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Inspur Launches 5 New AI Servers with NVIDIA A100 Tensor Core GPUs

Inspur released five new AI servers that fully support the new NVIDIA Ampere architecture. The new servers support up to 8 or 16 NVIDIA A100 Tensor Core GPUs, with remarkable AI computing performance of up to 40 PetaOPS, as well as delivering tremendous non-blocking GPU-to-GPU P2P bandwidth to reach maximum 600 GB/s. “With this upgrade, Inspur offers the most comprehensive AI server portfolio in the industry, better tackling the computing challenges created by data surges and complex modeling. We expect that the upgrade will significantly boost AI technology innovation and applications.”

Supercomputing Drug Screening for Deadly Heart Arrhythmias

Using XSEDE supercomputers, scientists have developed for the first time a way to screen drugs through their chemical structures for induced arrhythmias. Death from sudden cardiac arrest causes the most deaths by natural causes in the U.S. estimated at 325,000 per year. “Stampede 2 offered a large array of powerful multi-core CPU nodes, which we were able to efficiently use for dozens of molecular dynamics runs we had to do in parallel. Such efficiency and scalability rivaled and even exceeded other resources we used for those simulations including even GPU equipped nodes,” Vorobyov added.

GCS Centres in Germany support COVID-19 research with HPC

Epidemiologists have turned to the power of supercomputers to model and predict how the disease spreads at local and regional levels in hopes of forecasting potential new hot spots and guiding policy makers’ decisions in containing the disease’s spread. GCS is supporting several projects focused on these goals. “”Our workflows are perfectly scalable in the sense that the number of calculations we can perform is directly proportional to the number of cores available.”

Video: Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze Research Breakthroughs

Nick Nystrom from the Pittsburgh Supercomputing Center gave this talk at the Stanford HPC Conference. “The Artificial Intelligence and Big Data group at Pittsburgh Supercomputing Center converges Artificial Intelligence and high performance computing capabilities, empowering research to grow beyond prevailing constraints. The Bridges supercomputer is a uniquely capable resource for empowering research by bringing together HPC, AI and Big Data.”

Perlmutter supercomputer to include more than 6000 NVIDIA A100 processors

NERSC is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA this week. More than 6,000 of the A100 chips will be included in NERSC’s next-generation Perlmutter system, which is based on an HPE Cray Shasta supercomputer that will be deployed at Lawrence Berkeley National Laboratory later this year. “Nearly half of the workload running at NERSC is poised to take advantage of GPU acceleration, and NERSC, HPE, and NVIDIA have been working together over the last two years to help the scientific community prepare to leverage GPUs for a broad range of research workloads.”

AMD Wins Slot in Latest NVIDIA A100 Machine Learning System

Today AMD demonstrated continued momentum in HPC with NVIDIA’s announcement that 2nd Generation AMD EPYC 7742 processors will power their new DGX A100 dedicated AI and Machine Learning system. AMD has an impressive set of HPC wins in the past year, and has been chosen by the DOE to power two pending exascale-class supercomputers, Frontier and El Capitan. “2nd Gen AMD EPYC processors are the first and only current x86-architecture server processor supporting PCIe 4.0, providing up to 128 lanes of I/O, per processor for high performance computing and connections to other devices like GPUs.”

Atos Launches First Supercomputer Equipped with NVIDIA A100 GPU

Today Atos announced its new BullSequana X2415, the first supercomputer in Europe to integrate NVIDIA’s Ampere next-generation graphics processing unit architecture, the NVIDIA A100 Tensor Core GPU. This new supercomputer blade will deliver unprecedented computing power to boost application performance for HPC and AI workloads, tackling the challenges of the exascale era. The BullSequana X2415 blade will increase computing power by more than 2X and optimize energy consumption thanks to Atos’ 100% highly efficient water-cooled patented DLC (Direct Liquid Cooling) solution, which uses warm water to cool the machine.

Lenovo to deploy 17 Petaflop supercomputer at KIT in Germany

Today Lenovo announced a contract for a 17 petaflop supercomputer at Karlsruhe Institute of Technology (KIT) in Germany. Called HoreKa, the system will come online this Fall and will be handed over to the scientific communities by summer 2021. The procurement contract is reportedly on the order of EUR 15 million. “The result is an innovative hybrid system with almost 60.000 next-generation Intel Xeon Scalable Processor cores and 220 terabytes of main memory as well as 740 NVIDIA A100 Tensor Core GPUs. A non-blocking NVIDIA Mellanox InfiniBand HDR network with 200 GBit/s per port is used for communication between the nodes. Two Spectrum Scale parallel file systems offer a total storage capacity of more than 15 petabytes.”

Supermicro steps up with NVIDIA A100 GPU-Powered Systems

Today Supermicro announced two new AI systems based on NVIDIA A100 GPUs. NVIDIA A100 is the first elastic, multi-instance GPU that unifies training, inference, HPC, and analytics. “Optimized for AI and machine learning, Supermicro’s new 4U system supports eight A100 Tensor Core GPUs. The 4U form factor with eight GPUs is ideal for customers that want to scale their deployment as their processing requirements expand. The new 4U system will have one NVIDIA HGX A100 8 GPU board with eight A100 GPUs all-to-all connected with NVIDIA NVSwitch for up to 600GB per second GPU-to-GPU bandwidth and eight expansion slots for GPUDirect RDMA high-speed network cards.”

How HPC is aiding the fight against COVID-19

In this special guest feature, Dr. Rosemary Francis writes that HPC is playing a massive part in the fight against Covid-19 through modeling, genomics, and drug discovery. “Thanks to the work in labs and HPC centres around the world, we now know that the molecular mechanism of the SARS-CoV-2 entry is via a lock and key effect; a spike on the outside of the virus acts as a key to unlock an ACE2 receptor protein on the human cell.”