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NVIDIA Launches UK's Most Powerful Supercomputer

NVIDIA today officially launched Cambridge-1, the United Kingdom's most powerful supercomputer, which will enable top scientists and healthcare experts to use the powerful combination of AI and simulation to accelerate the digital biology revolution and bolster the country's world-leading life sciences industry. Dedicated to advancing healthcare, Cambridge-1 represents a $100 million investment by NVIDIA. Its first projects with AstraZeneca, GSK, Guy's and St Thomas' NHS Foundation Trust, King's College London and Oxford Nanopore Technologies include developing a deeper understanding of brain diseases like dementia, using AI to design new drugs and improving the accuracy of finding disease-causing variations in human genomes.

Cambridge-1 brings together decades of NVIDIA's work in accelerated computing, AI and life sciences, where NVIDIA Clara and AI frameworks are optimized to take advantage of the entire system for large-scale research. An NVIDIA DGX SuperPOD supercomputing cluster, it ranks among the world's top 50 fastest computers and is powered by 100 percent renewable energy.

NVIDIA Announces Financial Results for First Quarter Fiscal 2022

NVIDIA (NASDAQ: NVDA) today reported record revenue for the first quarter ended May 2, 2021, of $5.66 billion, up 84 percent from a year earlier and up 13 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 a record $3.03, up 106 percent from a year ago and up 31 percent from the previous quarter. Non-GAAP earnings per diluted share were $3.66, up 103 percent from a year earlier and up 18 percent from the previous quarter.

"We had a fantastic quarter, with strong demand for our products driving record revenue," said Jensen Huang, founder and CEO of NVIDIA. "Our Data Center business continues to expand, as the world's industries take up NVIDIA AI to process computer vision, conversational AI, natural language understanding and recommender systems. NVIDIA RTX has reinvented computer graphics and is driving upgrades across the gaming and design markets. Our partners are launching the largest-ever wave of NVIDIA-powered laptops. Across industries, the adoption of NVIDIA computing platforms is accelerating.

NVIDIA Announces Grace CPU for Giant AI and High Performance Computing Workloads

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 Announces New DGX SuperPOD, the First Cloud-Native, Multi-Tenant Supercomputer, Opening World of AI to Enterprise

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.

TOP500 Expands Exaflops Capacity Amidst Low Turnover

The 56th edition of the TOP500 saw the Japanese Fugaku supercomputer solidify its number one status in a list that reflects a flattening performance growth curve. Although two new systems managed to make it into the top 10, the full list recorded the smallest number of new entries since the project began in 1993.

The entry level to the list moved up to 1.32 petaflops on the High Performance Linpack (HPL) benchmark, a small increase from 1.23 petaflops recorded in the June 2020 rankings. In a similar vein, the aggregate performance of all 500 systems grew from 2.22 exaflops in June to just 2.43 exaflops on the latest list. Likewise, average concurrency per system barely increased at all, growing from 145,363 cores six months ago to 145,465 cores in the current list.

NVIDIA Announces the A100 80GB GPU for AI Supercomputing

NVIDIA today unveiled the NVIDIA A100 80 GB GPU—the latest innovation powering the NVIDIA HGX AI supercomputing platform—with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs. The new A100 with HBM2E technology doubles the A100 40 GB GPU's high-bandwidth memory to 80 GB and delivers over 2 terabytes per second of memory bandwidth. This allows data to be fed quickly to A100, the world's fastest data center GPU, enabling researchers to accelerate their applications even faster and take on even larger models and datasets.

"Achieving state-of-the-art results in HPC and AI research requires building the biggest models, but these demand more memory capacity and bandwidth than ever before," said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. "The A100 80 GB GPU provides double the memory of its predecessor, which was introduced just six months ago, and breaks the 2 TB per second barrier, enabling researchers to tackle the world's most important scientific and big data challenges."

NVIDIA Building UK's Most Powerful Supercomputer, Dedicated to AI Research in Healthcare

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.

NVIDIA Announces Financial Results for Second Quarter Fiscal 2021

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.

NVIDIA to Build Fastest AI Supercomputer in Academia

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.

AMD EPYC Processors Ecosystem Continues to Grow with Integration into New NVIDIA DGX A100

AMD today announced the NVIDIA DGX A100, the third generation of the world's most advanced AI system, is the latest high-performance computing system featuring 2nd Gen AMD EPYC processors. Delivering 5 petaflops of AI performance, the elastic architecture of the NVIDIA DGX A100 enables enterprises to accelerate diverse AI workloads such as data analytics, training, and inference.

NVIDIA DGX A100 leverages the high-performance capabilities, 128 cores, DDR4-3200 MHz and PCIe 4 support from two AMD EPYC 7742 processors running at speeds up to 3.4 GHz¹. The 2nd Gen AMD EPYC processor is the first and only current x86-architecture server processor that supports PCIe 4, providing leadership high-bandwidth I/O that's critical for high performance computing and connections between the CPU and other devices like GPUs.

NVIDIA Announces Financial Results for First Quarter Fiscal 2021

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 Ships World's Most Advanced AI System — NVIDIA DGX A100

NVIDIA today unveiled NVIDIA DGX A100, the third generation of the world's most advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time. Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy's (DOE) Argonne National Laboratory, which will use the cluster's AI and computing power to better understand and fight COVID-19.

"NVIDIA DGX A100 is the ultimate instrument for advancing AI," said Jensen Huang, founder and CEO of NVIDIA. "NVIDIA DGX is the first AI system built for the end-to-end machine learning workflow - from data analytics to training to inference. And with the giant performance leap of the new DGX, machine learning engineers can stay ahead of the exponentially growing size of AI models and data."

NVIDIA CEO Jensen Huang has been Cooking the World's Largest GPU - Is this Ampere?

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.
NVIDIA DGX A100 System
Update May 12th, 5 pm UTC: NVIDIA has listed the video and it is not unlisted anymore.
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