Innovation Inspiration: 5 Startup Stories From NVIDIA Inception in 2021

NVIDIA Inception is one of the largest startup ecosystems in the world — and its thousands of members achieved impressive feats in 2021, bringing AI and data science to an array of industries.

NVIDIA Inception nurtures cutting-edge AI, data science and HPC startups with go-to-market support, expertise and technology. This year, the program surpassed 9,000 members — about two-thirds of the total number of AI startups in the world, as estimated by Pitchbook.

Inception members worldwide are using AI to detect and monitor wildfires, power checkout-free refreshment stands at stadiums, predict car crashes, monitor utility poles and sort recyclables.

Here are some of the stories shared in 2021 by NVIDIA Inception companies doing breakthrough work in different industries:

Agriculture: Greeneye Cuts Chemicals, Costs for Farmers

Tel Aviv startup Greeneye is developing AI for precision spraying of crops, reducing use of herbicides by as much as 90 percent. Its system uses the NVIDIA Jetson platform to target herbicides on individual weeds in milliseconds, decreasing water and soil contamination. The company is working with corn and soybean farmers in the midwest U.S. to deploy its AI-driven smart sprayers on tractors.

Automotive: Plus Revs Up Autonomous Trucks

Self-driving truck company Plus, based in Silicon Valley, is building an autonomous vehicle platform that can be retrofitted to existing trucks or added to new vehicles by manufacturers. A software-defined system built on NVIDIA DRIVE Orin, the PlusDrive platform uses lidar, radar and cameras to gather data about a truck’s surroundings, plan its course and control the vehicle.

Healthcare: Peptone Powers Protein Engineering

U.K.-based Peptone has developed a protein drug discovery engine that helps scientists find protein variants with promising therapeutic properties. The startup uses generative AI models and complex simulations running on NVIDIA DGX A100 GPUs to model unstructured proteins, which are involved in cancer, inflammatory diseases and neurodegenerative diseases.

Public Sector: Fotokite Supports First Responders 

Fotokite, based in Zurich, used the NVIDIA Jetson platform to build an autonomous tethered drone that gives first responders an aerial perspective during fires, search-and-rescue missions or medical emergencies. The system’s thermal camera can help firefighters locate hotspots that need attention, find the safest location to enter or exit a structure, and guide firefighters on whether their hoses are targeting the right points.

Retail: Heartdub Drives Sustainable Fashion

Beijing-based Heartdub digitizes textiles and uses AI to simulate how clothes look on the human body, enabling creators to display and verify designs virtually. Its physics engine, which takes advantage of NVIDIA Quadro RTX 8000 GPUs and NVIDIA HDR InfiniBand networking, can lessen the number of physical samples needed, reduce waste from excess fabric and minimize unsold inventory.

Read more startup stories and join NVIDIA Inception.

The post Innovation Inspiration: 5 Startup Stories From NVIDIA Inception in 2021 appeared first on The Official NVIDIA Blog.

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GFN Thursday Says ‘GGs’ to 2021 With Our Community’s Top Titles of the Year

It’s the final countdown for what’s been a big year for cloud gaming. For the last GFN Thursday of the year, we’re taking a look at some of the GeForce NOW community’s top picks of games that joined the GeForce NOW library in 2021.

Plus, check out the last batch of games coming to the cloud this year, with seven new additions streaming this week.

Bringing Gaming to Gamers

This year, the GeForce NOW library has reached over 1,100 PC games streaming on the service, including nearly 100 free-to-play options. Plus, new titles come to the cloud every GFN Thursday, meaning more players can play more games that they own.

Whether they’re playing on underpowered PCs, Macs, Chromebooks, SHIELD TVs, Android devices, iPhones or iPads, there’s a PC game for every player to stream instantly from this ever-expanding library — at legendary GeForce levels of performance.

Pumped Up Picks 

To round out a year full of great gaming and new title additions, the GeForce NOW community shared some of their picks to play on the cloud.

Members are having a blast strapping on Star-Lord’s boots for an original adventure in Marvel’s Guardians of the Galaxy, and have shared their love for the game.

Marvel’s Guardians of the Galaxy looks absolutely stunning on GeForce NOW,” said DrSpaceman. “The colorful, alien worlds are so vibrant with RTX ON and the game plays like a dream.”

“Playing this game on the 3080 tier is just beautiful,” said Bill from NerdNest.tv. “The art direction is top notch.”

Gamers are also delighted to befriend charming spirit companions and enjoy a rich tale in Kena: Bridge of Spirits, and thrilled to overthrow a corrupt government in Far Cry 6.

Kena: Bridge of Spirits was by far one of my favorite games, due to the graphics, visuals and the storyline,” said VetCloudGaming. “The visuals were amazing and reminded me of a film.”

For fun with friends, players are squading up to explore, build, craft and battle in the MMO New World or become the Vikings they were born to be in Valheim.

New World has to be the biggest surprise game of the year,” said Marchief from Cloud Gaming Xtreme. “So many people wanted it, and now it’s on GeForce NOW.”

If stretching 2021 to include an extra month from the end of last year — members are taking Cyberpunk 2077 to the next level with cinematic quality by turning RTX ON for a glamorous game and gritty story.

Other games we’ve seen mentioned frequently include PowerWash Simulator and Gas Station Simulator for entertaining scenarios with wacky outcomes. Games like No Man’s Sky and Icarus are popular options for those looking for a challenge to explore and survive. And members wanting to become an unstoppable warrior should try Warframe for a sci-fi, story-driven, free-to-play game.

The Power to Play With GeForce RTX 3080

Another big win for GeForce NOW members this year is the ability to play all of these titles using the newest generation of cloud gaming with a GeForce NOW RTX 3080 membership.

RTX 3080 memberships turn nearly any device into a gaming rig capable of streaming at up to 1440p resolution and 120 frames per second on PCs, native 1440p or 1600p at 120 FPS on Macs, and 4K HDR at 60 FPS on SHIELD TV, with ultra-low latency that goes head-to-head with many local gaming experiences.

It also comes with the longest gaming session length available of eight hours, full control to customize in-game graphics settings, as well as RTX ON rendering environments in cinematic quality for supported games.

Besides powering up your ultimate cloud gaming experience on GeForce NOW, for a limited time, get the gift of a copy of Crysis Remastered free with the purchase of an RTX 3080 membership or six-month Priority membership. Terms and conditions apply.

End Games for 2021

NARAKA: BLADEPOINT on GeForce NOW
Battle it out with the best using martial-arts-inspired melee combat and get hooked onto NARAKA: BLADEPOINT, now supported on Epic Games Store.

The following seven titles come to the cloud this week to close out a year packed full of gaming:

We make every effort to launch games on GeForce NOW as close to their release as possible, but, in some instances, games may not be available immediately.

Stay tuned and look out for new announcements at CES to see how we’re kicking off 2022. Tell us what you want to see next for GeForce NOW on Twitter or in the comments below.

The post GFN Thursday Says ‘GGs’ to 2021 With Our Community’s Top Titles of the Year appeared first on The Official NVIDIA Blog.

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AI Podcast Wrapped: Top Five Episodes of 2021

Recognized as one of tech’s top podcasts, the NVIDIA AI Podcast is approaching 3 million listens in five years, as it sweeps across topics like robots, data science, computer graphics and renewable energy.

Its 150+ episodes reinforce the extraordinary capabilities of AI — from diagnosing disease to boosting creativity to helping save the Earth — while focusing on the people behind the magic.

Here are our most-played episodes from 2021:

NVIDIA’s Liila Torabi Talks the New Era of Robotics Through Isaac Sim

Robots aren’t limited to the assembly line. Liila Torabi, senior product manager for Isaac Sim, a robotics and AI simulation platform powered by NVIDIA Omniverse, talks about where the field’s headed.

GANTheftAuto: Harrison Kinsley on AI-Generated Gaming Environments

Humans playing games against machines is nothing new, but now computers can develop their own games for people to play. Programming enthusiast and social media influencer Harrison Kinsley created GANTheftAuto, an AI-based neural network that generates a playable chunk of the classic video game Grand Theft Auto V.

Jules Anh Tuan Nguyen Explains How AI Lets Amputee Control Prosthetic Hand, Video Games

With deep learning, amputees can now control their prosthetics by simply thinking through the motion.

Jules Anh Tuan Nguyen, a postdoctoral researcher at the University of Minnesota’s biomedical engineering department, speaks about his efforts to allow amputees to control their prosthetic limb — right down to the finger motions — with their minds.

Matt Ginsberg Built a GPU-Powered Crossword Solver to Take on Top Word Nerds

Dr.Fill, the crossword puzzle-playing AI created by Matt Ginsberg — serial entrepreneur, pioneering AI researcher and former research professor — scored higher than any humans earlier this year at the American Crossword Puzzle Tournament.

GE’s Danielle Merfeld and Arvind Rangarajan on AI and Renewable Energy

At GE Renewable Energy, CTO Danielle Merfeld and technical leader Arvind Rangarajan are focused on  advancing renewable energy. They cover how the company uses AI and a human-in-the-loop process to make renewable energy more widespread.

Subscribe to the AI Podcast

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. If your favorite isn’t listed here, drop us a note.

Make the AI Podcast Better

Have a few minutes to spare? Fill out this listener survey. Your answers will help us make a better podcast.

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It Was a Really Virtual Year: Top Five NVIDIA Videos of 2021

What better way to look back at NVIDIA’s top five videos of 2021 than to hop into the cockpit of a virtual plane flying over Taipei.

That was how NVIDIA’s Jeff Fisher and Manuvir Das invited viewers into their COMPUTEX keynote on May 31. Their aircraft sailed over the city’s green hills and banked around its tallest skyscraper, Taipei 101, on the wings of Microsoft Flight Sim running on an NVIDIA RTX 3080 GPU.

It was a fitting start to one of the world’s largest annual tech gatherings, and one of the many virtual events in the second year of the COVID pandemic.

GeForce RTX and AI at COMPUTEX

In the keynote (below), Fisher unveiled our latest flagship gaming GPU, the NVIDIA GeForce RTX 3080 Ti, and the latest games it brings to life with features like ray tracing.

Das revealed new ways to access enterprise AI through subscriptions to NVIDIA Base Command in the cloud and the growing lineup of NVIDIA Certified Systems, many of which are available from partners based in Taiwan.

Omniverse Enterprise and Research at SIGGRAPH

A history of computer graphics packed into less than two minutes of video narrated by Alvy Ray Smith, the computer scientist who co-founded Pixar and helped pioneer animated movies, introduced an Aug. 10 special address at SIGGRAPH.

Richard Kerris, vice president of Omniverse platform development, launched NVIDIA Omniverse Enterprise, an environment where companies from Adobe to Zoom can create virtual worlds and digital twins.

Sanja Fidler, senior director of AI research at NVIDIA, walked viewers through a grab bag of research projects including software to create your personal avatar in real time.

Making of a Kitchen Keynote

In his SIGGRAPH talk, Kerris showed a clip giving a behind-the-scenes look at how NVIDIA used Omniverse to make CEO Jensen Huang’s GTC keynote in April.

The full 30+ minute mini-documentary (below) debuted at SIGGRAPH and was one of our most popular outtakes from 2021, viewed nearly 1.5 million times. It’s the story of how 34 artists, 15 researchers and 21 Jensens made magic in Omniverse.

A Three-Chip Company

The content of that GTC keynote included a fair amount of its own tech fireworks.

In declaring NVIDIA a “three-chip company,” Huang announced the NVIDIA Grace CPU, for building what he called “giant scale-out” AI and high performance computing systems; the NVIDIA BlueField-3 DPU for networking; and NVIDIA DRIVE Atlan for autonomous vehicles.

With those headliners, as well as new software stacks for conversational AI, recommender systems, networking, security and more, it’s no wonder the talk (below) was viewed more than 2.2 million times.

Digital Twins and Avatars

In retrospect, it was a year of digital twins and virtual worlds. So, it was fitting that one of our most memorable moments was the debut of Toy Jensen, a character based on our CEO, brought to life by NVIDIA Omniverse Avatar.

Toy Jensen hit the stage in the November GTC keynote (below). It’s work that will animate tomorrow’s smart retail shops and drive-throughs and even smart cars, thanks to NVIDIA DRIVE Concierge.

In his talk, our very real CEO also described a new supercomputer we’ll build called NVIDIA Earth-2, to advance climate science.

“I can’t imagine a greater and more important use” for all the technologies NVIDIA has created, Huang said.

Q&A With Toy Jensen

And just for fun, here’s a short Q&A with Toy Jensen.

The post It Was a Really Virtual Year: Top Five NVIDIA Videos of 2021 appeared first on The Official NVIDIA Blog.

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Have a Holly, Jolly Gaming Season on GeForce NOW

Happy holidays, members.

This GFN Thursday is packed with winter sales for several games streaming on GeForce NOW, as well as seasonal in-game events. Plus, for those needing a last minute gift for a gamer in their lives, we’ve got you covered with digital gift cards for Priority memberships.

To top it all off, six new games join the GeForce NOW library this week for some festive fun.

Jingle Bells, Holiday Sales, Events Are on the Way

Whether you made the naughty or nice list this year, there are plenty of games on your wishlist on sale.

The Witcher 3: Wild Hunt GOTY on GeForce NOW
Save big on some of PC gaming’s best, including The Witcher 3: Wild Hunt GOTY.

Snag some top titles from Square Enix like Guardians of the Galaxy and Life is Strange: True Colors. Dive into great games from Deep Silver like Metro Exodus and Kingdom Come Deliverance. Experience hits from Ubisoft like Far Cry 6 and Assassin’s Creed Valhalla. Get your GOG game on playing Cyberpunk 2077 or The Witcher 3: Wild Hunt GOTY.

To catch even more of the games from the GeForce NOW library on sale this holiday season, check out the “Sales and Special Offers” row on the GeForce NOW app.

On top of these winter sales and for a limited time, get the gift of a copy of Crysis Remastered free with the purchase of a six-month Priority membership or the new GeForce NOW RTX 3080 membership. Terms and conditions apply.

World of Tanks streaming on GeForce NOW
Yes, this is really happening.

Also, keep an eye out for holiday-themed in-game events in World of Tanks and more. Get to the tank in the Schwarzenegger Campaign, where you will receive missions from Arnold himself.

With over 1,100 titles streaming on the cloud, including nearly 100 free-to-play options and more coming every week, there’s a game for everyone to enjoy this holiday.

The Perfect Gift for a Gamer

GeForce NOW Digital Gift Cards
The perfect digital stocking stuffer for your favorite gamer.

The perfect last-minute present for a gamer in your life is the gift of PC gaming on any device.

Grab a GeForce NOW Priority membership digital gift card, available in two-, six- or 12-month options. Power up your gamer’s GeForce NOW compatible devices with the kick of a full gaming rig, priority access to gaming servers, extended session lengths and RTX ON to take supported games to the next level of rendering quality.

Check out the GeForce NOW membership page for more information on priority benefits.

Gift cards can be redeemed on an existing GeForce NOW account or added to a new one. Existing Founders and Priority members will have the number of months added to their accounts.

Let it Stream, Let it Stream, Let it Stream

No matter if the weather outside is frightful, streaming games is delightful.

GFN Thursday is all about games. It also means taking games to the next level. This week, Far Cry 6 and Bright Memory: Infinite go bigger and bolder with support for RTX ON.

Farming Simulator 22 on GeForce NOW
Create your own farm and let the good times grow in Farming Simulator 22.

Plus, this GFN Thursday, enjoy six new games ready to stream from the GeForce NOW library:

Note: members who purchased the Farming Simulator 22 DLC directly from their website will not be able to access it on GeForce NOW. DLC purchased from the respective supported game store — Steam or Epic Games Store — will be playable.

We make every effort to launch games on GeForce NOW as close to their release as possible, but, in some instances, games may not be available immediately.

Also, keep an eye out for the free Epic Games Store titles that are being given away over the holidays. Like last year, we’ll look to add as many of these as we can when we return next year.

Whether you’re celebrating the holidays or just looking forward to a weekend full of gaming, tell us what games are bringing you joy on Twitter or in the comments below.

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3D Artist Turns Hobby Into Career, Using Omniverse to Turn Sketches Into Masterpieces

Yenifer Macias headshot
Yenifer Macias

It was memories of playing Pac-Man and Super Mario Bros while growing up in Colombia’s sprawling capital of Bogotá that inspired Yenifer Macias’s award-winning submission for the #CreateYourRetroverse contest, featured above.

The contest asked NVIDIA Omniverse users to share scenes that visualize where their love for graphics began. For Macias, that passion goes back to childhood. She loved video games — but was all the more wowed by their art.

Now, using Omniverse, a physically accurate 3D design collaboration platform that runs on NVIDIA Studio products and supports the leading 3D content creation tools of the industry, Macias accelerates her work as a 3D artist — making environments and props for video games, animation, films and advertisements.

She aimed in her #CreateYourRetroverse scene, she said, to “immerse viewers in the game world for a bit and remind them of childhood.”

The Artist’s Journey

Macias loved to doodle and always knew she’d study art.

A 3D animation course she took at a vocational institute in Bogotá confirmed her passion. She wanted to make 3D art all day, every day. Due to financial hardships, however, Macias didn’t have a home computer.

To practice her graphics skills, Macias took classes and completed internships — and with her first paycheck as a 3D artist, she bought a PC to continue her projects at home.

Over the past eight years, Macias has completed a wide range of work including visual effects, architectural drawings and freelance animations. She uses design tools like Adobe Substance Painter, Autodesk Maya and ZBrush.

From Concept to Execution

For her #CreateYourRetroverse scene, Macias started with an initial sketch:

Based on references, she then created all of the props and objects for the environment from scratch in Autodesk Maya. Next, she brought her assets into the Omniverse Create app — using an Omniverse Connector — where she fine-tuned lighting, texture and render.

“I found Omniverse’s powerful render engine to be incredible — you can make changes to the lighting and materials, seeing the results in real time,” Macias said.

Despite being a first-time user of Omniverse, Macias said the Omniverse Create app for massive 3D world building helped her finish the project on a tight timeline and “was very user friendly.”

Looking forward, she plans to use Omniverse’s real-time collaboration feature to team up on projects with artists across the world.

With Omniverse, NVIDIA Studio creators like Macias can supercharge their artistic workflows with optimized RTX-accelerated hardware and software drivers, and state-of-the-art AI and simulation features.

Explore the NVIDIA Omniverse gallery, forums and Medium channel. Check out Omniverse tutorials on Twitter and YouTube, and join our Discord server and Twitch channel to chat with the community.

The post 3D Artist Turns Hobby Into Career, Using Omniverse to Turn Sketches Into Masterpieces appeared first on The Official NVIDIA Blog.

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NVIDIA BlueField Sets New World Record for DPU Performance

Data centers need extremely fast storage access, and no DPU is faster than NVIDIA’s  BlueField-2.

Recent testing by NVIDIA shows that a single BlueField-2 data processing unit reaches 41.5 million input/output operations per second (IOPS) — more than 4x more IOPS than any other DPU.

The BlueField-2 DPU delivered record-breaking performance using standard networking protocols and open-source software. It reached more than 5 million 4KB IOPS and from 7 million to over 20 million 512B IOPS for NVMe over Fabrics (NVMe-oF), a common method of accessing storage media, with TCP networking, one of the primary internet protocols.

To accelerate AI, big data and high performance computing applications, BlueField provides even higher storage performance using the popular RoCE network transport option.

In testing, BlueField supercharged performance as both an initiator and target, using different types of storage software libraries and different workloads to simulate real-world storage configurations. BlueField also supports fast storage connectivity over InfiniBand, the preferred networking architecture for many HPC and AI applications.

Testing Methodology

The 41.5 million IOPS reached by BlueField is more than 4x the previous world record of 10 million IOPS, set using proprietary storage offerings. This performance was achieved by connecting two fast Hewlett Packard Enterprise Proliant DL380 Gen 10 Plus servers, one as the application server (storage initiator) and one as the storage system (storage target).

Each server had two Intel “Ice Lake” Xeon Platinum 8380 CPUs clocked at 2.3GHz, giving 160 hyperthreaded cores per server, along with 512GB of DRAM, 120MB of L3 cache (60MB per socket) and a PCIe Gen4 bus.

To accelerate networking and NVMe-oF, each server was configured with two NVIDIA BlueField-2 P-series DPU cards, each with two 100Gb Ethernet network ports, resulting in four network ports and 400Gb/s wire bandwidth between initiator and target, connected back-to-back using NVIDIA LinkX 100GbE Direct-Attach Copper (DAC) passive cables. Both servers had Red Hat Enterprise Linux (RHEL) version 8.3.

For the storage system software, both SPDK and the standard upstream Linux kernel target were tested using both the default kernel 4.18 and one of the newest kernels, 5.15. Three different storage initiators were benchmarked: SPDK, the standard kernel storage initiator, and the FIO plugin for SPDK. Workload generation and measurements were run with FIO and SPDK. I/O sizes were tested using 4KB and 512B, which are common medium and small storage I/O sizes, respectively.

The NVMe-oF storage protocol was tested with both TCP and RoCE at the network transport layer. Each configuration was tested with 100 percent read, 100 percent write and 50/50 read/write workloads with full bidirectional network utilization.

Our testing also revealed the following performance characteristics of the BlueField DPU:

  • Testing with smaller 512B I/O sizes resulted in higher IOPS but lower-than-line-rate throughput, while 4KB I/O sizes resulted in higher throughput but lower IOPS numbers.
  • 100 percent read and 100 percent write workloads provided similar IOPS and throughput, while 50/50 mixed read/write workloads produced higher performance by using both directions of the network connection simultaneously.
  • Using SPDK resulted in higher performance than kernel-space software, but at the cost of higher server CPU utilization, which is expected behavior, since SPDK runs in user space with constant polling.
  • The newer Linux 5.15 kernel performed better than the 4.18 kernel due to storage improvements added regularly by the Linux community.

Record-Setting DPU Storage Performance Enables Storage Performance With Security

In today’s storage landscape, the vast majority of cloud and enterprise deployments require fast, distributed and networked flash storage, accessed over Ethernet or InfiniBand. Faster servers, GPUs, networks and storage media all tax server CPUs to keep up, and the best way to do so is to deploy storage-capable DPUs.

The incredible storage performance demonstrated by the BlueField-2 DPU enables higher performance and better efficiency across the data center for both application servers and storage appliances.

On top of fast storage access, BlueField also supports hardware-accelerated encryption and decryption of both Ethernet storage traffic and the storage media itself, helping protect against data theft or exfiltration.

It offloads IPsec at up to 100Gb/s (data on the wire) and 256-bit AES-XTS at up to 200Gb/s (data at rest), reducing the risk of data theft if an adversary has tapped the storage network or if the physical storage drives are stolen or sold or disposed of improperly.

Customers and leading security software vendors are using BlueField’s recently updated NVIDIA DOCA framework to run cybersecurity applications – such as a distributed firewall or security groups with micro-segmentation – on the DPU to further improve application and network security for compute servers, which reduces the risk of inappropriate access or data modifications on the storage attached to those servers.

Learn More About NVIDIA Networking Acceleration 

Learn more about NVIDIA DPUs, DOCA, RoCE, and how DPUs and DOCA enable accelerated networking and Zero-Trust Security with these links:

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How Omniverse Wove a Real CEO — and His Toy Counterpart — Together With Stunning Demos at GTC 

It could only happen in NVIDIA Omniverse — the company’s virtual world simulation and collaboration platform for 3D workflows.

And it happened during an interview with a virtual toy model of NVIDIA’s CEO, Jensen Huang.

“What are the greatest …” one of Toy Jensen’s creators asked, stumbling, then stopping before completing his scripted question.

Unfazed, the tiny Toy Jensen paused for a moment, considering the answer carefully.

“The greatest are those,” Toy Jensen replied, “who are kind to others.”

Leading-edge computer graphics, physics simulation, a live CEO, and a supporting cast of AI-powered avatars came together to make NVIDIA’s GTC keynote — delivered using Omniverse — possible.

Along the way, a little soul got into the mix, too.

The AI-driven comments, added to the keynote as a stinger, provided an unexpected peek at the depth of Omniverse’s technology.

“Omniverse is the hub in which all the various research domains converge and align and work in unison,” says Kevin Margo, a member of NVIDIA’s creative team who put the presentation together. “Omniverse facilitates the convergence of all of them.”

Toy Jensen’s ad-lib capped a presentation that seamlessly mixed a real CEO with virtual and real environments as Huang took viewers on a tour of how NVIDIA technologies are weaving AI, graphics and robotics together with humans in real and virtual worlds.

Real CEO, Digital Kitchen

While the CEO viewers saw was all real, the environment around him morphed as he spoke to support the story he was telling.

Viewers saw Huang deliver a keynote that seemed to begin, like so many during the global COVID pandemic, in Huang’s kitchen.

Then, with a flourish, Huang’s kitchen — modeled down to the screws holding its cabinets together — slid away from sight as Huang strolled toward a virtual recreation of Endeavor’s gleaming lobby.

“One of our goals is to find a way to elevate our keynote events,” Margo says. “We’re always looking for those special moments when we can do something novel and fantastical, and that showcase NVIDIA’s latest technological innovations.”

It was the start of a visual journey that would take Huang from that lobby to Shannon’s, a gathering spot inside Endeavor, through a holodeck, and a data center with stops inside a real robotics lab and the exterior of Endeavor.

Virtual environments such as Huang’s kitchen were created by a team using familiar tools supported by Omniverse such as Autodesk Maya and 3ds Max, and Adobe Substance Painter.  

Omniverse served to connect them all in real-time — so each team member could see changes made by colleagues using different tools simultaneously, accelerating their work.

“That was critical,” Margo says.

The virtual and the real came together quickly once live filming began.

A small on-site video team recorded Huang’s speech in just four days, starting October 30, in a spare pair of conference rooms at NVIDIA’s Silicon Valley headquarters.

Omniverse allowed NVIDIA’s team to project the dynamic virtual environments their colleagues had created on a screen behind Huang.

As a result, the light spill onto Huang changed as the scene around him changed, better integrating him into the virtual environment.

And as Huang moved through the scene, or as the camera shifted, the environment changed around Huang.

“As the camera moves, the perspective and parallax of the world on the video wall responds accordingly,” Mago says.

And because Huang could see the environment projected on the screens around him, he was better able to navigate each scene.

At the Speed of Omniverse

All of this accelerated the work of NVIDIA’s production team, which had most of what they needed in-camera after each shot rather than adding elaborate digital sets in post-production.

As a result, the video team quickly created a presentation seamlessly blending a real CEO with virtual and real-world settings.

However, Omniverse was more than just a way to speed collaboration between creatives working with real and digital elements hustling to hit a deadline. It also served as the platform that knit the string of demos featured in the keynote together.

To help developers create intelligent, interactive agents with Omniverse that can see, speak, converse on a wide range of subjects and understand naturally spoken intent, Huang announced Omniverse Avatar.

Omniverse brings together a deep stack of technologies — from ray-tracing to recommender systems — that were mixed and matched throughout the keynote to drive a series of stunning demos.

In a demo that swiftly made headlines, Huang showed how “Project Tokkio” for Omniverse Avatar connects Metropolis computer vision, Riva speech AI, avatar animation and graphics into a real-time conversational AI robot — the Toy Jensen Omniverse Avatar.

The conversation between three of NVIDIA’s engineers and a tiny toy model of Huang was more than just a technological tour de force, demonstrating expert, natural Q&A.

It showed how photorealistic modeling of Toy Jensen and his environment — right down to the glint on Toy Jensen’s glasses as he moved his head — and NVIDIA’s Riva speech synthesis technology powered by the Megatron 530B large language model could support natural, fluid conversations.

To create the demo, NVIDIA’s creative team created the digital model in Maya Substance, and Omniverse did the rest.

“None of it was manual, you just load up the animation assets and talk to it,” he said.

Huang also showed a second demo of Project Tokkio, a customer-service avatar in a restaurant kiosk that was able to see, converse with and understand two customers.

Rather than relying on Megatron, however, this model relied on a model that integrated the restaurant’s menu, allowing the avatar to smoothly guide customers through their options.

That same technology stack can help humans talk to one another, too. Huang showed Project Maxine’s ability to add state-of-the-art video and audio features to virtual collaboration and video content creation applications.

A demo showed a woman speaking English on a video call in a noisy cafe, but she can be heard clearly without background noise. As she speaks, her words are transcribed and translated in real-time into French, German and Spanish.

Thanks to Omniverse, they’re spoken by an avatar able to engage in conversation with her same voice and intonation.

These demos were all possible because Omniverse, through Omniverse Avatar, unites advanced speed AI, computer vision, natural language understanding, recommendation engines, facial animation and graphics technologies.

Omniverse Avatar’s speech recognition is based on NVIDIA Riva, a software development kit that recognizes speech across multiple languages. Riva is also used to generate human-like speech responses using text-to-speech capabilities.

Omniverse Avatar’s natural language understanding is based on the Megatron 530B large language model that can recognize, understand and generate human language.

Megatron 530B is a pretrained model that can, with little or no additional training, complete sentences, answers questions involving a large domain of subjects. It can summarize long, complex stories, translate to other languages, and handle many domains that it is not trained specifically to do.

Omniverse Avatar’s recommendation engine is provided by NVIDIA Merlin, a framework that allows businesses to build deep learning recommender systems capable of handling large amounts of data to make smarter suggestions.

Its perception capabilities are enabled by NVIDIA Metropolis, a computer vision framework for video analytics.

And its avatar animation is powered by NVIDIA Video2Face and Audio2Face, 2D and 3D AI-driven facial animation and rendering technologies.

All of these technologies are composed into an application and processed in real-time using the NVIDIA Unified Compute Framework.

Packaged as scalable, customizable microservices, the skills can be securely deployed, managed and orchestrated across multiple locations by NVIDIA Fleet Command.

Using them, Huang was able to tell a sweeping story about how NVIDIA Omniverse is changing multitrillion-dollar industries.

All of these demos were built on Omniverse. And thanks to Omniverse, everything came together — a real CEO, real and virtual environments, and a string of demos made within Omniverse as well.

Since its launch late last year, Omniverse has been downloaded over 70,000 times by designers at 500 companies. Omniverse Enterprise is now available starting at $9,000 a year.

The post How Omniverse Wove a Real CEO — and His Toy Counterpart — Together With Stunning Demos at GTC  appeared first on The Official NVIDIA Blog.

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Living in the Future: NIO ET5 Sedan Designed for the Autonomous Era With NVIDIA DRIVE Orin

Meet the electric vehicle that’s truly future-proof.

Electric-automaker NIO took the wraps off its fifth mass-production model, the ET5, during NIO Day 2021 last week.

The mid-size sedan borrows from its luxury and performance predecessors for an intelligent vehicle that’s as agile as it is comfortable. Its AI features are powered by the NIO Adam supercomputer, built on four NVIDIA DRIVE Orin systems-on-a-chip (SoC).

In addition to centralized compute, the ET5 incorporates high-performance sensors into its sleek design, equipping it with the hardware necessary for advanced AI-assisted driving features.

The sedan also embodies the NIO concept of vehicles serving as a second living room, with a luxurious interior and immersive augmented reality digital cockpit.

These cutting-edge features are built to go the distance. The ET5 achieves more than 620 miles of range with the 150 kWh Ultralong Range Battery and a lightning-fast acceleration from zero to 60 mph in about four seconds.

A Truly Intelligent Creation

The ET5 and its older sibling, the ET7 full-size sedan, rely on a centralized, high-performance compute architecture to power AI features and continuously receive upgrades over the air.

The NIO Adam supercomputer is built on four DRIVE Orin SoCs, making it one of the most powerful platforms to run in a vehicle, achieving a total of more than 1,000 TOPS of performance.

Orin is the world’s highest-performance, most-advanced AV and robotics processor. It delivers up to 254 TOPS to handle the large number of applications and deep neural networks that run simultaneously in autonomous vehicles and robots while achieving systematic safety standards such as ISO 26262 ASIL-D.

Adam integrates the redundancy and diversity necessary for safe autonomous operation by using multiple SoCs.

The first two SoCs process the eight gigabytes of data produced by the vehicle’s sensor set every second.

The third Orin serves as a backup to ensure the system can operate safely in any situation.

While the fourth enables local training, improving the vehicle with fleet learning and personalizing the driving experience based on user preferences.

With high-performance computing at its core, Adam is a major achievement in the creation of automotive intelligence and autonomous driving.

Going Global

After beginning deliveries in Norway earlier this year, NIO will expand worldwide in 2022.

The ET7, the first vehicle built on the DRIVE Orin-powered Adam supercomputer, will become available in March, with the ET5 following in September.

Next year, NIO vehicles will begin deliveries in the Netherlands, Sweden and Denmark.

By 2025, NIO vehicles will be in 25 countries and regions worldwide, bringing one of the most advanced AI platforms to even more customers.

With the ET5, NIO is showing no signs of slowing as it charges into the future with sleek, intelligent EVs powered by NVIDIA DRIVE.

The post Living in the Future: NIO ET5 Sedan Designed for the Autonomous Era With NVIDIA DRIVE Orin appeared first on The Official NVIDIA Blog.

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Detect That Defect: Mariner Speeds Up Manufacturing Workflows With AI-Based Visual Inspection

Imagine picking out a brand new car — only to find a chip in the paint, rip in the seat fabric or mark in the glass.

AI can help prevent such moments of disappointment for manufacturers and potential buyers.

Mariner, an NVIDIA Metropolis partner based in Charlotte, North Carolina, offers an AI-enabled video analytics system to help manufacturers improve surface defect detection. For over 20 years, the company has worked to provide its customers with deep learning-based insights to optimize their manufacturing processes.

The vision AI platform, called Spyglass Visual Inspection, or SVI, helps manufacturers detect the defects they couldn’t see before. It’s built on the NVIDIA Metropolis intelligent video analytics framework and powered by NVIDIA GPUs.

SVI is installed in factories and used by customers like Sage Automotive Interiors to enhance their defect detection in cases where traditional, rules-based machine vision systems often pinpoint false positives.

Reducing Waste with AI

According to David Dewhirst, vice president of marketing at Mariner, up to 40 percent of annual revenue for automotive manufacturers is consumed by producing defective products.

Traditional machine vision systems installed in factories have difficulty discerning between true defects — like a stain in fabric or a chip in glass — and false positives, like lint or a water droplet that can be easily wiped away.

SVI, however, uses AI software and NVIDIA hardware connected to camera systems that provide real-time inspection of pieces on production lines, identify potential issues and determine whether they are true material defects — in just a millisecond.

This speeds up factory lines, removing the need to slow or stop the workflow to have a person inspect each potential defect. SVI results in a 20 percent increase in line speed and 30x reduction of incorrect defect classification over traditional machine vision systems.

The platform can be integrated with a factory’s existing machine vision system, giving it a boost with AI-based analysis and processing. It offers a factory an average annual savings of $2 million, Dewhirst said.

SVI uses a deep learning model that analyzes images, identifies a defect, and then labels the defects by type — which are all tasks that require powerful graphics processors.

“NVIDIA GPUs guarantee that SVI can handle almost any pixel combination and processing speed, which is why it was our choice of hardware on which to standardize our platform,” Dewhirst said.

Mariner is on track to revolutionize the defect detection process by expanding the use of its platform, which can identify defects in metal, plastic or virtually any other surface type.

Learn more about how the Spyglass system works:

The post Detect That Defect: Mariner Speeds Up Manufacturing Workflows With AI-Based Visual Inspection appeared first on The Official NVIDIA Blog.

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