With data center operators’ requirements for faster access to massive amounts of data than ever before, the choice of storage technologies and associated infrastructure has become a critical consideration when IT departments design and implement their next-generation data centers. As storage technologies continue to increase in both performance and capacity, some decisions need to be made to deliver fast results to enterprise customers.
High Performance Computing (HPC) can enable humans to understand the world around us, from atomic behaviour to how the universe is expanding. While HPC used to be associated with a “supercomputer,” today’s HPC environments are created using hundreds to thousands of individual servers, connected by a high speed and low latency networking fabric. To take advantage of thousands of separate computing elements or “cores” simultaneously, applications need to be designed and implemented to work in parallel, sharing intermediate results as required.
Supermicro expands its portfolio bringing highest density 4U Server with NVIDIA HGX A100s 8-GPU and 8U SuperBlade supporting 20 A100 PCI-E GPUs
Supermicro announces the doubling of GPU capabilities with a new 4U server supporting eight NVIDIA HGX A100 GPUs. The flexible range of solutions powered by NVIDIA GPUs and GPU software from the NVIDIA NGC ecosystem provides the right building blocks for diverse tasks for organisations addressing various verticals — from AI inferencing on developed models to HPC to high-end training.
Supermicro has deployed an additional cluster at Lawrence Livermore National Laboratory (LLNL) to augment existing computing capabilities available for national security and to help discover therapeutics for SARS-CoV-2, the virus that causes COVID-19.
Nicht jeder bringt Supermicro und Supercomputing zusammen. Doch sowohl das Center for Scientific Computing (CSC), eine Initiative des Frankfurt Institute for Advanced Studies und der Johann Wolfgang Goethe-Universität Frankfurt, als auch das Lawrence Livermore National Laboratory setzen nun Plattformen des Herstellers ein - einmal mit AMD- und einmal mit AMD-Komponenten.
The HPC world, particularly in the U.S. is waiting for the next series of transitions to far larger machines with exascale capabilities. By this time next year, the bi-annual ranking of the top 500 most powerful systems will be refreshed at the top as Frontier, El Capitan, Aurora and other DoE supers come online.
Not every HPC or analytics workload – meaning an algorithmic solver and the data that it chews on – fits nicely in a 128 GB or 256 GB or even a 512 GB memory space, and sometimes the dataset is quite large and runs best with a larger memory space rather than carving it up into smaller pieces and distributing across nodes with the same amount of raw compute.
Supermicro expands portfolio with fully integrated NVIDIA A100 GPU-powered systems delivering five petaFLOPS of AI performance in a single 4U server
Supermicro Computer has announced two new systems designed for artificial intelligence (AI) deep learning applications that fully leverage the third-generation NVIDIA HGX technology with the new NVIDIA A100 Tensor Core GPUs as well as full support for the new NVIDIA A100 GPUs across the company’s broad portfolio of 1U, 2U, 4U and 10U GPU servers.
Supermicro Computer's 2U Ultra-E short-depth is the latest update to Supermicro’s growing NEBS (Network Equipment Building System) Level 3-certified server line-up. Its deployment and operation in telecom and other edge applications confirm that industry-standard and open server computational power can be found outside of traditional data centres.