NVIDIA today announced NVIDIA Omniverse Avatar, a technology platform for generating interactive AI avatars. Omniverse Avatar connects the company's technologies in speech AI, computer vision, natural language understanding, recommendation engines and simulation technologies. Avatars created in the platform are interactive characters with ray-traced 3D graphics that can see, speak, converse on a wide range of subjects, and understand naturally spoken intent.

Omniverse Avatar opens the door to the creation of AI assistants that are easily customizable for virtually any industry. These could help with the billions of daily customer service interactions—restaurant orders, banking transactions, making personal appointments and reservations, and more—leading to greater business opportunities and improved customer satisfaction. "The dawn of intelligent virtual assistants has arrived," said Jensen Huang, founder and CEO of NVIDIA. "Omniverse Avatar combines NVIDIA's foundational graphics, simulation and AI technologies to make some of the most complex real-time applications ever created. The use cases of collaborative robots and virtual assistants are incredible and far reaching."

NVIDIA today announced that it will host a global, virtual GTC from Nov. 8-11, featuring a news-filled keynote by NVIDIA founder and CEO Jensen Huang and talks from some of the world's preeminent AI research and industry leaders. Huang's keynote will be livestreamed on Nov. 9 at 9 a.m. Central European Time/4 p.m. China Standard Time/12 a.m. Pacific Daylight Time, with a rebroadcast at 8 a.m. PDT for viewers in the Americas. Registration is free and is not required to view the keynote.

More than 200,000 developers, innovators, researchers and creators are expected to register for the event, which will focus on deep learning, data science, high performance computing, robotics, data center/networking and graphics. Speakers share the latest breakthroughs that are transforming some of the world's largest industries, such as healthcare, transportation, manufacturing, retail and finance.

NVIDIA CEO Jensen Huang has been selected as one of only seven individuals to receive their own cover for the upcoming print edition of the TIME 100 Most Influential People of 2021. The Taiwanese-American earned a master's degree in electrical engineering from Stanford University in 1992 before co-founding NVIDIA in 1993 where he now holds the role of CEO. He has been described as one of the most technically savvy CEOs by Andrew Ng who is a founder of DeepLearning.AI and has written about Jensen for Time.

When Jensen directed NVIDIA to focus on GPU development in 2003 there was considerable skepticism however the gamble has paid off with the company holding a market-leading position and recording profits in the billions. This latest award will add to the numerous already received by him including the Robert N. Noyce Award from the Semiconductor Industry Association and an honorary doctorate from the National Taiwan University. The special 2021 print edition of TIME 100 Most Influential People will be available to purchase from September 17th.

In his Q2-FY2022 Results call, NVIDIA CEO Jensen Huang commented that he expects the ongoing chip supply situation to remain bad for the most part of 2022. "Meanwhile, we have and are securing pretty significant long-term supply commitments as we expand into all these different markets initiatives that we've set ourselves up for. And I so I think—I would expect that we will see a supply contained environment for the vast majority of next year is my guess at the moment," he said.

His comments are telling, as NVIDIA relies heavily on cutting edge silicon fabrication nodes for its logic products, such as GPUs, HPC processors, and vehicle SoCs. 2022 will see NVIDIA introduce its "Lovelace" graphics architecture, powering the GeForce RTX 40-series GPUs; as well as a variant powering next-generation HPC processors. The company is looking to design its chips for TSMC's 5 nm silicon fabrication process, unless Samsung can fix its 5 nm-class foundry woes in time, and win back the company.

NVIDIA (NASDAQ: NVDA) today reported record revenue for the second quarter ended August 1, 2021, of $6.51 billion, up 68 percent from a year earlier and up 15 percent from the previous quarter, with record revenue from the company's Gaming, Data Center and Professional Visualization platforms. GAAP earnings per diluted share for the quarter were $0.94, up 276 percent from a year ago and up 24 percent from the previous quarter. Non-GAAP earnings per diluted share were $1.04, up 89 percent from a year ago and up 14 percent from the previous quarter.

"NVIDIA's pioneering work in accelerated computing continues to advance graphics, scientific computing and AI," said Jensen Huang, founder and CEO of NVIDIA. "Enabled by the NVIDIA platform, developers are creating the most impactful technologies of our time - from natural language understanding and recommender systems, to autonomous vehicles and logistic centers, to digital biology and climate science, to metaverse worlds that obey the laws of physics.

The Semiconductor Industry Association (SIA) today announced Jensen Huang, founder and CEO of NVIDIA and a trailblazer in building accelerated computing platforms, is the 2021 recipient of the industry's highest honor, the Robert N. Noyce Award. SIA presents the Noyce Award annually in recognition of a leader who has made outstanding contributions to the semiconductor industry in technology or public policy. Huang will accept the award at the SIA Awards Dinner on Nov. 18, 2021.

"Jensen Huang's extraordinary vision and tireless execution have greatly strengthened our industry, revolutionized computing, and advanced artificial intelligence," said John Neuffer, SIA president and CEO. "Jensen's accomplishments have fueled countless innovations—from gaming to scientific computing to self-driving cars—and he continues to advance technologies that will transform our industry and the world. We're pleased to recognize Jensen with the 2021 Robert N. Noyce Award for his many achievements in advancing semiconductor technology."

NVIDIA today announced it is turbocharging the NVIDIA HGX AI supercomputing platform with new technologies that fuse AI with high performance computing, making supercomputing more useful to a growing number of industries.

To accelerate the new era of industrial AI and HPC, NVIDIA has added three key technologies to its HGX platform: the NVIDIA A100 80 GB PCIe GPU, NVIDIA NDR 400G InfiniBand networking, and NVIDIA Magnum IO GPUDirect Storage software. Together, they provide the extreme performance to enable industrial HPC innovation.

NVIDIA today announced the NVIDIA BlueField -3 DPU, its next-generation data processing unit, to deliver the most powerful software-defined networking, storage and cybersecurity acceleration capabilities available for data centers.

The first DPU built for AI and accelerated computing, BlueField-3 lets every enterprise deliver applications at any scale with industry-leading performance and data center security. It is optimized for multi-tenant, cloud-native environments, offering software-defined, hardware-accelerated networking, storage, security and management services at data-center scale.

NVIDIA today announced its first data center CPU, an Arm-based processor that will deliver 10x the performance of today's fastest servers on the most complex AI and high performance computing workloads.

The result of more than 10,000 engineering years of work, the NVIDIA Grace CPU is designed to address the computing requirements for the world's most advanced applications—including natural language processing, recommender systems and AI supercomputing—that analyze enormous datasets requiring both ultra-fast compute performance and massive memory. It combines energy-efficient Arm CPU cores with an innovative low-power memory subsystem to deliver high performance with great efficiency.

NVIDIA today unveiled the world's first cloud-native, multi-tenant AI supercomputer—the next-generation NVIDIA DGX SuperPOD featuring NVIDIA BlueField -2 DPUs. Fortifying the DGX SuperPOD with BlueField-2 DPUs—data processing units that offload, accelerate and isolate users' data—provides customers with secure connections to their AI infrastructure.

The company also announced NVIDIA Base Command, which enables multiple users and IT teams to securely access, share and operate their DGX SuperPOD infrastructure. Base Command coordinates AI training and operations on DGX SuperPOD infrastructure to enable the work of teams of data scientists and developers located around the globe.

Remember that time when NVIDIA CEO Jensen Huang pulled the company's HGX system (based on Ampere GA100) out of his own oven? Well, it seems we might be looking at something similar come GTC, which is set for April 12th. The event will again take place solely via online transmissions and announcements due to the still heavily-grassing COVID-19 pandemic, and NVIDIA teased a new kick-off presentation from its CEO - from his kitchen.

NVIDIA has usually taken GTC as an opportunity to showcase products not for the consumer segment, however, so temper your expectations. You should also likely temper your expectations regarding Huang taking enough RTX 30-series graphics cards form his oven to satisfy the incredible demand and stock issues we've been seeing with NVIDIA's latest and greatest. What we could be looking for (as an appetizer to this year's over 1500 presentations) are products focused on the professional computing markets, from quantum computing to AI, passing through RTX Ampere accelerators for professionals, NVIDIA Drive products, as well as Jetson announcements. NVIDIA did warn some surprises might be in store, but again, this doesn't mean these are surprises aimed at consumer gaming products. Catch up on NVIDIA's official announcement and a previously-released GTC retrospective video after the break.

NVIDIA today reported record revenue for the fourth quarter ended January 31, 2021, of $5.00 billion, up 61 percent from $3.11 billion a year earlier, and up 6 percent from $4.73 billion in the previous quarter. The company's Gaming and Data Center platforms achieved record revenue for the quarter and year.

GAAP earnings per diluted share for the quarter were a record $2.31, up 51 percent from $1.53 a year ago, and up 9 percent from $2.12 in the previous quarter. Non-GAAP earnings per diluted share were $3.10, up 64 percent from $1.89 a year earlier, and up 7 percent from $2.91 in the previous quarter. For fiscal 2021, revenue was a record $16.68 billion, up 53 percent from $10.92 billion a year earlier. GAAP earnings per diluted share were a record $6.90, up 53 percent from $4.52 a year earlier. Non-GAAP earnings per diluted share were $10.00, up 73 percent from $5.79 a year earlier.

NVIDIA VP for GeForce, Jeff Fisher hosts the new GeForce RTX: Game On digital event on the sidelines of the 2021 International CES. We expect NVIDIA to unveil its new GeForce RTX 30-series "Ampere" mobile GPUs powering next-gen gaming notebooks; possible additions to its desktop RTX 30-series, including the all-important RTX 3060 and RTX 3050, and maybe some tweaks to the high-end segment. NVIDIA has a knack of surprising us with new gamer-relevant features with such presentations.Update 17:00 UTC: Here we go, with a quick recap of 2020.

NVIDIA (NASDAQ: NVDA) today reported record revenue for the third quarter ended October 25, 2020, of $4.73 billion, up 57 percent from $3.01 billion a year earlier, and up 22 percent from $3.87 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $2.12, up 46 percent from $1.45 a year ago, and up 114 percent from $0.99 in the previous quarter. Non-GAAP earnings per diluted share were $2.91, up 63 percent from $1.78 a year earlier, and up 33 percent from $2.18 in the previous quarter.

"NVIDIA is firing on all cylinders, achieving record revenues in Gaming, Data Center and overall," said Jensen Huang, founder and CEO of NVIDIA. "The new NVIDIA GeForce RTX GPU provides our largest-ever generational leap and demand is overwhelming. NVIDIA RTX has made raytracing the new standard in gaming. "We are continuing to raise the bar with NVIDIA AI. Our A100 compute platform is ramping fast, with the top cloud companies deploying it globally. We swept the industry AI inference benchmark, and our customers are moving some of the world's most popular AI services into production, powered by NVIDIA technology.

NVIDIA today announced a new kind of processor—DPUs, or data processing units—supported by DOCA, a novel data-center-infrastructure-on-a-chip architecture that enables breakthrough networking, storage and security performance.

NVIDIA founder and CEO Jensen Huang revealed the company's three-year DPU roadmap in today's GPU Technology Conference keynote. It features the new NVIDIA BlueField -2 family of DPUs and NVIDIA DOCA software development kit for building applications on DPU-accelerated data center infrastructure services.

NVIDIA today announced that it is building the United Kingdom's most powerful supercomputer, which it will make available to U.K. healthcare researchers using AI to solve pressing medical challenges, including those presented by COVID-19.

Expected to come online by year end, the "Cambridge-1" supercomputer will be an NVIDIA DGX SuperPOD system capable of delivering more than 400 petaflops of AI performance and 8 petaflops of Linpack performance, which would rank it No. 29 on the latest TOP500 list of the world's most powerful supercomputers. It will also rank among the world's top 3 most energy-efficient supercomputers on the current Green500 list.

GPU Folders make up a huge fraction of the number-crunching power of Folding@home, enabling us to help projects like the COVID Moonshot open science drug discovery project evaluate thousands of molecules per week in their quest to produce a new low-cost patent-free therapy for COVID-19. The COVID Moonshot (@covid_moonshot) is using the number-crunching power of Folding@home to evaluate thousands of molecules per week, synthesizing hundreds of these molecules in their quest to develop a patent-free drug for COVID-19 that could be taken as a simple 2x/day pill.

As of today, your folding GPUs just got a big powerup! Thanks to NVIDIA engineers, our Folding@home GPU cores—based on the open source OpenMM toolkit—are now CUDA-enabled, allowing you to run GPU projects significantly faster. Typical GPUs will see 15-30% speedups on most Folding@home projects, drastically increasing both science throughput and points per day (PPD) these GPUs will generate.Editor's Note:TechPowerUp features a strong community surrounding the Folding @ Home project. Remember to fold aggregated to the TPU team, if you so wish: we're currently 44# in the world, but have plans for complete world domination. You just have to input 50711 as your team ID. This is a way to donate efforts to cure various diseases affecting humanity that's at the reach of a few computer clicks - and the associated power cost with these computations.

It was just yesterday that we have received the news of NVIDIA's latest move - acquiring Arm Ltd. from Softbank Group for $40 billion. However, it seems like there are more reasons for the deal than what meets the eye. In the briefing regarding the acquisition, NVIDIA's CEO was asked a question, by Timothy Prickett Morgan, from TheNextPlatform, about NVIDIA's plans for a possible implementation of Arm's Neoverse core in an NVIDIA-branded CPU design and start selling them to data centers. To that question, Mr. Huang gave a prolonged answer indirectly saying that the company can build the CPU if there is a market for it.

He explains that there is an entire network surrounding the Arm ecosystem and that there may be customers interested in contracting NVIDIA to build them semi-custom or completely custom chip based on Arm ISA on NVIDIA's own interest. Any of these options are available and Mr. Haung says that they are there for the best interest of the ecosystem to enrich it enhance it even further. This means that it is just a matter of time before we see NVIDIA-branded CPU make its way to data-center or some other areas of technology, so we have to wait and see for ourselves.

NVIDIA and SoftBank Group Corp. (SBG) today announced a definitive agreement under which NVIDIA will acquire Arm Limited from SBG and the SoftBank Vision Fund (together, "SoftBank") in a transaction valued at $40 billion. The transaction is expected to be immediately accretive to NVIDIA's non-GAAP gross margin and non-GAAP earnings per share.

The combination brings together NVIDIA's leading AI computing platform with Arm's vast ecosystem to create the premier computing company for the age of artificial intelligence, accelerating innovation while expanding into large, high-growth markets. SoftBank will remain committed to Arm's long-term success through its ownership stake in NVIDIA, expected to be under 10 percent.

NVIDIA today reported record revenue for the second quarter ended July 26, 2020, of $3.87 billion, up 50 percent from $2.58 billion a year earlier, and up 26 percent from $3.08 billion in the previous quarter.

GAAP earnings per diluted share for the quarter were $0.99, up 10 percent from $0.90 a year ago, and down 33 percent from $1.47 in the previous quarter. Non-GAAP earnings per diluted share were $2.18, up 76 percent from $1.24 a year earlier, and up 21 percent from $1.80 in the previous quarter. NVIDIA closed its acquisition of Mellanox Technologies Ltd. on April 27, 2020. "Adoption of NVIDIA computing is accelerating, driving record revenue and exceptional growth," said Jensen Huang, founder and CEO of NVIDIA. "Growth in GeForce gaming accelerated as gamers increasingly immerse themselves in realistic virtual worlds created by NVIDIA RTX ray tracing and AI.

The University of Florida and NVIDIA Tuesday unveiled a plan to build the world's fastest AI supercomputer in academia, delivering 700 petaflops of AI performance. The effort is anchored by a $50 million gift: $25 million from alumnus and NVIDIA co-founder Chris Malachowsky and $25 million in hardware, software, training and services from NVIDIA.

"We've created a replicable, powerful model of public-private cooperation for everyone's benefit," said Malachowsky, who serves as an NVIDIA Fellow, in an online event featuring leaders from both the UF and NVIDIA. UF will invest an additional $20 million to create an AI-centric supercomputing and data center.

Mercedes-Benz, one of the largest manufacturers of premium passenger cars, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions. Working together, the companies plan to develop the most sophisticated and advanced computing architecture ever deployed in an automobile.

The new software-defined architecture will be built on the NVIDIA DRIVE platform and will be standard in Mercedes-Benz's next-generation fleet, enabling state-of-the-art automated driving functionalities. A primary feature will be the ability to automate driving of regular routes from address to address. In addition, there will be numerous future safety and convenience applications. Customers will be able to purchase and add capabilities, software applications and subscription services through over-the-air software updates during the life of the car.

NVIDIA today reported revenue for the first quarter ended April 26, 2020, of $3.08 billion, up 39 percent from $2.22 billion a year earlier, and down 1 percent from $3.11 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $1.47, up 130 percent from $0.64 a year ago, and down 4 percent from $1.53 in the previous quarter. Non-GAAP earnings per diluted share were $1.80, up 105 percent from $0.88 a year earlier, and down 5 percent from $1.89 in the previous quarter.

NVIDIA completed its acquisition of Mellanox Technologies Ltd. on April 27, 2020, for a transaction value of $7 billion. It also transitioned its GPU Technology Conference to an all-digital format, drawing more than 55,000 registered participants, while NVIDIA founder and CEO Jensen Huang's keynote videos were viewed 3.8 million times in their first three days.

NVIDIA today announced two powerful products for its EGX Edge AI platform - the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers - delivering high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, hospitals, stores, farms and factories can carry out real-time processing and protection of the massive amounts of data streaming from trillions of edge sensors. The platform makes it possible to securely deploy, manage and update fleets of servers remotely.

The EGX A100 converged accelerator and EGX Jetson Xavier NX micro-edge server are created to serve different size, cost and performance needs. Servers powered by the EGX A100 can manage hundreds of cameras in airports, for example, while the EGX Jetson Xavier NX is built to manage a handful of cameras in convenience stores. Cloud-native support ensures the entire EGX lineup can use the same optimized AI software to easily build and deploy AI applications.

NVIDIA CEO Jensen Huang in a pre-GTC press briefing stressed that the upcoming "Ampere" graphics architecture will spread across both the company's compute-accelerator and commercial graphics product lines. The architecture makes its debut later today with the Tesla A100 HPC processor for breakthrough AI acceleration. It's unlikely that any GeForce products will be formally announced this month, with rumors pointing to a GeForce "Ampere" product launch at a gaming-focused event in September, close to "Cyberpunk 2077" launch.

It was earlier believed that NVIDIA had forked its breadwinning IP into two lines, one focused on headless scalar compute, and the other on graphics products through the company's GeForce and Quadro product lines. To that effect, its "Volta" architecture focused on scalar-compute (with the exception of the forgotten TITAN V); and the "Turing" architecture focused solely on GeForce and Quadro. It was then believed that "Ampere" will focus on compute, and the so-called "Hopper" would be this generation's graphics-focused architecture. We now know that won't be the case. We've compiled a selection of GeForce Ampere rumors in this article.