updated SHIELD TV. They can also take on opponents with ultra-low latency for the best gaming sessions, and RTX ON for supported titles to get the most cinematic visuals.

Press Play

Stand with the squad on the front lines in “Arma Reforger.”

Not sure where to start? Check out this week’s new additions to squad up in Arma Reforger, bring home the trophy in Matchpoint – Tennis Championships and more.

Here’s what’s coming to GeForce NOW this week:

Matchpoint – Tennis Championships (New release on Steam July 7)
Starship Troopers – Terran Command (New release on Epic Games Store July 7)
Sword and Fairy Inn 2 (New release on Steam, July 8)
Arma Reforger (Steam)

It was also announced that rFactor 2 would be coming to GeForce NOW. At this time, the title will not be coming to the service.

Finally, speaking of your summer playlist, we have a question that may get you a bit nostalgic. Let us know your answer on Twitter or in the comments below.

If you could replay any game as if it were the first time, which game would it be?

— NVIDIA GeForce NOW (@NVIDIAGFN) July 6, 2022

Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many.

Machine learning engineer Santiago Valderrama has taken a far more focused approach to helping us all get smarter about the field.

He’s created a following by posing one machine learning question every day on his website bnomial.com.

Think of it as Wordle for those of who want to learn more about machine learning.

As Valderrama wrote on a LinkedIn post: “I got together with a couple of friends and built bnomial — a site with a simple goal, a non-BS simple way to learn something new as fast as possible. We published one machine learning question every day. That’s it. You load the page, answer the question and return the next day. Rinse and repeat.”

NVIDIA AI podcast host Noah Kravitz spoke with Valderrama to talk to him about binomial, how to get smart about machine learning, and his own journey in the field.

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 accelerates creative workflows. 

Putting art, mathematics and computers together in the mid-1980s created a new genre of digital media: fractal art.

In the NVIDIA Studio this week, computer graphics (CG) artist, educator and curator Xueguo Yang shares his insights behind fractal art — which uses algorithms to artistically represent calculations derived from geometric objects as digital images and animations.

The internationally renowned artist showcases his extraordinary fractal art series, Into the Void, and his process for creating it. Yang’s artistic collaborations include major publishing organizations and global entertainment companies, and his artwork has been selected for international A-class CG galleries and competition shortlists.

A Fractal Art Masterclass, Courtesy of NVIDIA Studio 

Yang started each Into the Void piece in Daz Studio or Autodesk 3ds Max, generating a very basic 3D shape and carefully extracting its dimensions. He then used one of his preferred fractal art applications, including Chaotica, Mandelbulb3D or, more recently, JWildfire.

Fractal artwork includes 3D mathematical shapes that are infinitely complex.

Traditionally, these 3D-heavy apps operated exclusively on CPU architecture, with limited speed and excruciating slowdowns. Newer technology using NVIDIA GeForce RTX GPUs and the OpenCL programming framework dramatically accelerates the creative process so now, complex fractal geometry can be generated, previewed and modified in seconds — a boon for Yang’s efficiency.

Graphical dynamics visual effects created using Tyflow in Autodesk 3ds Max, powered by NVIDIA PhysX.

Yang then started to build mathematical formulas to create the fractal art pieces. The formulas, ever-changing samples expressed in 3D, required random trial-and-error combinations until Yang reached a satisfactory result.

Next, he added some stylish 2D effects before importing the raw files into NVIDIA Omniverse, a 3D design collaboration and world simulation platform.

By using Omniverse’s NVIDIA vMaterials library, which is derived from physical, real-world materials, Yang built cosmic voids with photorealistic details such as glass and metal pieces.

Yang constantly experiments with new colors and textures to further provoke thought.

Yang further refined textures with the Adobe Substance 3D Painter Connector. He applied Smart Materials — a feature that automatically adjusts the scene to show realistic surface details — tweaking the piece until the perfect combination presented itself.

The Omniverse Create app allowed Yang to adjust lighting and shadows, all in original quality, for final compositing and rendering. His GeForce RTX 3080 Ti Laptop GPU powered the built-in RTX Renderer, unlocking hardware-accelerated ray tracing for fast and interactive 3D modeling.

Yang then turned to the NVIDIA Canvas app to quickly generate a variety of sky and space backgrounds. This process took mere minutes and was far more efficient than searching for backgrounds or even creating several from scratch.

In Photoshop, Yang applies the Canvas backgrounds and adjusted colors to his liking. Final exports were rapidly generated, and the Into the Void masterpiece was complete. By entering In the NVIDIA Studio, viewers can now enter the void.

Yang noted his entire creative workflow is accelerated by GPUs, with his ASUS ProArt Studio laptop serving as a necessity rather than a luxury.

“You can’t imagine how to deal without real-time ray tracing and AI acceleration of RTX GPUs,” Yang said.

Fractal Origins

For Yang, fractal artwork manifests the purest form of his introspective views on origins. “The world was originally empty,” he said. “Everything from basic particles to real matter came from the void. No one knows when, where and how things in the known world appear.”

“Into the Void” series by Xueguo Yang.

Yang hopes to give audiences a sense of déjà vu as his art deconstructs and reconstructs places, scenes, memories or any form of beauty that can often be taken for granted.

The idea of “exploring” rather than “creating” comes from Yang’s strong interests in nature, physics, philosophy and traditional Chinese medicine.

The series is a journey through time and space, tracing an origin in the void, he said.

Humanoid presence invokes the presence of Tao.

Yang intentionally adds human consciousness into the void when creating fantasy worlds.

Yang’s journey is fueled by music, especially rock and heavy metal, which strongly influences his expression with color and texture.

“Without physical media, all creation begins in the void,” Yang noted. “All the essence is just the electrons and energy shuttling in the machine and human consciousness.” Chinese culture calls this Tao, or seeking meanings in the unknown world, which is what Yang seeks to express.

CG artist, educator and curator Xueguo Yang.

Check out more of Yang’s work.

Learn more about NVIDIA Omniverse, including tips, tricks and more on the Omniverse YouTube channel. For additional support, explore the Omniverse forums or join the Discord server to chat with the community. Check out the Omniverse Twitter, Instagram and Medium page to stay up to date.

Follow NVIDIA Studio on Instagram, Twitter and Facebook. Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the NVIDIA Studio newsletter.

Some things are easy as A, B, C. But when it comes to autonomous vehicles, the key may be in one, two, three.

Faction, a Bay Area-based startup and NVIDIA Inception member, is preparing to debut its business-to-business autonomous delivery service, with three-wheel production electric vehicles purpose-built for driverless operation, streamlining time to market.

In addition, the company has built its autonomous driving system on NVIDIA DRIVE AGX for robust, automotive-grade AI compute.

The demand for last-mile enterprise delivery has significantly increased over the past decade, with few signs of slowing down. The number of business-to-business parcels grew from 7 billion to 11 billion from 2019 to 2021, according to ABI Research. The firm expects this number to continue rising, to reach 75 billion in 2030.

However, with a rising labor shortage that has hit the trucking industry especially hard, it’s difficult for driver supply to meet this demand.

Faction aims to narrow this gap with affordable, production autonomous vehicles ready to hit the road this year.

Smaller Vehicles, Bigger Brains

Faction’s flagship vehicle, the D1, is built on EV maker Arcimoto’s low-cost vehicle platform. The vehicle is designed to be completely driverless, combining autonomous driving and teleoperation to navigate delivery routes.

The D1 delivery vehicle can reach speeds up to 75 miles per hour, with over 100 miles of battery range, and tote 500 pounds of cargo.

Inside the vehicle, NVIDIA DRIVE AGX delivers high-performance and energy-efficient AI compute for autonomous driving.

The centralized platform runs the redundant and diverse deep neural networks that power the vehicle’s AI capabilities, while leaving enough compute headroom to continuously add new features. It’s also automotive grade, achieving systematic safety standards such as ISO 26262 ASIL-D.

“Our goal is to deploy cost-efficient autonomous vehicles in the near term,” said Faction CEO Ain McKendrick. “We chose NVIDIA DRIVE because it’s an automotive-grade platform that meets our needs today.”

Making the Inception Connection

As a member of NVIDIA Inception, Faction taps into the latest AI technologies and expertise to create vehicles that are always at the cutting edge.

Inception supports all stages of a startup’s life cycle. NVIDIA works closely with members to provide the best technical tools, latest resources and opportunities to connect with investors.

McKendrick added that Inception has helped Faction take full advantage of the latest software tools for faster iteration and streamlined development.

Expanding Services

In addition to last-mile delivery, Faction is targeting its vehicles for the micro-mobility market.

The startup plans to next year launch single-rider vehicles that can be requested via an app. The vehicle will drive autonomously to the customer, who will then take control and manually drive it to their destination.

Faction’s single-rider shared mobility vehicle based on the ElectraMeccanica SOLO EV.

The goal is to meet single-rider demand with a cost-efficient and sustainable shared mobility offering.

By keeping its delivery and mobility vehicles in a compact package without sacrificing compute, Faction proves that three truly is a magic number.

Turn the TV on. GeForce NOW is leveling up gaming in the living room.

The Samsung Gaming Hub launched today, delivering GeForce NOW natively on 2022 Samsung Smart TVs.

Plus, the SHIELD Software Experience Upgrade 9.1 is now rolling out to all NVIDIA SHIELD TVs, delivering new gaming features that improve GeForce NOW.

Great living room gaming pairs perfectly with a great gaming controller. GeForce NOW members can claim a new reward for 20% off all SteelSeries gaming controllers on SteelSeries.com — available through the end of August.

Gear up for the final game release in June with six games available to stream today, with titles from Motorsport Games joining the GeForce NOW library. And 13 additions are coming in July. The announcement arrives just in time to grab games at discounted prices during the Steam Summer Sale through Thursday, July 7.

To cap it all off, the GeForce NOW v2.0.42 update improves streaming performance with new optimizations that adjust streaming resolutions to best fit network conditions.

What’s All the Hubbub? 

Today’s launch of the Samsung Gaming Hub brings the best of gaming from leading game streaming services like GeForce NOW to 2022 Samsung Smart TVs.

The Samsung Gaming Hub is a new game-streaming discovery platform that bridges hardware and software to provide a better player experience. Gamers can instantly play the biggest games from GeForce NOW and other top gaming partners with no downloads, storage limits or console required.

The best Samsung Smart TVs combine the latest game streaming technology with intelligent technology for picture quality and sound to create a console-like performance, eliminating the hassle of downloads and worries about precious storage space or latency.

The Samsung Gaming Hub is available now on supported TVs in the US, UK, Brazil, Canada, France, Italy, Germany, and Spain. Members can also stream their PC games on the GeForce NOW app on Samsung TVs in other supported GeForce NOW regions.

GeForce NOW RTX 3080 members also have the advantages of ultra-low latency powered by GeForce NOW SuperPODs with faster game rendering, more efficient encoding and higher streaming frame rates. They also benefit from maximized eight-hour gaming sessions and dedicated RTX 3080 servers.

Gamers can even pair their favorite controllers to the Samsung Gaming Hub for a seamless experience.

The Best Keeps Getting Better

SHIELD TV continues to upgrade the best cloud gaming experience in the living room, adding to its existing GeForce NOW support for 4K HDR, 7.1 surround sound, a wide range of controllers, streaming to Twitch, and in-game voice chat with USB headsets. The latest SHIELD update, Software Experience Upgrade 9.1, takes gaming in the living room to new heights.

Just switch on your SHIELD and play hit titles you own from the GeForce NOW library.

SHIELD now automatically switches TVs with automatic low-latency mode to “game mode” when playing games or video conferencing — and then reverts to the previous setting when playing movies or streaming TV shows. This latency-saving feature replaces the cumbersome process of finding the TV remote, switching the mode setting, and changing it back when gaming sessions are complete.

Another new feature is night listening mode, which enables users to stream games or watch movies at night, without disturbing others. SHIELD will automatically adjust sound levels for loud explosions, quiet dialogue and everything in between to deliver a consistent listening experience regardless of volume settings.

The update also includes microphone notifications that help identify the hot mic when multiple devices are connected.

Whether gaming from the cloud with GeForce NOW or playing an Android game locally, the latest SHIELD update helps members get the most responsive gaming experience in the living room.

Get Rewarded With SteelSeries

Members can take control of their gaming with 20% off SteelSeries gaming controllers.

Put the “joy” in joystick with a new controller from SteelSeries.

SteelSeries wireless gaming controllers bring the PC gaming experience to any platform with easy pairing, extreme durability and a battery life of up to 50 hours of playtime. They’re also a part of the full lineup of GeForce NOW Recommended products. The discount is valid for the Nimbus +, the Stratus Duo and even the newest Stratus+ models. Redemption is valid through Wednesday, August 31 for select North American and European regions.

It’s easy to get membership rewards for streaming games on the cloud. Log in to your NVIDIA account and select “GEFORCE NOW” from the header, then scroll down to “REWARDS” and click the “UPDATE REWARDS SETTINGS” button. Check the box in the dialogue window that shows up to start receiving special offers and in-game spoils.

Start July Off With a Bang

This GFN Thursday closes out the month with six new games streaming this week, including games from Motorsport Games. It also kicks off July with the list of 13 titles on the way,

Buckle up. Fast-paced competitive racing titles are on the way.

GeForce NOW welcomes video game publisher Motorsport Games to the cloud. From NASCAR 21: Ignition, the officially licensed video game of the world’s most popular stock-car racing series with, to the thrilling and realistic physics of KartKraft, more gamers than ever can experience racing entertainment streaming to low-powered PCs, Macs and mobile devices.  

Catch the games ready to play today:

Alaloth – Champions of The Four Kingdoms (New release on Steam)
Disgaea 6 Complete (New release on Steam and Epic Games Store)
Card Shark (Steam and Epic Games Store)
KartKraft (Steam)
Hotline Miami (Steam)
NASCAR 21: Ignition (Steam)

And coming this July:

Matchpoint-Tennis Championships (New release on Steam, July 7)
Sword and Fairy Inn 2 (New release on Steam, July 8)
Loopmancer (New release on Steam, July 13)
Stones Keeper: King Aurelius (New release on Steam, July 14)
Endling – Extinction is Forever (New release on Steam and Epic Games Store, July 19)
Grimstar: Welcome to the Savage Planet (New release on Steam, July 19)
Sweet Transit (New release on Steam, July 28)
Panzer Arena: Prologue (New release on Steam, July 20)
Hell Pie (New release on Steam, July 21)
Turbo Sloths (New release on Steam, July 27)
Arma Reforger (Steam)
Dungeon Defenders: Going Rogue (Steam)
rFactor 2 (Steam)

Blow Off Some Steam With a Summer Sale

Speaking of games, it’s the best time to build your collection with the Steam Summer Sale, running through Thursday, July 7.

Speed on over to Steam. Tons of great games, like “Life is Strange: True Colors,” are on sale now.

Get PC games streaming from the GeForce NOW library during Valve’s special event to stream across low-powered PCs, Macs and mobile devices on the cloud. Once purchased, they’re yours forever, and the cloud saves all your progress.

Check out the “Steam Summer Sale” row in the GeForce NOW app to find deals on your next adventure. Race to grab titles like NASCAR 21: Ignition and KartKraft from Motorsport Games and check if any of the GeForce NOW games on your wishlist are on sale. With over 1,300 games streaming on the cloud, it’s a good chance they are.

Extra Games From June

On top of the 25 games announced in June, another seven joined over the month:

Car Mechanic Simulator 2018 (Epic Games Store)
The Cycle: Frontier (New release on Steam and Epic Games Store)
Genshin Impact (Native Launcher)
It Takes Two (Steam and Origin)
Mass Effect Legendary Edition (Steam and Origin)
Skeleton Crew (Steam)
Supraland (Epic Games Store)

Finally, tune into this question we’ve got for you this week. Let us know your answer on Twitter or in the comments below.

what’s a game that deserves to be played on a big screen?

— NVIDIA GeForce NOW (@NVIDIAGFN) June 29, 2022

Silicon Valley magic met Wednesday with 175 years of industrial technology leadership as Siemens CEO Roland Busch and NVIDIA Founder and CEO Jensen Huang shared their vision for an “industrial metaverse” at the launch of the Siemens Xcelerator business platform in Munich.

“When we combine the real and digital worlds we can achieve new levels of flexibility and we can bring new products to market faster,” Busch said during an event at Siemens’ Munich headquarters.

Pairing physics-based digital models from Siemens with real-time AI from NVIDIA, the companies announced they will connect the Siemens Xcelerator and NVIDIA Omniverse platforms.

The connection between Siemens Xcelerator (left) and NVIDIA Omniverse (right) will enable customers to develop full-design-fidelity, closed-loop digital twins.

“With our two companies we can connect with Siemens makes, and what NVIDIA makes to AI and Omniverse,” Huang said. “We can now fuse data from the point of design, all the way through product life cycle management, all the way through the automation of plants to the optimization of the plant after deployment – that entire life cycle can now be in one world.”

Bringing Real, Virtual Worlds Together

Siemens Xcelerator is a business platform that includes internet of things-enabled hardware, software and digital services from across Siemens that offer a comprehensive digital twin that can bring together the mechanical, electrical and software domains.

Siemens is a leader in industrial automation and software, infrastructure, building technology and transportation, and their solutions are used across the manufacturing lifecycle from designing products and the equipment to manufacture those products in factories to controlling and tracking how the equipment moves to orchestrating the flow of people, parts and machines across the factory itself.

The company has built a rich portfolio of hardware and software solutions that are part of the Siemens Xcelerator platform that is now at the center of an ecosystem of more than 50 certified partners

The NVIDIA Omniverse 3D collaboration and simulation development platform delivers photorealistic rendering capabilities and advanced AI to the Siemens Xcelerator ecosystem, allowing the digital twin to be represented in full-design fidelity, and operating in real-time.

Working Side by Side

During Wednesday’s event, Busch and Huang outlined their plans, showed a demo video of these technologies working together, and sat down for an informal fireside chat with Milan Nedeljkovic, a member of the board of management of BMW.

“The digital twin itself is not the challenge,” Nedeljkovic said, outlining BMW’s plans to create sophisticated digital models of its manufacturing process that are linked, in real-time- to real-world factories. “The challenge is to link into this digital twin the existing systems one by one, and to have any change in the digital twin being reverted in the original planning tools.”

Busch and Huang began their conversation by sharing the story behind Wednesday’s news, relaying insights from their meeting in November.

“We figured out that when we bring our competencies, our technology, our platforms together, we can do something great,” Busch said. “We can basically go for the full-fledged industrial metaverse… to have faster decisions, real-time decisions with higher confidence.”

Transforming Businesses

With the connection of Siemens Xcelerator and NVIDIA Omniverse, manufacturing customers of any size will be able to immediately analyze issues, identify root causes, and simulate and optimize solutions, thanks to the AI-infused, real-time photorealistic virtual environments, Busch and Huang said.

So, for example, if something goes wrong on the factory floor, teams of users from around the world will be able to meet, virtually, to collaborate and use the connected digital twin to quickly identify, troubleshoot and solve the problem.

The partnership also promises to make factories more efficient and sustainable. Users will more easily be able to turn data streaming from the factory floor PLCs and sensors into AI models. These models can be used to continuously optimize performance, predict problems, reduce energy consumption, and streamline the flow of parts and materials across the factory floor.

Under the Hood

The partnership brings together complementary technologies and ecosystems, the two leaders said.

Innovating at the intersection of real and digital worlds, Siemens offers the industry’s most comprehensive digital twin by representing the mechanical, electrical and software domains interacting, Busch explained.

NVIDIA Omniverse is a multi-GPU scalable virtual world engine that enables teams to connect 3D design and CAD applications for collaborative design workflows and allows users to build physically accurate virtual worlds for training, testing and operating AI agents such as robots and autonomous machines.

Together, Xcelerator and Omniverse offer a powerful combination of capabilities.

Teams will be able to meet and collaborate in NVIDIA Omniverse’s real-time, photorealistic virtual environment.

For example, energy and utility plant engineers can virtually navigate through the live digital twin of a facility to analyze the thermal distribution produced by the existing air conditioning. system from Siemens simulations.

Then they can explore different vents and cooling towers configurations, powered by use the of Omniverse’s full-design-fidelity visualization capabilities enabled by real-time ray and path traced rendering.

Ultimately every component inside a factory can be inspected and optimized – and eventually, automated by AI. A robotic conveyer belt could be trained to alert an operator when the conveyor motor is undergoing excessive energy draw due to improperly greased rollers, saving time and maintenance costs, for example.

Advancing Digital Twins

These innovations will reach not just from the cloud to the factory floor, but across industries, Busch and Huang explained.

“You know, if you look at almost every engineering project today of any significant complexity, we simulate the product before we go to production,” Huang said. “And yet, for most plants and most factories, it’s nearly impossible to do that today… and so we needed to create a very large-scale simulation platform – Omniverse.”

The addition of Siemens Xcelerator to the Omniverse ecosystem will enable domain-specific digital twins, using the rich design, manufacturing and operational data from Siemens’ mechanical, electrical, software, IoT and edge solutions in Omniverse.

“The world’s industries represent hundreds of trillions of dollars over time,” Huang said, adding that finding even small efficiencies in such huge systems is a huge opportunity. “That’s one of the reasons why people want to invest and now we have the technology capability for them to do so.”

BMW’s iFACTORY

The two CEOs continued the fireside chat with BMW AG’s Member of the Board of Management, Dr. Milan Nedeljković.

Nedeljković outlined the carmaker’s initiative, dubbed iFACTORY, to make its factories “lean, green and digital.”

And he explained how BMW Group is working with both Siemens and NVIDIA to move this effort forward.

“By the end of next year BMW will offer 13 fully electrified cars,” he said. “So we are changing our equipment, we are changing our production environment, we are changing our processes, and all of that needs good planning, and, again, digitization is a part of it.”

Siemens and NVIDIA are continuing to help BMW with this digital transformation with the companies committing to collaborate to develop BMW’s factory in Debrecen, Hungary.

BMW is moving fast, planning to get the factory running by 2025. That means Siemens and NVIDIA, who will help BMW model the factory, will need to move fast, too.

“We’re going to make it happen,” Huang said.

Learn more about Siemens and NVIDIA’s partnership.

NVIDIA and its partners continued to provide the best overall AI training performance and the most submissions across all benchmarks with 90% of all entries coming from the ecosystem, according to MLPerf benchmarks released today.

The NVIDIA AI platform covered all eight benchmarks in the MLPerf Training 2.0 round, highlighting its leading versatility.

No other accelerator ran all benchmarks, which represent popular AI use cases including speech recognition, natural language processing, recommender systems, object detection, image classification and more. NVIDIA has done so consistently since submitting in December 2018 to the first round of MLPerf, an industry-standard suite of AI benchmarks.

Leading Benchmark Results, Availability

In its fourth consecutive MLPerf Training submission, the NVIDIA A100 Tensor Core GPU based on the NVIDIA Ampere architecture continued to excel.

Fastest time to train on each network by each submitter’s platform

Selene — our in-house AI supercomputer based on the modular NVIDIA DGX SuperPOD and powered by NVIDIA A100 GPUs, our software stack and NVIDIA InfiniBand networking — turned in the fastest time to train on four out of eight tests.

To calculate per-chip performance, this chart normalizes every submission to the most common scale across submitters, and scores are normalized to the fastest competitor which is shown with 1x.

NVIDIA A100 also continued its per-chip leadership, proving the fastest on six of the eight tests.

A total of 16 partners submitted results this round using the NVIDIA AI platform. They include ASUS, Baidu, CASIA (Institute of Automation, Chinese Academy of Sciences), Dell Technologies, Fujitsu, GIGABYTE, H3C, Hewlett Packard Enterprise, Inspur, KRAI, Lenovo, MosaicML, Nettrix and Supermicro.

Most of our OEM partners submitted results using NVIDIA-Certified Systems, servers validated by NVIDIA to provide great performance, manageability, security and scalability for enterprise deployments.

Many Models Power Real AI Applications

An AI application may need to understand a user’s spoken request, classify an image, make a recommendation and deliver a response as a spoken message.

Even the simple above use case requires nearly 10 models, highlighting the importance of running every benchmark

These tasks require multiple kinds of AI models to work in sequence, also known as a pipeline. Users need to design, train, deploy and optimize these models fast and flexibly.

That’s why both versatility – the ability to run every model in MLPerf and beyond – as well as leading performance are vital for bringing real-world AI into production.

Delivering ROI With AI

For customers, their data science and engineering teams are their most precious resources, and their productivity determines the return on investment for AI infrastructure. Customers must consider the cost of expensive data science teams, which often plays a significant part in the total cost of deploying AI, as well as the relatively small cost of deploying the AI infrastructure itself.

AI researcher productivity depends on the ability to quickly test new ideas, requiring both the versatility to train any model as well as the speed afforded by training those models at the largest scale.That’s why organizations focus on overall productivity per dollar to determine the best AI platforms — a more comprehensive view that more accurately represents the true cost of deploying AI.

In addition, the utilization of their AI infrastructure relies on its fungibility, or the ability to accelerate the entire AI workflow — from data prep to training to inference — on a single platform.

With NVIDIA AI, customers can use the same infrastructure for the entire AI pipeline, repurposing it to match the varying demands between data preparation, training and inference, which dramatically boosts utilization, leading to very high ROI.

And, as researchers discover new AI breakthroughs, supporting the latest model innovations is key to maximizing the useful life of AI infrastructure.

NVIDIA AI delivers the highest productivity per dollar as it is universal and performant for every model, scales to any size and accelerates AI from end to end — from data prep to training to inference.

Today’s results provide the latest demonstration of NVIDIA’s broad and deep AI expertise shown in every MLPerf training, inference and HPC round to date.

23x More Performance in 3.5 Years

In the two years since our first MLPerf submission with A100, our platform has delivered 6x more performance. Continuous optimizations to our software stack helped fuel those gains.

Since the advent of MLPerf, the NVIDIA AI platform has delivered 23x more performance in 3.5 years on the benchmark — the result of full-stack innovation spanning GPUs, software and at-scale improvements. It’s this continuous commitment to innovation that assures customers that the AI platform that they invest in today and keep in service for 3 to 5 years, will continue to advance to support the state-of-the-art.

In addition the NVIDIA Hopper architecture, announced in March, promises another giant leap in performance in future MLPerf rounds.

How We Did It

Software innovation continues to unlock more performance on the NVIDIA Ampere architecture.

For example, CUDA Graphs — software that helps minimize launch overhead on jobs that run across many accelerators — is used extensively across our submissions. Optimized kernels in our libraries like cuDNN and pre-processing in DALI unlocked additional speedups. We also implemented full stack improvements across hardware, software and networking such as NVIDIA Magnum IO and SHARP, which offloads some AI functions into the network to drive even greater performance, especially at scale.

All the software we use is available from the MLPerf repository, so everyone can get our world-class results. We continuously fold these optimizations into containers available on NGC, our software hub for GPU applications, and offer NVIDIA AI Enterprise to deliver optimized software, fully supported by NVIDIA.

Two years after the debut of A100, the NVIDIA AI platform continues to deliver the highest performance in MLPerf 2.0, and is the only platform to submit on every single benchmark. Our next-generation Hopper architecture promises another giant leap in future MLPerf rounds.

Our platform is universal for every model and framework at any scale, and provides the fungibility to handle every part of the AI workload. It’s available from every major cloud and server maker.