Today, Hewlett Packard Enterprise announces its new high performance computing (HPC) and artificial intelligence (AI) infrastructure portfolio that includes leadership-class HPE Cray Supercomputing EX solutions and two systems optimized for large language model (LLM) training, natural language processing (NLP) and multi-modal model training. The new supercomputing solutions are designed to help global customers fast-track scientific research and invention.

"Service providers and nations investing in sovereign AI initiatives are increasingly turning to high-performance computing as the critical backbone enabling large-scale AI training that accelerates discovery and innovation," said Trish Damkroger, senior vice president and general manager, HPC & AI Infrastructure Solutions at HPE. "Our customers turn to us to fast-track their AI system deployment to realize value faster and more efficiently by leveraging our world-leading HPC solutions and decades of experience in delivering, deploying and servicing fully-integrated systems."

The 63rd edition of the TOP500 reveals that Frontier has once again claimed the top spot, despite no longer being the only exascale machine on the list. Additionally, a new system has found its way into the Top 10.

The Frontier system at Oak Ridge National Laboratory in Tennessee, USA remains the most powerful system on the list with an HPL score of 1.206 EFlop/s. The system has a total of 8,699,904 combined CPU and GPU cores, an HPE Cray EX architecture that combines 3rd Gen AMD EPYC CPUs optimized for HPC and AI with AMD Instinct MI250X accelerators, and it relies on Cray's Slingshot 11 network for data transfer. On top of that, this machine has an impressive power efficiency rating of 52.93 GFlops/Watt - putting Frontier at the No. 13 spot on the GREEN500.

Increasing its HPL score from 1.02 Eflop/s in November 2022 to an impressive 1.194 Eflop/s on this list, Frontier was able to improve upon its score after a stagnation between June 2022 and November 2022. Considering exascale was only a goal to aspire to just a few years ago, a roughly 17% increase here is an enormous success. Additionally, Frontier earned a score of 9.95 Eflop/s on the HLP-MxP benchmark, which measures performance for mixed-precision calculation. This is also an increase over the 7.94 EFlop/s that the system achieved on the previous list and nearly 10 times more powerful than the machine's HPL score. Frontier is based on the HPE Cray EX235a architecture and utilizes AMD EPYC 64C 2 GHz processors. It also has 8,699,904 cores and an incredible energy efficiency rating of 52.59 Gflops/watt. It also relies on gigabit ethernet for data transfer.

The 60th edition of the TOP500 reveals that the Frontier system is still the only true exascale machine on the list.

With an HPL score of 1.102 EFlop/s, the Frontier machine at Oak Ridge National Laboratory (ORNL) did not improve upon the score it reached on the June 2022 list. That said, Frontier's near-tripling of the HPL score received by second-place winner is still a major victory for computer science. On top of that, Frontier demonstrated a score of 7.94 EFlop/s on the HPL-MxP benchmark, which measures performance for mixed-precision calculation. Frontier is based on the HPE Cray EX235a architecture and it relies on AMD EPYC 64C 2 GHz processor. The system has 8,730,112 cores and a power efficiency rating of 52.23 gigaflops/watt. It also relies on gigabit ethernet for data transfer.

Hewlett Packard Enterprise (NYSE: HPE) today announced it is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its world-leading, energy-efficient supercomputers in a smaller form factor and at a lower price point.

The expanded portfolio includes new HPE Cray EX and HPE Cray XD supercomputers, which are based on HPE's exascale innovation that delivers end-to-end, purpose-built technologies in compute, accelerated compute, interconnect, storage, software, and flexible power and cooling options. The supercomputers provide significant performance and AI-at-scale capabilities to tackle demanding, data-intensive workloads, speed up AI and machine learning initiatives, and accelerate innovation to deliver products and services to market faster.

When AMD announced that the company would deliver the world's fastest supercomputer, Frontier, the company also took a massive task to provide a machine capable of producing one ExaFLOP of total sustained ability to perform computing tasks. While the system is finally up and running, making a machine of that size run properly is challenging. In the world of High-Performance Computing, getting the hardware is only a portion of running the HPC center. In an interview with InsideHPC, Justin Whitt, program director for the Oak Ridge Leadership Computing Facility (OLCF), provided insight into what it is like to run the world's fastest supercomputer and what kinds of issues it is facing.

The Frontier system is powered by AMD EPYC 7A53s "Trento" 64-core 2.0 GHz CPUs and Instinct MI250X GPUs. Interconnecting everything is the HPE (Cray) Slingshot 64-port switch, which is responsible for sending data in and out of compute blades. The recent interview points out a rather interesting finding: exactly AMD Instinct MI250X GPUs and Slingshot interconnect cause hardware troubles for the Frontier. "It's mostly issues of scale coupled with the breadth of applications, so the issues we're encountering mostly relate to running very, very large jobs using the entire system … and getting all the hardware to work in concert to do that," says Justin Whitt. In addition to the limits of scale "The issues span lots of different categories, the GPUs are just one. A lot of challenges are focused around those, but that's not the majority of the challenges that we're seeing," he said. "It's a pretty good spread among common culprits of parts failures that have been a big part of it. I don't think that at this point that we have a lot of concern over the AMD products. We're dealing with a lot of the early-life kind of things we've seen with other machines that we've deployed, so it's nothing too out of the ordinary."

Quantum computing is an upcoming acceleration aiding classical computational methods to achieve monumental speed-ups at a few select problems. Unlike classical computers, quantum systems usually require sub-ambient cooling to make them work. At Quantum Brilliance, an Australian-Germany startup company, researchers have been developing quantum accelerators based on diamonds. Today, we got the world's first installation of room-temperature on-premises quantum computers at Australia's Pawsey Supercomputing Centre. While we don't have much information about the computational capability of the system, we know that it is paired with HPE Setonix, Pawsey's HPE Cray EX supercomputer.

In a brief YouTube video shared by Pawsey, it is highlighted that the benefits of using quantum accelerators are real, and they are figuring out ways to integrate it with the center's hardware and software stack for better usage. Meanwhile, Quantum Brilliance diamond accelerators are still a black box of some sort as the technology is known to the startup and its collaborating Australian universities. All we know is that the company is harnessing nitrogen-vacancy (NV) center in diamonds, which supposedly have the longest coherence time of any room temperature quantum state. This translates to a qubit that can operate anywhere a classical computer can.

Supercomputing game has been chasing various barriers over the years. This has included MegaFLOP, GigaFLOP, TeraFLOP, PetaFLOP, and now ExaFLOP computing. Today, we are witnessing for the first time an introduction of an Exascale-level machine contained at Oak Ridge National Laboratory. Called the Frontier, this system is not really new. We have known about its upcoming features for months now. What is new is the fact that it was completed and is successfully running at ORNL's facilities. Based on the HPE Cray EX235a architecture, the system uses 3rd Gen AMD EPYC 64-core processors with a 2 GHz frequency. In total, the system has 8,730,112 cores that work in conjunction with AMD Instinct MI250X GPUs.

As of today's TOP500 supercomputers list, the system is overtaking Fugaku's spot to become the fastest supercomputer on the planet. Delivering a sustained HPL (High-Performance Linpack) score of 1.102 Exaflop/s, it features a 52.23 GigaFLOPs/watt power efficiency rating. In the HPL-AI metric, dedicated to measuring the system's AI capabilities, the Frontier machine can output 6.86 exaFLOPs at reduced precisions. This alone is, of course, not a capable metric for Exascale machines as AI works with INT8/FP16/FP32 formats, while the official results are measured in FP64 double-precision form. Fugaku, the previous number one, scores about 2 ExaFLOPs in HPL-AI while delivering "only" 442 PetaFlop/s in HPL FP64 benchmarks.

Hewlett Packard Enterprise (NYSE: HPE) today announced its ongoing commitment in Europe by building its first factory in the region for next-generation high performance computing (HPC) and artificial intelligence (AI) systems to accelerate delivery to customers and strengthen the region's supplier ecosystem. The new site will manufacture HPE's industry-leading systems as custom-designed solutions to advance scientific research, mature AL/ML initiatives, and bolster innovation.

The dedicated HPC factory, which will become the fourth of HPE's global HPC sites, will be located in Kutná Hora, Czech Republic, next to HPE's existing European site for manufacturing its industry-standard servers and storage solutions. Operations will begin in summer 2022.

The National Renewable Energy Laboratory (NREL) has selected Hewlett Packard Enterprise (HPE) to build its third-generation, high performance computing (HPC) system, called Kestrel. Named for a falcon with keen eyesight and intelligence, Kestrel's moniker is apropos for its mission—to rapidly advance the U.S. Department of Energy's (DOE's) energy research and development (R&D) efforts to deliver transformative energy solutions to the entire United States.

Installation of the new system will begin in the fall of 2022 in NREL's Energy Systems Integration Facility (ESIF) data center. Kestrel will complement the laboratory's current supercomputer, Eagle, during the transition. When completed—in early 2023—Kestrel will accelerate energy efficiency and renewable energy research at a pace and scale more than five times greater than Eagle, with approximately 44 petaflops of computing power.

The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer.

While there were no other changes to the positions of the systems in the Top10, Perlmutter at NERSC improved its performance to 70.9 Pflop/s. Housed at the Lawrence Berkeley National Laboratory, Perlmutter's increased performance couldn't move it from its previously held No. 5 spot.

At this year's International Supercomputing 2021 digital event, AMD (NASDAQ: AMD) is showcasing momentum for its AMD EPYC processors and AMD Instinct accelerators across the High Performance Computing (HPC) industry. The company also outlined updates to the ROCm open software platform and introduced the AMD Instinct Education and Research (AIER) initiative. The latest Top500 list showcased the continued growth of AMD EPYC processors for HPC systems. AMD EPYC processors power nearly 5x more systems compared to the June 2020 list, and more than double the number of systems compared to November 2020. As well, AMD EPYC processors power half of the 58 new entries on the June 2021 list.

"High performance computing is critical to addressing the world's biggest and most important challenges," said Forrest Norrod, senior vice president and general manager, data center and embedded systems group, AMD. "With our AMD EPYC processor family and Instinct accelerators, AMD continues to be the partner of choice for HPC. We are committed to enabling the performance and capabilities needed to advance scientific discoveries, break the exascale barrier, and continue driving innovation."

AMD announced that AMD EPYC 7003 Series processors will be used to power a new supercomputer for the National Supercomputing Centre (NSCC) Singapore, the national high-performance computing (HPC) resource center dedicated to supporting science and engineering computing needs.

The system will be based on the HPE Cray EX supercomputer and will use a combination of the EPYC 7763 and EPYC 75F3 processors. The supercomputer is planned to be fully operational by 2022 and is expected to have a peak theoretical performance of 10 petaFLOPS, 8x faster than NSCC's existing pool of HPC resources. Researchers will use the system to advance scientific research across biomedicine, genomics, diseases, climate, and more.

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.

AMD has won a contract to empower the LUMI supercomputer, designed for the EuroHPC Joint Undertaking (EuroHPC JU) in conjunction with 10 European countries. The contract will see AMD provide both the CPU and GPU innards of the LUMI, set to be populated with next-generation AMD Epyc CPUs and AMD Instinct GPUs. The supercomputer, which is set to enter operation come next year, will deliver an estimated 552 petaflop/s - higher than the world's current fastest supercomputer, Fugaku in Japan, which reaches peak performance of 513 petaflop/s - and is an Arm-powered affair.

The contract for LUMI's construction has been won by Hewlett Packard Enterprise (HPE), which will be providing an HPE Cray EX supercomputer powered by the aforementioned AMD hardware. LUMI has an investment cost set at 200 million euros, for both hardware, installation, and the foreseeable lifetime of its operation. This design win by AMD marks another big contract for the company, which was all but absent from the supercomputing space until launch, and subsequent iterations, of its Zen architecture and latest generations of Instinct HPC accelerators.

Los Alamos National Laboratory has completed the installation of a next-generation high performance computing platform, with aim to enhance its ongoing R&D efforts in support of the nation's response to COVID-19. Named Chicoma, the new platform is poised to demonstrate Hewlett Packard Enterprise's new HPE Cray EX supercomputer architecture for solving complex scientific problems.

"As extensive social and economic impacts from COVID-19 continue to grip the nation, Los Alamos scientists are actively engaged in a number of critical research efforts ranging from therapeutics design to epidemiological modeling," said Irene Qualters, Associate Laboratory Director for Simulation and Computing at Los Alamos. "High Performance Computing is playing a critical role by allowing scientists to model the complex phenomena involved in viral evolution and propagation."

The Alliance for Computing at Extreme Scale (ACES), a partnership between Los Alamos National Laboratory and Sandia National Laboratories, announced the details of a $105 million contract awarded to Hewlett Packard Enterprise (HPE) to deliver Crossroads, a next-generation supercomputer to be sited at Los Alamos.

"This machine will advance our ability to study the most complex physical systems for science and national security. We look forward to its arrival and deployment," said Jason Pruet, Los Alamos' Program Director for the Advanced Simulating and Computing (ASC) Program.

AMD has been on a roll in both consumer, professional, and exascale computing environments, and it has just snagged itself another hugely important contract. The US Department of Energy (DOE) has just announced the winners for their next-gen, exascale supercomputer that aims to be the world's fastest. Dubbed "El Capitan", the new supercomputer will be powered by AMD's next-gen EPYC Genoa processors (Zen 4 architecture) and Radeon GPUs. This is the first such exascale contract where AMD is the sole purveyor of both CPUs and GPUs, with AMD's other design win with EPYC in the Cray Shasta being paired with NVIDIA graphics cards.

El Capitan will be a $600 million investment to be deployed in late 2022 and operational in 2023. Undoubtedly, next-gen proposals from AMD, Intel and NVIDIA were presented, with AMD winning the shootout in a big way. While initially the DOE projected El Capitan to provide some 1.5 exaflops of computing power, it has now revised their performance goals to a pure 2 exaflop machine. El Capitan willl thus be ten times faster than the current leader of the supercomputing world, Summit.

AMD has scored yet another design win for usage of its high-performance EPYC processors in the Cray Shasta supercomputer. The Cray Shasta will be deployed in the US Navy's Department of Defense Supercomputing Resource Center (DSRC) as part of the High Performance Computing Modernization Program. The peak theoretical computing capability of 12.8 PetaFLOPS, or 12.8 quadrillion floating point operations per second supercomputer will be built with 290,304 AMD EPYC (Rome) processor cores and 112 NVIDIA Volta V100 General-Purpose Graphics Processing Units (GPGPUs). The system will also feature 590 total terabytes (TB) of memory and 14 petabytes (PB) of usable storage, including 1 PB of NVMe-based solid state storage. Cray's Slingshot network will make sure all those components talk to each other at a rate of 200 Gigabits per second.

Navy DSRC supercomputers support climate, weather, and ocean modeling by NMOC, which assists U.S. Navy meteorologists and oceanographers in predicting environmental conditions that may affect the Navy fleet. Among other scientific endeavors, the new supercomputer will be used to enhance weather forecasting models; ultimately, this improves the accuracy of hurricane intensity and track forecasts. The system is expected to be online by early fiscal year 2021.

The UK government has set aside a budget of 1.2 billion GBP, which is roughly around 1.56 billion US Dollars. With this budget, the UK government plans to install the world's most powerful supercomputer used for weather forecasting in the year 2022. Previously, the UK government used three Cray XC40 supercomputers that are capable of achieving a maximum of 14 PetaFLOPs at its peak performance. The future system plans to take that number and make it look tiny. With plans to make it 20 times more powerful than the current machine, we can estimate that the future supercomputer will have above 200 PetaFLOPs of computing performance.

The supercomputer deployment will follow a series of cycles, where one is happening in 2022 and that supercomputer will be six times more powerful than the current solution. To get to that 20 times improvement, the supercomputer will get an upgrade over the next five years' time. While we do not know what will power the new machine, it will almost definitely be a CPU plus multi-GPU node configuration, as GPUs have gained a lot of traction in weather prediction models lately.

NVIDIA will soon launch its next-generation lineup of graphics cards based on a new and improved "Ampere" architecture. With the first Tesla server cards that are a part of the Ampere lineup going inside Indiana University Big Red 200 supercomputer, we now have some potential specifications and information about its compute performance. Thanks to the Twitter user dylan552p(@dylan522p), who did some math about the potential compute performance of the Ampere GPUs based on NextPlatform's report, we discovered that Ampere is potentially going to feature up to 18 TeraFLOPs of FP64 compute performance.

With Big Red 200 supercomputer being based on Cray's Shasta supercomputer building block, it is being deployed in two phases. The first phase is the deployment of 672 dual-socket nodes powered by AMD's EPYC 7742 "Rome" processors. These CPUs provide 3.15 PetaFLOPs of combined FP64 performance. With a total of 8 PetaFLOPs planned to be achieved by the Big Red 200, that leaves just a bit under 5 PetaFLOPs to be had using GPU+CPU enabled system. Considering the configuration of a node that contains one next-generation AMD "Milan" 64 core CPU, and four of NVIDIA's "Ampere" GPUs alongside it. If we take for a fact that Milan boosts FP64 performance by 25% compared to Rome, then the math shows that the 256 GPUs that will be delivered in the second phase of Big Red 200 deployment will feature up to 18 TeraFLOPs of FP64 compute performance. Even if "Milan" doubles the FP64 compute power of "Rome", there will be around 17.6 TeraFLOPs of FP64 performance for the GPU.

Global supercomputer leader Cray, a Hewlett Packard Enterprise company, and leading Japanese information and communication technology company Fujitsu, today announced a partnership to offer high performance technologies for the Exascale Era. Under the alliance agreement, Cray is developing the first-ever commercial supercomputer powered by the Fujitsu A64FX Arm -based processor with high-memory bandwidth (HBM) and supported on the proven Cray CS500 supercomputer architecture and programming environment. Initial customers include Los Alamos National Laboratory, Oak Ridge National Laboratory, RIKEN Center for Computational Science, Stony Brook University, and University of Bristol. As part of this new partnership, Cray and Fujitsu will explore engineering collaboration, co-development, and joint go-to-market to meet customer demand in the supercomputing space.

"Our partnership with Fujitsu means customers now have a broader choice of processor technology to address their pressing computational needs," said Fred Kohout, senior vice president and CMO at Cray, a Hewlett Packard Enterprise company. "We are delivering the development-to-deployment experience customers have come to expect from Cray, including exploratory development to the Cray Programming Environment (CPE) for Arm processors to optimize performance and scalability with additional support for Scalable Vector Extensions and high bandwidth memory."

AMD (NASDAQ:AMD) today announced revenue for the third quarter of 2019 of $1.80 billion, operating income of $186 million, net income of $120 million and diluted earnings per share of $0.11. On a non-GAAP(*) basis, operating income was $240 million, net income was $219 million and diluted earnings per share was $0.18.

"Our first full quarter of 7 nm Ryzen, Radeon and EPYC processor sales drove our highest quarterly revenue since 2005, our highest quarterly gross margin since 2012 and a significant increase in net income year-over-year," said Dr. Lisa Su, AMD president and CEO. "I am extremely pleased with our progress as we have the strongest product portfolio in our history, significant customer momentum and a leadership product roadmap for 2020 and beyond."

AMD invited TechPowerUp to their launch event and editor's day coverage of Zen 2 EPYC processors based on the 7 nm process. The event was a day-long affair which included product demos and tours, and capped off with an official launch presentation which we are able to share with you live as the event goes on. Zen 2 with the Ryzen 3000-series processors ushered in a lot of excitement, and for good reason too as our own reviews show, but questions remained on how the platform would scale to the other end of the market. We already knew, for example, that AMD secured many contracts based on their first-generation EPYC processors, and no doubt the IPC increase and expected increased core count would cause similar, if not higher, interest here. We also expect to know shortly about the various SKUs and pricing involved, and also if AMD wants to shed more light on the future of the Threadripper processor family. Read below, and continue past the break, for our live coverage.21:00 UTC: Lisa Su is on the stage at the Palace of Fine Arts events venue in San Francisco to present AMD's latest developments on EPYC for datacenters, using the Zen 2 microarchitecture.21:10 UTC: AMD focuses not just on delivering a single chip, but it's goal is to deliver a complete solution for the enterprise.

AMD (NASDAQ:AMD) today announced revenue for the second quarter of 2019 of $1.53 billion, operating income of $59 million, net income of $35 million and diluted earnings per share of $0.03. On a non-GAAP basis, operating income was $111 million, net income was $92 million and diluted earnings per share was $0.08.

"I am pleased with our financial performance and execution in the quarter as we ramped production of three leadership 7nm product families," said Dr. Lisa Su, AMD president and CEO. "We have reached a significant inflection point for the company as our new Ryzen, Radeon and EPYC processors form the most competitive product portfolio in our history and are well positioned to drive significant growth in the second half of the year."