What's New: The Aurora supercomputer at Argonne National Laboratory is now fully equipped with all 10,624 compute blades, boasting 63,744 Intel Data Center GPU Max Series and 21,248 Intel Xeon CPU Max Series processors. "Aurora is the first deployment of Intel's Max Series GPU, the biggest Xeon Max CPU-based system, and the largest GPU cluster in the world. We're proud to be part of this historic system and excited for the groundbreaking AI, science and engineering Aurora will enable."—Jeff McVeigh, Intel corporate vice president and general manager of the Super Compute Group

What Aurora Is: A collaboration of Intel, Hewlett Packard Enterprise (HPE) and the Department of Energy (DOE), the Aurora supercomputer is designed to unlock the potential of the three pillars of high performance computing (HPC): simulations, data analytics and artificial intelligence (AI) on an extremely large scale. The system incorporates more than 1,024 storage nodes (using DAOS, Intel's distributed asynchronous object storage), providing 220 terabytes (TB) of capacity at 31TBs of total bandwidth, and leverages the HPE Slingshot high-performance fabric. Later this year, Aurora is expected to be the world's first supercomputer to achieve a theoretical peak performance of more than 2 exaflops (an exaflop is 1018 or a billion billion operations per second) when it enters the TOP 500 list.

AMD today announced that its AMD EPYC Embedded Series processors are powering Hewlett Packard Enterprise's new modular, multi-protocol storage solution, HPE Alletra Storage MP. AMD EPYC Embedded processors provide the performance and energy efficiency required for enterprise-class storage systems with high availability, resilience, and industry-leading connectivity and longevity.

The HPE Alletra Storage MP supports a disaggregated infrastructure with multiple storage protocols on the same hardware that can scale independently for performance and capacity. Configurable for block and file stores, HPE Alletra Storage MP gives customers the ability to deploy, manage, and orchestrate data and storage services via the HPE GreenLake edge-to-cloud platform, regardless of the workload and storage protocol. This eliminates data silos, reducing cost and complexity while improving performance.

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.

Ampere Computing today announced a new AmpereOne Family of processors with up to 192 single threaded Ampere cores - the highest core count in the industry. This is the first product from Ampere based on the company's new custom core, built from the ground up and leveraging the company's internal IP. CEO Renée James, who founded Ampere Computing to offer a modern alternative to the industry with processors designed specifically for both efficiency and performance in the Cloud, said there was a fundamental shift happening that required a new approach.

"Every few decades of compute there has emerged a driving application or use of performance that sets a new bar of what is required of performance," James said. "The current driving uses are AI and connected everything combined with our continued use and desire for streaming media. We cannot continue to use power as a proxy for performance in the data center. At Ampere, we design our products to maximize performance at a sustainable power, so we can continue to drive the future of the industry."

KIOXIA America, Inc. today announced that its lineup of CD7 Series Enterprise and Datacenter Standard Form Factor (EDSFF) E3.S NVMe SSDs are first to ship on servers and storage from Hewlett Packard Enterprise (HPE). The industry's first EDSFF drives designed with PCIe 5.0 technology, KIOXIA CD7 E3.S SSDs increase flash storage density per drive for optimized power efficiency and rack consolidation. HPE ProLiant Gen11 servers, HPE Alletra 4000 data storage servers and the HPE Synergy 480 Gen11 Compute Module are enabled with the latest PCIe 5.0 interface, enabling up to twice the performance over PCIe 4.0, and come with optionally equipped EDSFF E3.S drive bays.

As a natural evolution of the 2.5-inch form factor, EDSFF E3.S is designed for the needs of high performance flash storage. E3.S enables more dense, efficient deployments in the same rack unit compared to 2.5-inch drives, while improving cooling and thermal characteristics and raising capacities by up to 1.5 - 2x.

The four major North American cloud service providers (CSPs) have made cuts to their server procurement quantities for this year because of economic headwinds and high inflation. Turning to server OEMs such as Dell and HPE, they are observed to have scaled back the production of server motherboards at their ODM partners. Given these developments, TrendForce now projects that global server shipments will grow by just 1.31% YoY to 14.43 million units for 2023. This latest figure is a downward correction from the earlier estimation. The revisions that server OEMs have made to their outlooks on shipments shows that the demand for end products has become much weaker than expected. They also highlight factors such as buyers of enterprise servers imposing a stricter control of their budgets and server OEMs' inventory corrections.

Today, KIOXIA America, Inc. announces its proud participation in the Hewlett Packard Enterprise (HPE) Spaceborne Computer-2 (SBC-2) program. As part of the program, KIOXIA SSDs provide robust flash storage in HPE Edgeline and HPE ProLiant servers in a test environment to conduct scientific experiments aboard the International Space Station (ISS).

"By bringing KIOXIA's expertise and its SSDs, one of the industry's leading NAND flash capabilities, with HPE Spaceborne Computer-2, together we are pushing the boundaries of scientific discovery and innovation at the most extreme edge."

AMD and Arm have been gaining up on Intel in the server CPU market in the past few years, and the margins of the share that AMD had won over were especially large in 2022 as datacenter operators and server brands began finding that solutions from the number-2 maker growing superior to those of the long-time leader, according to Frank Kung, DIGITIMES Research analyst focusing primarily on the server industry, who anticipates that AMD's share will well stand above 20% in 2023, while Arm will get 8%.

Prices are one of the three major drivers that resulted in datacenter operators and server brands switching to AMD. Comparing server CPUs from AMD and Intel with similar numbers of cores, clockspeed, and hardware specifications, the price tags of most of the former's products are at least 30% cheaper than the latter's, and the differences could go as high as over 40%, Kung said.

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."

The demand for data is insatiable, from 5G to the cloud to smart cities. As a society we want more autonomy, information to fuel our decisions and habits, and connection - to people, stories, and experiences.

To address these demands, the cloud infrastructure of tomorrow will need to handle the coming data explosion and the effective processing of evermore complex workloads … all while increasing power efficiency and minimizing carbon footprint. It's why the industry is increasingly looking to the performance, power efficiency, specialized processing and workload acceleration enabled by Arm Neoverse to redefine and transform the world's computing infrastructure.

AMD announced that the AMD Pensando Distributed Services Card, powered by the industry's most advanced data processing unit (DPU)1, will be one of the first DPU solutions to support VMware vSphere 8 available from leading server vendors including Dell Technologies, HPE and Lenovo.

As data center applications grow in scale and sophistication, the resulting workloads increase the demand on infrastructure services as well as crucial CPU resources. VMware vSphere 8 aims to reimagine IT infrastructure as a composable architecture with a goal of offloading infrastructure workloads such as networking, storage, and security from the CPU by leveraging the new vSphere Distributed Services Engine, freeing up valuable CPU cycles to be used for business functions and revenue generating applications.

Hewlett Packard Enterprise (NYSE: HPE) today announced that it is the first major server provider to deliver a new line of cloud-native compute solutions using processors from Ampere. The new HPE solutions provide service providers and enterprises embracing cloud-native development with an agile, extensible, and trusted compute foundation to drive innovation.

Available in Q3 2022, the new HPE ProLiant RL300 Gen11 server is the first in a series of HPE ProLiant RL Gen11 servers that deliver next-generation compute performance with higher power efficiency using Ampere Altra and Ampere Altra Max cloud-native processors.

Iceotope, the global leader in Precision Immersion Cooling, has announced that its chassis-level cooling system is being demonstrated in the Intel Booth at HPE Discover 2022, the prestigious "Edge-to-cloud Conference". Ku:l Data Center is the product of a close collaboration between Iceotope, Intel and HPE and promises a faster path to net zero operations by reducing edge and data center energy use by nearly a third. Once the sole preserve of arcane, high performance computing applications, liquid cooling is increasingly seen as essential technology for reliable and efficient operations of any IT load in any location. There is a pressing concern about sustainability impacts as distributed edge computing environments proliferate to meet the demand for data processing nearer the point of use, as well as growing facility power and cooling consumption driven by AI augmentation and hotter chips.

Working together with Intel and HPE, Iceotope benchmarked the power consumption of a sample IT installation being cooled respectively using air and precision immersion liquid cooling. The results show a substantial advantage in favour of liquid cooling, reducing overall power use across IT and cooling infrastructure.

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.

Ayar Labs, the leader in chip-to-chip optical connectivity, today announced that the company has secured $130 million in additional financing led by Boardman Bay Capital Management to drive the commercialization of its breakthrough optical I/O solution. Hewlett Packard Enterprise (HPE) and NVIDIA entered this investment round, joining existing strategic investors Applied Ventures LLC, GlobalFoundries, Intel Capital, and Lockheed Martin Ventures. Other new strategic and financial investors participating in the round include Agave SPV, Atreides Capital, Berkeley Frontier Fund, IAG Capital Partners, Infinitum Capital, Nautilus Venture Partners, and Tyche Partners. They join existing investors such as BlueSky Capital, Founders Fund, Playground Global, and TechU Venture Partners.

"As a successful technology-focused crossover fund operating for over a decade, Ayar Labs represents our largest private investment to date," said Will Graves, Chief Investment Officer at Boardman Bay Capital Management. "We believe that silicon photonics-based optical interconnects in the data center and telecommunications markets represent a massive new opportunity and that Ayar Labs is the leader in this emerging space with proven technology, a fantastic team, and the right ecosystem partners and strategy."

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.

NVIDIA today announced NVIDIA Quantum-2, the next generation of its InfiniBand networking platform, which offers the extreme performance, broad accessibility and strong security needed by cloud computing providers and supercomputing centers.

The most advanced end-to-end networking platform ever built, NVIDIA Quantum-2 is a 400 Gbps InfiniBand networking platform that consists of the NVIDIA Quantum-2 switch, the ConnectX-7 network adapter, the BlueField-3 data processing unit (DPU) and all the software that supports the new architecture.

Growth rates remained strong in the enterprise segment of the wireless local area networking (WLAN) market in the second quarter of 2021 (2Q21) as the market increased 22.4% on a year-over-year basis to $1.7 billion, according to the International Data Corporation (IDC) Worldwide Quarterly Wireless LAN Tracker. In the consumer segment of the WLAN market, revenues declined 5.7% in the quarter to $2.3 billion, giving the combined enterprise and consumer WLAN markets year-over-year growth of 4.6% in 2Q21.

The growth in the enterprise-class segment of the market builds on a strong first quarter of 2021 when revenues increased 24.6% year over year. For the first half of 2021, the market increased 23.5% compared to first two quarters of 2020. Compared to the second quarter of 2019, 2Q21 revenues increased 10.8%, indicating that demand in the enterprise WLAN is strong.

AMD announced that the U.S. Department of Energy's (DOE) Argonne National Laboratory (Argonne) has chosen AMD EPYC processors to power a new supercomputer, called Polaris, which will prepare researchers for the forthcoming exascale supercomputer at Argonne called Aurora. Polaris is built by Hewlett Packard Enterprise (HPE), will use 2nd Gen EPYC processors and then upgrade to 3rd Gen AMD EPYC processors, and will allow scientists and developers to test and optimize software codes and applications to tackle a range of AI, engineering, and scientific projects.

"AMD EPYC server processors continue to be the leading choice for modern HPC research, delivering the performance and capabilities needed to help solve the complex problems that pre-exascale and exascale computing will address," said Forrest Norrod, senior vice president and general manager, Datacenter and Embedded Solutions Business Group, AMD. "We are extremely proud to support Argonne National Laboratory and their critical research into areas including low carbon technologies, medical research, astronomy, solar power and more as we draw closer to the exascale era."

Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, is estimated to grow 15.2% year over year in 2021 to $341.8 billion, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. The market is forecast to accelerate further in 2022 with 18.8% growth and remain on track to break the $500 billion mark by 2024. Among the three technology categories, AI Software occupied 88% of the overall AI market. However, in terms of growth, AI Hardware is estimated to grow the fastest in the next several years. From 2023 onwards, AI Services is forecast to become the fastest growing category.

Within the AI Software category, AI Applications has the lion's share at nearly 50% of revenues. In terms of growth, AI Platforms is the strongest with a five-year compound annual growth rate (CAGR) of 33.2%. The slowest will be AI System Infrastructure Software with a five-year CAGR of 14.4% while accounting for roughly 35% of all AI Software revenues. Within the AI Applications market, AI ERM is expected to grow slightly stronger than AI CRM over the next five years. Meanwhile, AI Lifecycle Software is forecast to grow the fastest among the markets within AI Platforms.