Posts in category: nVidia AI

Starting next week, Fortnite on GeForce NOW will launch in a limited-time closed beta for mobile, all streamed through the Safari web browser on iOS and the GeForce NOW Android app.

The beta is open for registration for all GeForce NOW members, and will help test our server capacity, graphics delivery and new touch controls performance. Members will be admitted to the beta in batches over the coming weeks.

‘Fortnite’ Streaming Gameplay Comes to Mobile Through iOS Safari and Android With Touch Inputs

Alongside the amazing team at Epic Games, we’ve been working to enable a touch-friendly version of Fortnite for mobile delivered through the cloud. While PC games in the GeForce NOW library are best experienced on mobile with a gamepad, the introduction of touch controls built by the GeForce NOW team offers more options for players, starting with Fortnite.

Beginning today, GeForce NOW members can sign up for a chance to join the Fortnite limited-time closed beta for mobile devices. Not an existing member? No worries. Register for a GeForce NOW membership and sign up to become eligible for the closed beta once the experience starts rolling out next week. Upgrade to a Priority or RTX 3080 membership to receive priority access to gaming servers. A paid GeForce NOW membership is not required to participate.

For tips on gameplay mechanics or a refresher on playing Fortnite with touch controls, check out Fortnite’s Getting Started page.

More Touch Games

And we’re just getting started. Cloud-to-mobile gaming is a great opportunity for publishers to get their games into more gamers’ hands with touch-friendly versions of their games. PC games or game engines, like Unreal Engine 4, which support Windows touch events can easily enable mobile touch support on GeForce NOW.

We’re working with additional publishers to add more touch-enabled games to GeForce NOW. And look forward to more publishers streaming full PC versions of their games to mobile devices with built-in touch support — reaching millions through the Android app and iOS Safari devices.

GFN Thursday Releases

GFN Thursday always means more games. Members can find these and more streaming on the cloud this week:

• The Anacrusis (New release on Steam and Epic Games Store, Jan. 13)
• Supraland Six Inches Under (New release on Steam, Jan. 14)
• Galactic Civilizations 3 (Free on Epic Games Store, Jan. 13 – 20)
• Ready or Not (Steam)

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.

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

Cutting down the time needed to sequence and analyze a patient’s whole genome from days to hours isn’t just about clinical efficiency — it can save lives.

By accelerating every step of this process — from collecting a blood sample to sequencing the whole genome to identifying variants linked to diseases — a research team led by Stanford University took just hours to find a pathogenic variant and make a definitive diagnosis in a three-month-old infant with a rare seizure-causing genetic disorder. A traditional gene panel analysis ordered at the same time took two weeks to return results.

This ultra-rapid sequencing method, detailed today in the New England Journal of Medicine, helped clinicians manage the epilepsy case by providing insight about the infant’s seizure types and treatment response to anti-seizure medications.

The method set the first Guinness World Record for fastest DNA sequencing technique: five hours and 2 minutes. It was developed by researchers from Stanford University, NVIDIA, Oxford Nanopore Technologies, Google, Baylor College of Medicine and the University of California at Santa Cruz.

The researchers accelerated both base calling and variant calling using NVIDIA GPUs on Google Cloud. Variant calling, the process of identifying the millions of variants in a genome, was also sped up with NVIDIA Clara Parabricks, a computational genomics application framework.

Euan Ashley, MB ChB, DPhil, the paper’s corresponding author and a professor of medicine, of genetics and of biomedical data science at Stanford University School of Medicine, will be speaking at NVIDIA GTC, which runs online March 21-24.

Racing Against Time, Making Clinical Impact

Identifying genetic variants associated with a specific disease is a classic needle-in-the-haystack problem, often requiring researchers to comb through a person’s genome of 3 billion base pairs to find a single change that causes the disease.

It’s a lengthy process: A typical whole human genome sequencing diagnostic test takes six to eight weeks. Even rapid turnaround tests take two or three days. In many cases, this can be too slow to make a difference in treatment of a critically ill patient.

By optimizing the diagnosis pipeline to take only 7-10 hours, clinicians can more quickly identify genetic clues that inform patient care plans. In this pilot project, genomes were sequenced for a dozen patients, most of them children, at Stanford Health Care and Lucile Packard Children’s Hospital Stanford.

In five of the cases, the team found diagnostic variants that were reviewed by physicians and used to inform clinical decisions including heart transplant and drug prescription.

“Genomic information can provide rich insights and enable a clearer picture to be built,” said Gordon Sanghera, CEO of Oxford Nanopore Technologies. “A workflow which could deliver this information in near real time has the potential to provide meaningful benefits in a variety of settings in which rapid access to information is critical.”

AI Calls It: Identifying Variants with Clara Parabricks

The researchers found ways to optimize every step of the pipeline, including speeding up sample preparation and using nanopore sequencing on Oxford Nanopore’s PromethION Flow Cells to generate more than 100 gigabases of data per hour.

This sequencing data was sent to NVIDIA Tensor Core GPUs in a Google Cloud computing environment for base calling — the process of turning raw signals from the device into a string of A, T, G and C nucleotides —  and alignment in near real time. Distributing the data across cloud GPU instances helped minimize latency.

Next, the scientists had to find tiny variations within the DNA sequence that could cause a genetic disorder. Known as variant calling, this stage was sped up with Clara Parabricks using a GPU-accelerated version of PEPPER-Margin-DeepVariant, a pipeline developed in a collaboration between Google and UC Santa Cruz’s Computational Genomics Laboratory.

DeepVariant uses convolutional neural networks for highly accurate variant calling. The GPU-accelerated DeepVariant Germline Pipeline software in Clara Parabricks provides results at 10x the speed of native DeepVariant instances, decreasing the time to identify disease-causing variants.

“Together with our collaborators and some of the world’s leaders in genomics, we were able to develop a rapid sequencing analysis workflow that has already shown tangible clinical benefits,” said NVIDIA’s Mehrzad Samadi, who co-led the creation of Parabricks and co-authored the New England Journal of Medicine article. “These are the kinds of high-impact problems we live to solve.”

Read the full publication in the New England Journal of Medicine and get started with a 90-day trial of NVIDIA Clara Parabricks, which can help analyze a whole human genome in under 30 minutes.

Subscribe to NVIDIA healthcare news here. 

SHIELD Software Experience Upgrade 9.0 is rolling out to all NVIDIA SHIELD TVs, delivering the Android 11 operating system and more.

An updated Gboard — the Google Keyboard — allows people to use their voices and the Google Assistant to discover content in all search boxes.

Additional permissions let users customize privacy across apps, including a new “only this time” option to grant temporary, one-time permissions.

SHIELD also adds support for aptX-compatible Bluetooth headsets. This, in addition to existing support for LDAC headsets, gives customers more options for higher quality listening options.

Browse the release notes for a complete list of upgrades and look for the upgrade notification, which will hit SHIELD TV homescreens starting today.

Stream On

Exciting new app releases and updates bring new and improved content to SHIELD TV-powered home theaters.

Google Play Movies & TV adds stunning Dolby Vision HDR for unparalleled cinematic experiences on SHIELD TV.

SHIELD owners can connect digital movie catalogs from Amazon, Apple TV and VUDU using Movies Anywhere and watch from a single place on Google Play Movies & TV.

Stream limitless entertainment from popular apps like IMDb TV and Apple TV on SHIELD TV, at up to 4K HDR.

IMDb TV delivers thousands of movies, binge-worthy TV shows and IMDb Originals like Leverage: Redemption and Alex Rider. Best of all, they’re always free.

With Apple TV, stream a robust library of Apple Originals in 4K Dolby Vision and Dolby Atmos. Buy or rent over 100,000 movies and shows — including Ted Lasso and The Morning Show — from the largest selection of 4K HDR titles.

Browse the Google Play Store app for the latest updates from Disney+, Paramount+, YouTube TV and Peloton for thousands of live and on-demand workouts.

The Next Generation of GeForce NOW

Gamers around the globe are upgrading their SHIELD TVs into a powerful GeForce RTX 3080-class gaming rig, unlocking extraordinary 4K HDR graphics exclusively on SHIELD, as well as immersive 7.1 surround sound, with the new GeForce NOW RTX 3080 membership.

GeForce NOW Founders members are eligible for an exclusive discount on the RTX 3080 membership. They can retain their Founders benefits — including “Founders for Life” pricing — if they decide to revert back to their original membership. Find more information and sign up at geforcenow.com.

The SHIELD update provides all GeForce NOW members with new benefits. Twitch has been updated to enable simultaneous gaming and streaming in high quality. Support for additional Bluetooth keyboards and mice has been added as well.

SHIELD TV pairs with Xbox One and Series X, Sony PlayStation DualSense and DualShock, and Scuf controllers, allowing for a bring-your-own-controller cloud gaming experience on GeForce NOW.

Bonus Streaming

Google is offering new, U.S.-based SHIELD TV owners six months of Peacock Premium at no additional cost. Unlock everything Premium has to offer. Watch movies and shows like The Office and Parks and Recreation, exclusive originals such as Yellowstone and AP Bio, and live sports including WWE and English Premier League soccer.

To redeem this offer, new SHIELD owners must set up a new Google account or log into a preexisting one, subscribe through the Peacock Premium banner on the For You or Apps tab, and provide a valid form of payment.

It’s an exciting time for SHIELD owners. What are you looking forward to most? Let us know in the comments or on Twitter.

NVIDIA is America’s best place to work, according to Glassdoor’s just-issued list of best employers for 2022.

Amid a global pandemic that has affected every workplace, NVIDIA was ranked No. 1 on Glassdoor’s 14th annual Best Places to Work list for large US companies. The award is based on anonymous employee feedback covering thousands of companies.

Other companies ranked highly by current and former employees include tech companies Google and Salesforce, and fitness wear retailer Lululemon. NVIDIA ranked second on the list last year.

Half of the top ten large US company winners are tech firms and 40 percent of the entire list of top 100 employers are tech companies.

“The world of work is rapidly evolving, fueled by the pandemic and now millions of workers re-evaluating their expectations from employers,” Glassdoor CEO Christian Sutherland-Wong said. “This year’s Best Places to Work winners are leading the way by listening and responding to employee feedback and reimagining the employee experience to truly put their people first.”

NVIDIA employees consistently give the company high marks on Glassdoor’s survey.

95 percent would recommend NVIDIA to a friend. The same proportion say the company has a positive business outlook. And 98 percent approve of the CEO, Jensen Huang.

“NVIDIA’s a place where folks who love working hard and enjoy tough challenges will feel at home,” one anonymous employee wrote on the site, which gets 67 million views each month.

“Leaders walk the talk with culture and values,” another wrote. “Everyone is genuinely helpful to train and ramp new employees, decision making is fast, title and hierarchy is never in the way of doing what is right.”

“The best workplace I have witnessed to date,” another noted.

The reviews from current and former employees capture an authentic look at companies.

When sharing a company review on Glassdoor, employees are encouraged to rate their satisfaction with the company overall and key workplace factors such as career opportunities, compensation and benefits, culture and values, diversity and inclusion, senior management, and work-life balance.

In addition, employees are asked to describe the best reasons to work at their companies and any downsides.

Glassdoor’s Best Places to Work were determined using company reviews from U.S.-based employees from Oct. 20, 2020, to Oct. 18, 2021.

Want to leave a review of your own? First, you’ll need to join our team. Check out our careers hub at https://www.nvidia.com/en-us/about-nvidia/careers/.

For the complete list of the Glassdoor Best Places to Work winners, visit https://www.glassdoor.com/Award/Best-Places-to-Work-LST_KQ0,19.htm

Bright Computing, a leader in software for managing high performance computing systems used by more than 700 organizations worldwide, is now part of NVIDIA.

Companies in healthcare, financial services, manufacturing and other markets use its tool to set up and run HPC clusters, groups of servers linked by high-speed networks into a single unit. Its product, Bright Cluster Manager, becomes the latest addition to NVIDIA’s software stack for accelerated computing.

Bright Computing, founded in 2009 and headquartered in Amsterdam, has customers that include household names such as Boeing, NASA, Tesla, Johns Hopkins University and Siemens.

We’ve been working with Bright for more than a decade as they integrated their software with our GPUs, networking, CUDA and most recently DGX systems.

Now we see an opportunity to combine our system software capabilities to make HPC data centers easier to buy, build and operate, creating a much larger future for HPC.

NVIDIA’s partners will take Bright’s software to more markets. And Bright’s software and expertise will enhance our growing NVIDIA DGX and data center businesses.

Bright’s flexible software can run at the edge, in the data center and across multiple public or hybrid clouds. It automates administration for clusters whether they’re made up of a handful or hundreds of thousands of servers. And it supports Arm and x86 CPUs, NVIDIA GPUs and Kubernetes containers.

We welcome Bright’s employees into NVIDIA. Together, we’ll continue to support Bright’s customers and invest in its product roadmap to grow the business.

“NVIDIA is changing the world as we know it, and we couldn’t be more excited for our team and software to play a part in that,” said Bill Wagner, CEO of Bright Computing.

Ready for the Industrial HPC Era

The combination of HPC, accelerated computing and AI has spawned what NVIDIA CEO Jensen Huang calls “an industrial HPC era.”

Clusters are at the heart of HPC’s scale-out style of computing, born in supercomputing centers and increasingly going mainstream to support AI.

Companies and developers in every field are adopting HPC systems to build physically accurate 3D simulations and digital twins for work as diverse as drug discovery, product design and factory automation — many of them using NVIDIA Omniverse.

Bolstered by Bright Computing’s team and software, NVIDIA will continue to democratize access to HPC and accelerated computing.

To make the best portfolio decisions, banks need to accurately calculate values of their trades, while factoring in uncertain external risks. This requires high-performance computing power to run complex derivatives models — which find fair prices for financial contracts — as close to real time as possible.

“You don’t want to trade today on yesterday’s data. You want to have up-to-the-moment portfolio values under many possible scenarios,” said Ryan Ferguson, CEO of Riskfuel, a Toronto-based startup that has built an AI-based accelerator technology for valuation and risk workloads.

Ferguson used to run securitization and credit derivatives for Scotiabank Global Banking and Markets. He noticed this industry-wide challenge and shifted his career to help address it, founding Riskfuel in 2019.

The company trains and develops its AI models using NVIDIA DGX systems, NVIDIA GPUs and the NVIDIA CUDA parallel computing platform.

Riskfuel is also a member of NVIDIA Inception, which is a free program for cutting-edge startups. The program provides access to training credits from the NVIDIA Deep Learning Institute, technology assistance, awareness support and opportunities to connect with investors. As a community member,

Speeding Up Sluggish Models

Riskfuel’s first customer happened to be Ferguson’s old employer, Scotiabank. When that work garnered the bank an industry award, the market noticed.

The company then partnered with Bank of Montreal (BMO), which was looking to improve the performance of its CPU-based structured notes models.

BMO employed industry-standard Monte Carlo simulations to process pricing requests, each of which could take several minutes to run on a single CPU core. But that’s too sluggish for the massive quantity of simulations required and the number of deals being run through many risk scenarios every day.

A pilot project showed that versions of BMO models accelerated by Riskfuel and deployed on NVIDIA DGX systems dramatically improved performance. Ultimately, it lets the bank expand its client base, drive higher trade flows, generate new risk insights and lead to better product design and selection.

According to Lucas Caliri, managing director and head of Cross Asset Solutions at BMO, “The partnership with Riskfuel and NVIDIA is enabling us to assist our clients to handle more complex hedging strategies and — with accelerated pricing and analysis — make faster, smarter investment decisions.”

Building a GPU-Powered ‘Rocket’

Riskfuel built its model by training it on 650 million data points, using NVIDIA DGX A100, which Ferguson calls an “AI workhorse.”

The startup works with banks’ code by using their CPU models to create training datasets for neural nets, which run on GPUs using PyTorch, TensorFlow or any other AI library. Then, it delivers its product as packaged neural nets, allowing customers to choose whether to run inference on NVIDIA A100, A30 or other NVIDIA Tensor Core GPUs.

Once the Riskfuel model is in, banks notice a huge speedup, while maintaining the same API for model access.

“We take their car into the garage, rip the engine out and put a rocket in,” said Ferguson. “It looks like the same car, but on the inside, it produces the results way faster.”

Riskfuel’s model sacrifices nothing in the way of accuracy — even with all that speed — no matter how far a bank might push it. Ferguson said that banks no longer have to trade speed for accuracy, or vice versa.

“Historically, there’s basically been a toggle that says faster or more accurate,” Ferguson said. “With Riskfuel, you can get fast and accurate.”

Just the Beginning

Looking forward, Riskfuel hopes to provide solutions for more areas in which banks can’t process scenarios fast enough. For example, previously, banks had to choose which risk scenarios to run, but that limitation is being removed.

“Now that their derivatives portfolio models can run in seconds, banks need real-time data and faster risk scenario generation,” said Ivan Sergienko, chief product officer at Riskfuel. “These are potential growth areas for us.”

Learn more about NVIDIA offerings for the financial services industry.

WFH was likely one the most-used acronyms of the past year, with more businesses looking to enhance their employees’ remote experiences than ever.

Creative production studio Taylor James found a cloud-based solution to maintain efficiency and productivity — even while working remotely — with NVIDIA RTX Virtual Workstations on AWS.

With locations in New York, Los Angeles, London and Mexico, Taylor James creates stunning content for projects like interactive experiences, product commercials for automotive clients and visuals for healthcare campaigns.

Previously, the IT team at Taylor James faced the challenge of supporting an inconsistent desktop environment, where some users had more powerful machines and capabilities than others.

The studio also wanted to upgrade its infrastructure of on-premises hardware, which consisted of render farms and storage servers with lengthy service contracts and minimal opportunity for cost efficiencies.

Adopting NVIDIA RTX Virtual Workstations on AWS, Taylor James migrated all of its production operations to the cloud, providing all of its artists with powerful virtual machines accessible from anywhere.

This allowed the studio to better equip its creative teams to do their best work, while expanding their workforce by attracting top candidates who could work from anywhere — without the constraints of in-office desktop equipment.

“With NVIDIA RTX Virtual Workstations on AWS, we have access to the latest technology all the time,” said Mark Knowles, general manager of Creative Production at Taylor James. “This provides us with the ultimate flexibility and scalability.”

Enhancing Content Creation From the Cloud

Taylor James’s digital artists require access to graphics and compute-intensive applications for rendering and creative production, such as Autodesk Maya, Arnold, 3ds Max and Foundry Nuke, many of which are now accelerated by NVIDIA RTX technology.

These artists also use real-time rendering with apps like Maxon Cinema 4D and Redshift, and produce high-resolution automotive rendering for online car configurators with Unreal Engine and Chaos V-Ray.

Taylor James relied on NVIDIA GPU-accelerated physical workstations in the onsite environment, so when it came time to move to AWS, the firm selected virtual workstation instances accelerated by NVIDIA RTX technology.

NVIDIA RTX Virtual Workstations come with all the benefits of RTX technology, including real-time ray tracing, AI, rasterization and simulation.

With NVIDIA RTX, artists realize the dream of real-time cinematic-quality rendering of photorealistic environments with perfectly accurate shadows, reflections and refractions, so that they can create amazing content faster than ever.

“Our designers and artists are masters at creating the most compelling, powerful storytelling that breaks the boundaries of visual production and provides transformative experiences to our audience,” Knowles said. “We require the most powerful accelerated virtual workstation technology, which can only be provided by NVIDIA.”

NVIDIA RTX also brings the power of AI to visual computing, which dramatically accelerates creativity by automating repetitive tasks, enabling all-new creative assistants and optimizing compute-intensive processes.

Artists also get immediate access to additional resources — like augmented and virtual reality tools with NVIDIA CloudXR, as well as IT support to spin up new virtual workstations tailored to specific tasks in a matter of minutes.

Learn more about NVIDIA RTX Virtual Workstations, and explore how NVIDIA is helping professionals tackle the most complex computing challenges.

Bill Kish founded Ruckus Wireless two decades ago to make Wi-Fi networking easier. Now, he’s doing the same for computer vision in industrial AI.

In 2015, Kish started Cogniac, a company that offers a self-service computer vision platform and development support.

Like in the early days of Wi-Fi deployment, the rollout of AI is challenging, he said. Cogniac’s answer is to offer companies a fast track to building datasets on their own for models by scanning parts and equipment, using its no-code AI platform.

No-code AI platforms enable people to work with visual tools and user interfaces — for labeling data, for example — to help develop applications without any programming skill required.

It’s a strategy that’s working. Cogniac customers include Ford, freight giant BNSF Railway and tractor maker Doosan Bobcat. The startup turbocharges these businesses with NVIDIA GPUs for all training and inference.

Cogniac, based in Silicon Valley, recently landed a $20 million Series B investment. The company is an NVIDIA Metropolis partner and a member of NVIDIA Inception, a program that offers go-to-market support, expertise and technology for AI, data science and HPC startups. NVIDIA Metropolis is an application framework that makes it easier for developers to combine video cameras and sensors with AI-enabled video analytics.

BNSF Spots Railroad Damages

North America’s largest freight railway network, BNSF Railway has more than 32,000 miles of track in 28 U.S. states and more than 8,000 locomotives, a massive challenge for keeping up with inspections. BNSF relies on Cogniac to build models for inspections of train tracks, train wheels and other parts.

Cogniac enables BNSF to use mobile devices to gather images of defects that can be automatically fed into models. BNSF has about 200 convolutional neural networks in production and several times that under development with Cogniac, said Kish. They’re helping the railway look for missing cotter pins and bolts on cars, tankers that have been left open and hundreds of other safety-related inspections.

Using GPUs onboard trains, Cogniac’s AI enables ongoing inspections of railways to detect broken rails. It also helps prioritize maintenance. Previously, inspections required closing down tracks for about a day to scrutinize sections of it, he said.

“It’s a huge win for the railways to be able to inspect their assets as a part of their ongoing operations,” said Kish.

Ford Detects Sheet Metal Defects

Ford relies on Cogniac for real-time inspections of sheet metal used in F-150 trucks, the best-selling vehicle in North America. Body panels and inner door panels are made of stamped aluminum sheet metal that is pressed into different shapes using a stamping tool.

But those stamped panels can sometimes have defects such as small splits that need to be detected before installation into vehicles.

“Our edge computing is processing gigapixels using dozens of cameras to capture the contours of the surfaces, enabled by NVIDIA GPUs,” said Kish.

Doosan Bobcat Bulldozes Errors

Doosan Bobcat, a Korean maker of compact tractors, was having a lot of missing parts in the build kits it sent out for tractor orders.Those parts kits are built in Minnesota and then sent to North Dakota for assembly. Missing parts were a big problem that stalled output.

But now the tractor giant is aided by Cogniac’s vision pipelines to monitor parts kits the company puts together for building different configurations of its Bobcat tractors.

Before Cogniac, one-third of the kits that Doosan Bobcat put together for building tractors were incomplete or incorrect. Since implementing Cogniac, kit errors are now one out of 20,000, according to Doosan Bobcat.

“Chances are that there are going to be parts that are missing or wrong,” said Kish. “It’s money that’s not going out the door.”

GeForce NOW is charging into the new year at full force.

This GFN Thursday comes with the news that Genshin Impact, the popular open-world action role-playing game, will be coming to the cloud this year, arriving in a limited beta.

Plus, this year’s CES announcements were packed with news for GeForce NOW. Battlefield 4: Premium Edition and Battlefield V: Definitive Edition join the exhilarating collection of Electronic Arts titles streaming from the cloud. Plus, a GeForce NOW promotion is available for AT&T 5G customers, and GeForce NOW will be streaming on Samsung TVs later this year.

And, as always, for the first GFN Thursday of the month, we’ve got the list of new games joining the GeForce NOW library. In January, eight titles are joining the cloud, with two ready to start streaming this week.

Genshin Impact Coming to GeForce NOW

Get ready for an epic fantasy adventure, Traveler. Genshin Impact is coming to GeForce NOW in a limited beta for GeForce NOW users on Windows PCs. To learn if you have access to the beta, members with a miHoYo account can search for Genshin Impact in the GeForce NOW Windows app to see if the beta is available.

You are a traveler from another world, stranded in the mysterious and fantastic land of Teyvat. Embark on a journey to reunite with your lost sibling and explore the seven districts, each presided over by seven elemental gods known as the Archons.

Manipulate and master the various elements to defeat enemies and solve challenging puzzles. Meet the inhabitants of Teyvat and build up your party from over 40 playable characters — with more to come — each with unique abilities, stories, personalities and combat styles.

Experience an immersive campaign, charge head-on into battles solo or invite friends to join your adventures in a vast magical world.

ICYMI: GeForce NOW Announcements From CES

Members can now play Battlefield 4: Premium Edition to embrace unrivaled destruction and experience the ultimate war in Battlefield V: Definitive Edition, streaming from the cloud.

These new additions will join the existing EA catalog available to GeForce NOW members, which includes the massively popular, high-speed hero shooter Apex Legends, already streamed by more than 1 million members.

For the mobile gamer, AT&T and NVIDIA have joined forces as collaborators in 5G technical innovation to deliver one of the world’s best gaming experiences. To celebrate, a special promotion for certain AT&T 5G subscribers is ongoing.

Going from the small screen to the big screen, look for GeForce NOW to arrive on select Samsung TVs later this year.

Our CES blog has more information on these announcements.

Joining in January

A new month (and a whole new year) means a new batch of games. 2022 kicks off with eight new titles coming throughout January.

Coming to GeForce NOW on January 20th is Tom Clancy’s Rainbow Six Extraction. Join millions of players in the Rainbow Six universe. Go it alone or in a squad of three in thrilling co-op gameplay. Pick from 18 unique Operators and enter the containment zone to take on the ever-evolving, lethal alien threat known as the Archaens.

Gear up for two games arriving this week:

• Battlefield 4: Premium Edition (Steam and Origin)
• Battlefield V: Definitive Edition (Steam and Origin)

Also coming in January:

• The Anacrusis (New release on Steam, Jan. 13)
• Tom Clancy’s Rainbow Six Extraction (New release on Ubisoft Connect, Jan. 20)
• Mortal Online 2 (Early access on Steam)
• Ready or Not (Early access on Steam)
• Fly Corp (Steam)
• Garfield Kart – Furious Racing (Steam)

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.

More From December

On top of the games announced in December, some extra games made it to the cloud last month — including some of Epic Games Store’s 15 days of free games promotion. Check out these additions:

• Anno 1404 History Edition (Ubisoft Connect)
• The Crackpet Show (Steam)
• Inscryption (Steam and Epic Games Store)
• Moving Out (Epic Games Store)
• NARAKA: BLADEPOINT (Epic Games Store)
• One Hand Clapping (Steam and Epic Games Store)
• Prison Architect (Epic Games Store)
• Salt and Sanctuary (Epic Games Store)
• Second Extinction (Epic Games Store)

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

Autonomous vehicles are born in the data center, which is why NVIDIA and Deloitte are delivering a strong foundation for developers to deploy robust self-driving technology.

At CES this week, the companies detailed their collaboration, which is aimed at easing the biggest pain points in AV development. Deloitte, a leading global consulting firm, is pairing with NVIDIA to offer a range of services for data generation, collection, ingestion, curation, labeling and deep neural network (DNN) training with NVIDIA DGX SuperPOD.

Building AVs requires massive amounts of data. A fleet of 50 test vehicles driving six hours a day generates 1.6 petabytes daily — if all that data were stored on standard 1GB flash drives, they’d cover more than 100 football fields. Yet that isn’t enough.

On top of this collected data, AV training and validation requires data from rare and dangerous scenarios that the vehicle may encounter, but could be difficult to come across in standard data gathering. That’s where simulated data comes in.

NVIDIA DGX systems and advanced training tools enable streamlined, large-scale DNN training and optimization. Using the power of GPUs and AI, developers can seamlessly collect and curate data to comprehensively train DNNs for autonomous vehicle perception, planning, driving and more.

Developers can also train and test these DNNs in simulation with NVIDIA DRIVE Sim, a physically accurate, cloud-based simulation platform. It taps into NVIDIA’s core technologies — including NVIDIA RTX, Omniverse and AI — to deliver a wide range of real-world scenarios for AV development and validation.

DRIVE Sim can generate high-fidelity synthetic data with ground truth using NVIDIA Omniverse Replicator to train the vehicle’s perception systems or test the decision-making processes.

It can also be connected to the AV stack in software-in-the-loop or hardware-in-the-loop configurations to validate the complete integrated system.

“The robust AI infrastructure provided by NVIDIA DGX SuperPOD is paving the way for our clients to develop transformative autonomous driving solutions for safer and more efficient transportation,” said Ashok Divakaran, Connected and Autonomous Vehicle Lead at Deloitte.

A Growing Partnership

Deloitte is at the forefront of AI innovation, services and research, including AV development.

In March, it announced the launch of the Deloitte Center for AI Computing, a first-of-its-kind center designed to accelerate the development of innovative AI solutions for its clients.

The center is built on NVIDIA DGX A100 systems to bring together the supercomputing architecture and expertise that Deloitte clients require as they become AI-fueled organizations.

This collaboration now extends to AV development, using robust AI infrastructure to architect solutions for truly intelligent transportation.

NVIDIA DGX POD is the foundation, providing an AI compute infrastructure based on a scalable, tested reference architecture featuring up to eight DGX A100 systems, NVIDIA networking and high-performance storage.

To further scale AV development and speed time to results, customers can choose the NVIDIA DGX SuperPOD, which includes 20 or more DGX systems plus networking and storage.

With Deloitte’s long-standing work with the automotive industry and investment in AI innovation, combined with the unprecedented compute of NVIDIA DGX systems, developers will have access to the best AV training solutions for truly revolutionary products.

Deloitte’s leadership in AI is paired with a broad and deep set of technical capabilities and services. Among its ranks are more than 5,500 systems integration developers, 2,000 data scientists and 4,500 cybersecurity practitioners. In 2020, Deloitte was named the global leader in worldwide system integration services by the International Data Corporation.

Deloitte also has deep experience with the automotive industry, serving three-quarters of the Fortune 1000 automotive companies.

Streamlined Solutions

With combined experience and cutting-edge technology, NVIDIA and Deloitte are offering robust data center solutions for AV developers, encompassing infrastructure, data management, machine learning operations and synthetic data generation.

These services begin with Infrastructure-as-a-Service, which provides management of the DGX SuperPOD infrastructure in an on-prem or co-location environment. Experts design and set up this AI infrastructure, as well as provide ongoing infra operations, for streamlined and efficient AV development.

With Data-Management-as-a-Service, developers can use tools for data ingestion and curation, enabling scale and automation for DNN training.

NVIDIA and Deloitte can also improve data scientist productivity up to 30 percent with MLOps-as-a-Service. This turnkey solution deploys and supports enterprise-grade MLOps software to train DNNs and accelerate accuracy.

Finally, NVIDIA and Deloitte make it possible to curate specific scenarios for comprehensive DNN training with Synthetic Data Generation-as-a-Service. Developers can take advantage of simulation expertise to generate high-fidelity training data to cover the rare and hazardous situations AVs must be able to handle safely.

Equipped with these invaluable tools, AV developers now have the capability to ease some of the largest bottlenecks in DNN training to deliver safer, more efficient transportation.