Earlier this year, Nvidia has warned that the shortage of great GPUs would last throughout 2021. But, now, they are expecting the supply issues to continue well into 2022.   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 …

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Today, NVIDIA announced that they are turbocharging their NVIDIA HGX™ AI supercomputing platform with new technologies. They are fusing AI with high-performance computing to make supercomputing more useful.   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 …

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Today, NVIDIA and Google Cloud have announced their new partnership. Their partnership aims to establish the industry’s first AI-on-5G Innovation Lab.   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 …

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Last month, Nvidia made a huge deal about them reducing the hash rate of Ethereum mining. They did this for their all-new RTX 3060 graphics cards which is a special system supposed to make the RTX 3060 undesirable for crypto miners.    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 …

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Day 4 of CES 2021 continues with new groundbreaking innovations. This year the summit is not in Las Vegas, but masses are tuning in from all over the world for the latest announcements. Some of the largest giants taking part are Samsung, Sony, LG, and other consumer-electronics manufacturers. 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 …

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Nvidia, an American multinational technology company incorporated in Delaware and based in California has launched Cyberpunk 2077 on December 10th, 2020. 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 …

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NVIDIA has developed a new approach for training generative adversarial networks (GAN). This new approach has the capacity to make AI suitable for a greater variety of tasks. 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 …

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Recently, Nvidia AI researchers have introduced a new type of AI which generates 2D talking heads during video conferences. The company’s research team says that they are capable of achieving a wide range of manipulation, from rotating or motion transfer and video reconstruction.  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.   …

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Nvidia, an American tech company based in Delaware, along with Hyundai Motor Group, a South Korean automotive manufacturer headquartered in Seoul, have together announced that they will soon roll-out “Nvidia Drive connected car platform”.    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 …

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