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.

NVIDIA is rumored to introduce their next-generation Ampere architecture very soon, at its GTC event happening on May 14th. We're expecting to see an announcement for the successor to the company's DGX lineup of pre-built compute systems—using the upcoming Ampere architecture of course. At the heart of these machines, will be a new GA100 GPU, that's rumored to be very fast. A while ago, we've seen NVIDIA register a trademark for "DGX A100", which seems to be a credible name for these systems featuring the new Tesla A100 graphics cards.

Today, NVIDIA's CEO was spotted in an unlisted video that's published on the official NVIDIA YouTube channel. It shows him pulling out of the oven what he calls "world's largest GPU", that he has been cooking all the time. Featuring eight Tesla A100 GPUs, this DGX A100 system appears to be based on a similar platform design as previous DGX systems, where the GPU is a socketed SXM2 design. This looks like a viable upgrade path for owners of previous DGX systems—just swap out the GPUs and enjoy higher performance. It's been a while since we have seen Mr. Huang appear with his leather jacket, and in the video, he isn't wearing one, is this the real Jensen? Jokes aside, you can check out the video below, if it is not taken down soon.Update May 12th, 5 pm UTC: NVIDIA has listed the video and it is not unlisted anymore.

NVIDIA today announced the completion of its acquisition of Mellanox Technologies, Ltd., for a transaction value of $7 billion. The acquisition, initially announced on March 11, 2019, unites two of the world's leading companies in high performance and data center computing. Combining NVIDIA's leading computing expertise with Mellanox's high-performance networking technology, the move will enable customers to achieve higher performance, greater utilization of computing resources and lower operating costs.

"The expanding use of AI and data science is reshaping computing and data center architectures," said Jensen Huang, founder and CEO of NVIDIA. "With Mellanox, the new NVIDIA has end-to-end technologies from AI computing to networking, full-stack offerings from processors to software, and significant scale to advance next-generation data centers. Our combined expertise, supported by a rich ecosystem of partners, will meet the challenge of surging global demand for consumer internet services, and the application of AI and accelerated data science from cloud to edge to robotics."

NVIDIA has announced that their annual GTC (Graphics Technology Conference) keynote will be held on May 14th, via a fully online distribution through YouTube set for 6 a.m. PST. Originally canceled due to the COVID-19 pandemic, NVIDIA planned to make a digital-only event covering GTC on the same day of March 23rd, but elected to postpone it since "there were no announcements that were too critical not to be able to be told at a later time". The "Get AMPED" catchphrase does seem to point to some Ampere announcements, though, and the entire PC enthusiast community very much thinks that is one critical announcement.

The GTC 2020 note will be a recorded announcement led by NVIDIA CEO Jensen Huang. The leather jacket-toting CEO will highlight the company's latest innovations in AI, high performance computing, data science, autonomous machines, healthcare and graphics during the recorded keynote, which will be made available, on demand, on YouTube. Starting on May 19th, though, the graphics technology event will continue via live webinars, demos, and recorded talks discussing the very latest in AI, HPC, data science, graphics, and more.