Mitsui & Co., Ltd., one of Japan's largest business conglomerates, is collaborating with NVIDIA on Tokyo-1—an initiative to supercharge the nation's pharmaceutical leaders with technology, including high-resolution molecular dynamics simulations and generative AI models for drug discovery.

Announced today at the NVIDIA GTC global AI conference, the Tokyo-1 project features an NVIDIA DGX AI supercomputer that will be accessible to Japan's pharma companies and startups. The effort is poised to accelerate Japan's $100 billion pharma industry, the world's third largest following the U.S. and China.

Atos today announces a contract to build and install a new high-performance computer for the Max Planck Society, a world-leading science and technology research organization. The new system will be based on Atos' latest BullSequana XH3000 platform, which is powered by AMD EPYC CPUs and Instinct accelerators. In its final configuration, the application performance will be three times higher than the current "Cobra" system, which is also based on Atos technologies.

The new supercomputer, with a total order value of over 20 million euros, will be operated by the Max Planck Computing and Data Facility (MPCDF) in Garching near Munich and will provide high-performance computing (HPC) capacity for many institutes of the Max Planck Society. Particularly demanding scientific projects, such as those in astrophysics, life science research, materials research, plasma physics, and AI will benefit from the high-performance capabilities of the new system.

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.

Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, today unveiled Andromeda, a 13.5 million core AI supercomputer, now available and being used for commercial and academic work. Built with a cluster of 16 Cerebras CS-2 systems and leveraging Cerebras MemoryX and SwarmX technologies, Andromeda delivers more than 1 Exaflop of AI compute and 120 Petaflops of dense compute at 16-bit half precision. It is the only AI supercomputer to ever demonstrate near-perfect linear scaling on large language model workloads relying on simple data parallelism alone.

With more than 13.5 million AI-optimized compute cores and fed by 18,176 3rd Gen AMD EPYC processors, Andromeda features more cores than 1,953 Nvidia A100 GPUs and 1.6 times as many cores as the largest supercomputer in the world, Frontier, which has 8.7 million cores. Unlike any known GPU-based cluster, Andromeda delivers near-perfect scaling via simple data parallelism across GPT-class large language models, including GPT-3, GPT-J and GPT-NeoX.

IBM is one of the frontiers for using the natural properties of quantum particles to process the information on an enterprise scale. With constant advances in quantum information processing, the company is using newly found discoveries to double the size of its quantum processors. Using quantum properties instead of the conventional on/off switching of bits in the regular processors, quantum processors can process the information on a much larger scale. Last year, IBM unveiled the Eagle quantum processor with 127 qubits. This year, the company is bringing in 433 qubits to the table to power the next generation of enterprise and data center infrastructure.

Called IBM Osprey, it features IBM's 433 qubits cooled to cryogenic temperatures and in a controlled environment. While the computational power of the processor seems to be rather impressive, it is still a noisy quantum implementation that is sensitive to outside noise and requires exceptionally low temperatures to operate, such as -273 Degrees Celcius. To combat some of those obstacles, Osprey adds multi-level wiring to provide flexibility for signal routing and device layout while also adding integrated filtering to reduce noise and improve stability. Concurrently, IBM developed new signal delivery wiring that is 70% cheaper and produces the same result, driving up the ability to commercialize this design. For performance, IBM managed to increase quantum volume four times from 128 to 512 and a 10x improvement in Driving quantum performance from 1.4k to 15k Circuit Layer Operations Per Second (CLOPS).

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.

Supermicro, a Total IT Solution Provider for Cloud, AI/ML, Storage, and 5G/Edge, is announcing that NEC Corporation has selected over 116 Supermicro GPU servers that contain dual socket 3rd Gen Intel Xeon Scalable processors and each with eight NVIDIA A100 80 GB GPUs. As a result, the Supermicro GPU server line can include the latest and most powerful Intel Xeon scalable processors and the most advanced AI GPUs from NVIDIA.

"Supermicro is thrilled to deliver an additional 580 PFLOPS of AI training power to its worldwide AI installations," said Charles Liang, president, and CEO, Supermicro. "Supermicro GPU servers have been installed at NEC Corporation and are used to conduct state-of-the-art AI research. Our servers are designed for the most demanding AI workloads using the highest-performing CPUs and GPUs. We continue to work with leading customers worldwide to achieve their business objectives faster and more efficiently with our advanced rack-scale server solutions."

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."

Tachyum today announced that it has responded to a U.S. Department of Energy Request for Information soliciting Advanced Computing Ecosystems for DOE national laboratories engaged in scientific and national security research. Tachyum has submitted a proposal to create a 20-exaflop supercomputer based on Tachyum's Prodigy, the world's first universal processor.

The DOE's request calls for computing systems that are five to 10 times faster than those currently available and/or that can perform more complex applications in "data science, artificial intelligence, edge deployments at facilities, and science ecosystem problems, in addition to the traditional modeling and simulation applications."

The Exascale supercomputing race is now well underway, as the US-based Frontier supercomputer got delivered, and now we wait to see the remaining systems join the race. Today, during 79th HPC User Forum at Oak Ridge National Laboratory (ORNL), Terri Quinn at Lawrence Livermore National Laboratory (LLNL) delivered a few insights into what El Capitan exascale machine will look like. And it seems like the new powerhouse will be based on AMD's Instinct MI300 APU. LLNL targets peak performance of over two exaFLOPs and a sustained performance of more than one exaFLOP, under 40 megawatts of power. This should require a very dense and efficient computing solution, just like the MI300 APU is.

As a reminder, the AMD Instinct MI300 is an APU that combines Zen 4 x86-64 CPU cores, CDNA3 compute-oriented graphics, large cache structures, and HBM memory used as DRAM on a single package. This is achieved using a multi-chip module design with 2.5D and 3D chiplet integration using Infinity architecture. The system will essentially utilize thousands of these APUs to become one large Linux cluster. It is slated for installation in 2023, with an operating lifespan from 2024 to 2030.

JUPITER, the first European exascale supercomputer, will be hosted by the Jülich Supercomputing Centre in Germany. Exascale supercomputers are systems capable of performing more than a billion billion calculations per second and represent a significant milestone for Europe. By supporting the development of high-precision models of complex systems, they will have a major impact on European scientific excellence.

Researchers from Università di Bologna and CINECA, the largest supercomputing center in Italy, have been playing with the concept of developing a RISC-V supercomputer. The team has laid the grounds for the first-ever implementation that demonstrates the capability of the relatively novel ISA to run high-performance computing. To create a supercomputer, you need pieces of hardware that seem like Lego building blocks. Those are called clusters, made from a motherboard, processor, memory, and storage. Italian researchers decided to try and use something different than Intel/AMD solution to the problem and use a processor based on RISC-V ISA. Using SiFive's Freedom U740 SoC as the base, researchers named their RISC-V cluster "Monte Cimone."

Monte Cimone features four dual-board servers, each in a 1U form factor. Each board has a SiFive's Freedom U740 SoC with four U74 cores running up to 1.4 GHz and one S7 management core. In total, eight nodes combine for a total of 32 RISC-V cores. Paired with 16 GB of 64-bit DDR4 memory operating at 1866s MT/s, PCIe Gen 3 x8 bus running at 7.8 GB/s, one gigabit Ethernet port, USB 3.2 Gen 1 interfaces, the system is powered by two 250 Watt PSUs to support future expansion and addition of accelerator cards.

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.

Fujitsu today announced the launch of its new service portfolio "Fujitsu Computing as a Service (CaaS)" to accelerate digital transformation (DX) and empower customers globally by offering access to some of the world's most advanced computing technologies via the cloud for commercial use. The new service encompasses advanced computing resources like Fujitsu's quantum-inspired Digital Annealer technology, the computing technology at the heart of the world's fastest supercomputer, Fugaku, and software applications that allow a wide range of users to solve problems with AI and machine learning. Fujitsu will begin delivery of these new services to the Japanese market starting in October 2022 with a global rollout to international regions including Europe, Asia Pacific, and the Americas to follow.

As the first step, Fujitsu will begin preorders for "Fujitsu Cloud Service HPC," which offers the computing power of the "Fujitsu Supercomputer PRIMEHPC FX1000," which shares the same CPU at the heart of the supercomputer Fugaku. Fujitsu will begin sales of the service for the general public and organizations in Japan starting April 6, 2022, with delivery to commence from October. In the months ahead, Fujitsu will further add services for its Digital Annealer technology and AI cloud services to its service lineup in order to provide further value-added services that seamlessly integrate various solutions.

Fujitsu has successfully developed the world's fastest quantum computer simulator capable of handling 36 qubit quantum circuits on a cluster system featuring Fujitsu's "FUJITSU Supercomputer PRIMEHPC FX 700" ("PRIMEHPC FX 700")(1), which is equipped with the same A64FX CPU that powers the world's fastest supercomputer, Fugaku.

The newly developed quantum simulator can execute the quantum simulator software "Qulacs"(3) in parallel at high speed, achieving approximately double the performance of other significant quantum simulators in 36 qubit quantum operations. Fujitsu's new quantum simulator will serve as an important bridge towards the development of quantum computing applications that are expected to be put to practical use in the years ahead.

During this year's Supercomputing Conference 2021 (SC21), AMD is showcasing its expanded presence and growing preference in the high performance computing (HPC) industry with the exceptional innovation and adoption of AMD data center processors and accelerators. Customers across the industry continue to expand their use of AMD EPYC processors and AMD Instinct accelerators to power cutting-edge research needed to address some of the world's biggest challenges in climate, life sciences, medicine, and more.

Growing preference for AMD is showcased in the latest Top500 list. AMD now powers 73 supercomputers, compared to 21 in the November 2020 list, a more than 3x year-over-year increase. Additionally, AMD powers four out of the top ten most powerful supercomputers in the world, as well as the most powerful supercomputer in EMEA. Finally, AMD EPYC 7003 series processors, which launched eight months ago, are utilized by 17 of the 75 AMD powered supercomputers in the list, demonstrating the rapid adoption of the latest generation of EPYC processors.

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.

SiPearl, the designer of the high computing power and low consumption microprocessor that will be the heart of European supercomputers, has entered into a partnership with Intel in order to offer a common offer dedicated to the first exascale supercomputers in Europe. This partnership will offer their European customers the possibility of combining Rhea, the high computing power and low consumption microprocessor developed by SiPearl, with Intel's Ponte Vecchio accelerator, thus creating a high performance computing node that will promote the deployment of the exascale supercomputing in Europe.

To enable this powerful combination, SiPearl plans to use and optimize for its Rhea microprocessor the open and unified programming interface, oneAPI, created by Intel. Using this single solution across the entire heterogeneous compute node, consisting of Rhea and Ponte Vecchio, will increase developer productivity and application performance.

Xiaomi today took another bold step in the exploration of future technology with its new bio-inspired quadruped robot - CyberDog. The launch of CyberDog is the culmination of Xiaomi's engineering prowess, condensed into an open source robot companion that developers can build upon.

CyberDog is Xiaomi's first foray into quadruped robotics for the open source community and developers worldwide. Robotics enthusiasts interested in CyberDog can compete or co-create with other like-minded Xiaomi Fans, together propelling the development and potential of quadruped robots.

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, the maker of high-performance GPUs, has yesterday announced that the company will be investing at least 100 million US Dollars into UK's most powerful supercomputer. Back in October of 2020, NVIDIA announced that it will be building a supercomputer in Cambridge, UK, that will be called Cambridge-1. However, the original plan suggested that the investment would amount to around 40 million GBP, which is roughly 55.6 million USD. Now, it seems that NVIDIA is doubling the initial investment plan and the company now wants to invest 100 million USD, just at the initial phase, which would mean that the total budget could be much greater.

As the company is facing difficulties in the process of acquiring Arm Ltd. from Softbank, by building the most powerful supercomputer in the UK, it hopes to show its commitment to growing UK's Arm operations. And more specifically, it is building the Cambridge-1 in the same place as Arm's HQ, which is also Cambridge. In terms of technologies that will end up in this supercomputer, we are still not supplied with exact information, however, we can expect it to combine the latest CPU, GPU, and networking technologies into one powerful machine.

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.

Salad Technologies is inviting PC gamers to help build the world's largest supercomputer with their idle rigs in return for digital rewards, following milestone performance metrics on its distributed computing network. The company is launching a marketplace that will lend the combined processing power of its PC gamer user base to partners' advanced computing tasks. In time, private individuals running Salad's application will compete against multimillion dollar supercomputers.

Since its founding in 2018, Salad has made "Chefs" of more than 250,000 PC gamers, leveraging the idle processing power of their hardware to validate blockchain transactions through an open-source desktop app. While away from the keyboard, Salad users share compute resources to earn rewards value for games, gift cards, and subscriptions from a library of more than 15,000 digital rewards.

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.