This week, on Nvidia’s Q2 fiscal 2022 earnings call, Jensen Huang, Nvidia CEO, said that he is expecting some supply constraints for the majority of 2022. 

“I would expect that we will see a supply-constrained environment for the vast majority of next year is my guess at the moment,” said Huang according to a transcript of the call.  

While the company has committed itself to secure long-term supply commitments, but the demand still remains higher than the supply during the global chip shortage. 

However, there is a possibility that the company’s warnings of shortage might not be just as bad as they sound. As we’ve noticed that, in recent weeks, the company is managing to re-supply a range of its GPUs across both the US and Europe more frequently than the RTX 30-series last year. 

Recently, their AMD’s RX 6600 XT GPUs sold out at or under their recommended retail price with plenty of them still in stock. While we have still not reached the place where we can just go out and buy the GPU we want, but it sure feels like things are getting better than before. 

Nvidia still managed to hit a record revenue of $6.51 billion this quarter despite the shortages. They are up by a whopping 68% year over year. Out of the total revenue, gaming alone made up $3.06 billion which is a big jump of 85% over the year prior.  

Nvidia has today ships 80% of its gaming GPUs with its Lite Hash Rate for combating demand. With the gaming segment thriving, Nvidia’s Cryptocurrency Mining Processor (CMP) failed to hit its own predictions. It hit only $266 million in revenue, which is a little more than half compared to the company’s prediction of $400 million.  

Also Read: NVIDIA and Google Cloud to Create Industry’s First AI-on-5G Lab For Fast Development of AI

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The company has added three key technologies: the NVIDIA® A100 80GB PCIe GPU, NVIDIA NDR 400G InfiniBand networking, and NVIDIA Magnum IO GPUDirect Storage software to its HGX platform to accelerate the new era of industrial AI and HPC.   

Some companies using the NVIDIA HGX platform for next-generation systems and solutions are Atos, Hewlett Packard Enterprise (HPE), Dell Technologies, Lenovo, Microsoft Azure, and NetApp. 

Also Read: AI Based Drug Development Platform, Insilico Medicine Raised $255 million in Series C Financing 

Jensen Huang, founder, and CEO of NVIDIA “The HPC revolution started in academia and is rapidly extending across a broad range of industries. Key dynamics are driving super-exponential, super-Moore’s law advances that have made HPC a useful tool for industries.”  

“NVIDIA’s HGX platform gives researchers unparalleled high-performance computing acceleration to tackle the toughest problems of the industries face.”  

NVIDIA’s HGX platform is currently being used by high-tech industrial pioneer General Electric. They are applying HPC innovation to computational fluid dynamics simulations. This stimulation will guide the design innovation in large gas turbines and jet engines.   

“The HGX platform has achieved order-of-magnitude acceleration for breakthrough CFD methods in GE’s GENESIS code, which employs Large Eddy Simulations to study the effects of turbulent flows inside turbines that are composed of hundreds of individual blades and require uniquely complex geometry,” said NVIDIA.  

NVIDIA’s HGX platform is even accelerating scientific HPC systems around the world. The platform is also driving industrial HPC transformation. This includes the next next-generation supercomputer at the University of Edinburgh.  

Tursa, their new DiRAC supercomputer, is the third out of four supercomputers to be announced by the company. They will allow researchers to carry out ultra-high-precision calculations. As the properties of subatomic particles are needed to be interpreted from massive particle data for physics experiments.   

“DiRAC is helping researchers unlock the mysteries of the universe. Our collaboration with DiRAC will accelerate cutting-edge scientific exploration across a diverse range of workloads that take advantage of the unrivaled performance of NVIDIA GPUs, DPUs, and InfiniBand in-network computing acceleration engines,” said Gilad Shainer, senior vice president of networking at NVIDIA.

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The lab will enable players in network infrastructure and AI software to develop, test, and adopt new solutions to accelerate the creation of smart factories, cities, and other advanced AI and 5G applications.  

The new lab will give enterprises access to Google Cloud’s Anthos platform and NVIDIA accelerated computing platforms. This will let them harness data and AI to improve operational efficiency, drive business performance, and optimize safety and reliability.   

Also Read:  AI-Based Drug Development Platform, Insilico Medicine Raised $255 million in Series C Financing

Ronnie Vasishta, senior vice president of Telecom at NVIDIA, said “The global telecommunications industry is undergoing a sweeping transformation as the speed and low latency of 5G create unprecedented opportunities to deliver AI-on-5G at the enterprise edge. Our collaboration with Google Cloud will help network operators and infrastructure players conceive and create new profit centers built on AI and machine learning.”  

In April, NVIDIA announced that it is teaming up with Google Cloud, Fujitsu, Radisys, Mavenir, and Wind River to develop solutions for NVIDIA’s AI-on-5G platform.   

Now, Google Cloud is extending its Anthos application platform to allow telecommunications service providers to rapidly deliver new 5G services and applications.  

“Google Cloud, with our Anthos application platform, is enabling service providers and enterprises across many vertical markets to connect seamlessly over 5G at the network edge,” said Shailesh Shukla, vice president and general manager for Networking at Google Cloud.   

“We’re excited to extend our collaboration with NVIDIA to deliver a joint innovation lab that provides the infrastructure required for enterprises, communications service providers, and partners to develop, test and deploy their edge AI applications.”  

NVIDIA aims to provide a single, converged platform for handling both 5G and edge AI computing to its AI-on-5G provides enterprises, cloud service providers, and mobile network operators.   

The platform is powered by NVIDIA’s Aerial software development kit with the NVIDIA BlueField®-2 A100. The result is a high-performance 5G RAN and AI applications to manage automated guided vehicles, drones, and wireless cameras, precision manufacturing robots, self-checkout aisles, and other transformational projects.  

The company will make these solutions available for testing and validation in the AI-on-5G lab.  

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However, the company has only recently confirmed that with a new driver they have accidentally unlocked those restrictions.  

Nvidia spokesperson, in a statement, said “A developer driver inadvertently included code used for internal development which removes the hash rate limiter on RTX 3060 in some configurations. The driver has been removed.”  

Also Read: Nvidia Launches Cyberpunk 2077 NVIDIA DLSS with Immersive Graphics and Realistic Visuals

While the company has now successfully removed the driver, the damage is already done. The company’s latest 470.05 beta driver has automatically unlocked performance and boosts the hashing rates for Ethereum mining for most RTX 3060 cards.   

Mirrors can easily be very easily found online of the driver and the company will not be able to prevent RTX 3060 owners from continuing to use these drivers.  

Originally, the company has restricted the RTX 3060 mining performance to steer crypto miners away from purchasing the cards. Despite this, the makers of GPU were confident that its restrictions couldn’t be defeated. In fact, they even claimed that it wasn’t just a driver holding back performance.   

“It’s not just a driver thing,” said Bryan Del Rizzo, Nvidia’s head of communications. “There is a secure handshake between the driver, the RTX 3060 silicon, and the BIOS (firmware) that prevents removal of the hash rate limiter.”  

Nvidia was not intending to release a driver who would accidentally unlock its restrictions.  

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We have bought to your major highlights from the event on its day 4:

Samsung’s 110-inch MicroLED TV, Neo QLED TVs, and MicroLED sets

Samsung shared the first look and announced which will be coming later this year. Its MicroLED and Neo QLED promises gradations of luminance and more depth which comes with densely packed backlighting. The company also announced new features for its latest model of Samsung’s artsy The Frameset. Samsung’s Handy Bot is a robot butler, that can do all your work from loading your dishwasher to pouring a glass of wine.

Samsung also unveiled a soundbar lineup with AirPlay 2 for Apple devices and Dolby Atmos surround sound. Finally, Samsung has also slyly teased a peek at the Galaxy Note 21 in a promo video about their new recycling program.

LG Announced Rollable Phone

After its rollable TV, the company has released a teaser for the LG Rollable phone where the screen can expand and contract. And we could be seeing it as early as March.

The company also showed off a 55-inch Transparent OLED Smart Bed that rises to different heights depending on what you see.

Finally, the company announced LG’s own OLED “Evo” technology that will boost the brightness and color of OLED screens. Evo will have 55-, 65- and 77-inch screens in the Gallery G1 range.

Sony Unveiled new TV lineup

Sony unveiled its TV lineup for the year 2021. It included OLED displays, 8K sets, and 4K LED sets with acoustic multi-audio technology. Additionally, the company is transitioning its sets from Android TV to the Google TV platform to make them more competitive with LG.

Lenovo unveiled LaVie Mini

Lenovo unveiled LaVie Mini, the Nintendo Switch, with a small 8-inch display that can be easily paired with a keyboard or controller.

The company has also rolled out an all-in-one Yoga desktop, Lenovo Yoga AIO 7, and two new monitors. The yoga desktop has a 27-inch 4K rotating screen for portrait mode. It comes with AMD Ryzen 7 4800H CPU and an Nvidia GeForce RTX 2060 graphics card.

HP introduced the Dragonfly laptop line

HP has introduced new additions to its Elite Dragonfly laptop line, HP Elite Dragonfly Max and HP Elite Dragonfly G2. The first one has a 5MP webcam with 16GB of RAM and the other one has a 720p webcam with 8GB of RAM.

Both will boast an 11th-Gen Intel Core processor with 13.3-inch screens and up to 2TB in SSD storage.

The company has also introduced shared HP’s new Envy 14 and the latest HP Elite Folio. Pricing for both laptops will be announced later this month.

Other laptops announced in the event include Dell’s Alienware m15 and m17, the Alienware Aurora Ryzen Edition R11, Acer’s Chromebook Spin 514, Nitro 275 Hz gaming monitors, Acer Predator Helios 300, and Acer Aspire 7 and Aspire 5.

Nvidia Announced GeForce RTX 3060 Graphics Card

Nvidia has finally launched its most awaited GeForce RTX 3060 graphics card. It is a powerhouse for more than 70 laptops and has mobile versions of the 30-series GPUs. That added power means higher screen-refresh rates and more ray-tracing and DLSS support.

Intel, Panasonic, Asus, Dell, and LG Showcased their New Wares

In the press conference, Intel announced a wrap and its Rocket Lake 11th Gen Core H Series processors. The Core H Series chips promise speeds of 5GHz and gaming in 4K.

They have also announced its Rocket Lake-S chips for desktops with a promise of improved graphics performance of up to 50%.

Also Read: Nvidia Launches Cyberpunk 2077 NVIDIA DLSS with Immersive Graphics and Realistic Visuals

TV makers that showed off their products include Panasonic which introduced the JZ2000 flagship set. It comes with Dolby Atmos sound, HDR10+, dual Bluetooth connections, and an AI-driven CPU.

CES 2021 also saw the debut of monitors that includes the Asus ROG Strix XG43UQ, Dell’s 40-inch curved monitor, and LG’s UltraFine OLED Pro 32EP950.

JBL, Panasonic, Amazfit, Oneplus along with other Vendors Showed Off Smart wearables

JBL has announced Bar 5.0 MultiBeam which is only $400. On the other side, LG also announced six separate soundbars for an undisclosed price. Panasonic debuted with a Final Fantasy-themed Sound Slayer soundbar developed with FF studio Square Enix.

As wearables were a big part of CES 2021, Vuzix introduced smart glasses, Amazfit introduced Amazfit GTR 2e and Amazfit GTS 2e smartwatches, OnePlus introduced a fitness band, Honor introduced its Band 6, and Fossil announced the new Fossil Gen 5 LTE Touchscreen Smartwatch.

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So, the company wants to ensure an experience with its most immersive graphics and realistic visuals, by playing on a GeForce RTX system.   

Also Read: NVIDIA Says that They have Found New Way to Train AI 

The Cyberpunk 2077 will come with NVIDIA Deep Learning Super Sampling or DLSS to bring to us better video and image quality through realism, immersion, and ray-traced effects.  

Besides, the new Tensor Cores that the GeForce RTX GPUs have added will help games the frame rates accelerate better and faster. Users as a player will have able to better and smoother gameplay with high levels of detail and ray tracing settings.  

In the all-new Cyberpunk 2077, DLSS frame rates can be accelerated by more than 60% depending on settings, resolution, and system configuration.  

NVIDIA’s DLSS is a groundbreaking rendering technology that is powered by AI and takes visual fidelity to a whole new level. It also uses dedicated Tensor Core AI processors on GeForce RTX GPUs.   

To boost frame rates and generate sharp and beautiful images for games, DLSS taps into the power of a deep learning neural network. With this, users will even get the performance headroom to increase output resolution and maximize ray tracing settings.  

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Before understanding NVIDA’s work let’s understand a little about GAN. It consists of two competing neural networks i.e., a generator and a discriminator. The goal of the first algorithm is to create new images and the second is to examine thousands of sample images.  

Then it uses data to coach its counterpart and create believable results consistently. Traditional GANs tend to overfit and in such instances, the discriminator doesn’t have enough of a base to effectively coach the generator.      

In the past, one way AI researchers have tried to get around this problem is by data augmentation or using an image algorithm. In such a case, distorting is a simple reason which means cropping an image, rotating it, or flipping it. Here, the network users see the exact same image twice.  

The problem with this is, instead of creating something new, it would lead to a situation where the GAN would mimic those distortions.  

NVIDIA’s new adaptive discriminator augmentation (ADA) approach uses data augmentation but also uses it adaptively. For instance, instead of distorting an image throughout the entire training process selectively. It will be just enough so that the GAN avoids overfitting.    

NVIDIA’s approach is very meaningful than one might think as it can train an AI to write a new text-based adventure game. This is possible as there is very little material for the algorithm to work with.  

However, we can’t say the same for a lot of other tasks where researchers could not turn to GANs for help. For example, training an algorithm to spot a rare neurological brain disorder precisely because of its rarity.  

However, a GAN that has been trained with NVIDIA’s ADA approach can easily get around that problem. Researchers will be able to easily share their findings as an added bonus since they’re working from a base of images which is created by an AI.  

Starts on December 6th, the company will share more information about ADA at the upcoming NeurIPS conference.

The post NVIDIA Says that They have Found New Way to Train AI appeared first on Tech Research Online.

It uses the first frame in a video for a 2D photo and then uses unsupervised learning to gather 3D key points.  

Additionally, in tests, to outperforming other approaches they have used benchmark datasets achieves of H.264 quality video using one-tenth of the bandwidth. 

On Monday, Arun Mallya, Ting-Chun Wang, and Ming-Yu Liu, Nvidia Research Scientists published a paper about the model. In the results, they have shown that the latest AI model outperforms vid2vid, a few-shot GAN detailed at NeurIPS last year. 

Also Read: NVIDIA and Hyundai Announced That They Have Connected Car Platform To Roll-out From 2022 

“By modifying the keypoint transformation only, we are able to generate free-view videos. By transmitting just, the keypoint transformations, we can achieve much better compression ratios than existing methods,” the paper reads. “By dramatically reducing the bandwidth and ensuring a more immersive experience, we believe this is an important step toward the future of video conferencing.” 

In October, the release of the model followed the debut of Maxine which is Nvidia’s video conferencing service. Besides, Maxine will deliver subtle AI-powered features similar to Zoom’s research such as face alignment, noise reduction. and like a conversational AI avatar or live translation. 

Microsoft Teams and Zoom’s Video calls also use forms for multiple things such as to blur backgrounds and power augmented reality animation and effects.  

Today, Microsoft has introduced an update to the Teams calling experience. Also, a paper about the Nvidia AI releases a day before that could shake up the enterprise communications landscape and fuel the feud between Slack and Microsoft Teams. 

The post Nvidia Introduces New AI that Generating 2D Talking Heads During Video Conference appeared first on Tech Research Online.

They are rolling out their new platform across all new models from Hyundai, Genesis, and Kia, starting from 2022 onwards.  

“Nvidia brought consumer electronic functionality and a graphics-rich user interface to infotainment systems more than a decade ago,” said Ali Kani, VP of autonomous vehicles at Nvidia.   

“Now, we are once again transforming these systems through the power of AI, helping Hyundai Motor Group increase safety and value, along with enhancing customer satisfaction, throughout the lifetime of the vehicle.”   

The technical collaboration between the two companies, Hyundai and Nvidia, enables them to develop high-performance connected car computing systems for Hyundai next-generation models.   

In the future, all car models of Hyundai starting from entry-level to premium vehicles will feature in-vehicle infotainment (IVI) systems powered by Nvidia Drive.   

Nvidia Drive will include a software and a hardware stack which will enable Hyundai’s IVI systems to combine their navigation, audio and video, connectivity, and AI-based car services.  

Also, the Nvidia Drive platform is high-performance and energy-efficient meaning utilizing it for its future models will allow Hyundai to offer customers seamless and enhanced in-vehicle AI user experiences.   

In the future, the customers of Hyundai, Genesis, and Kia will benefit from a feature-rich AI user experience.  

The two companies have been working together since 2015 on this project. Nvidia Drive platform underpins the advanced IVI systems which can also be found in the Genesis GV80 and G80.   

Besides, the two companies have collaborated on an advanced digital cockpit which will be launched late in 2021. This announcement will take the relationship between the two further, as Hyundai lays the foundations for IVI systems that support a wide range of features and apps across its entire model line-up.  

Also Read: Daimler And Nvidia Sign A Deal To Develop Software-Based Vehicle OS

“At Hyundai Motor Group, we are committed to delivering greater value, safety, functionality, and enjoyment over the lifetime of the car,” said Paul Choo, senior VP of Electronics Tech Unit at Hyundai Motor Group.   

“The Nvidia Drive platform is proven – it is scalable, energy-efficient, and has the performance to support our next generation of software-defined vehicles.”

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