Sponsored When it comes to compute engines and network interconnects for supercomputers, there are lots of different choices available, but ultimately the nature of the applications — and how they evolve over time — will drive the technology choices that organizations make. …
Japan is home to one of only a few designated AI supercomputers open to public and private research partnerships via its ABCI (AI Bridging Cloud Infrastructure) system, which is set to reach nearly an exaflop of single-precision performance for ML workloads following a recent upgrade. …
Current custom AI hardware devices are built around super-efficient, high performance matrix multiplication. …
In late 2018, HPC storage provider Panasas rolled out its re-engineered PanFS parallel file system based on Linux, a move designed to give the company and its technology a capability that has become key at a time when HPC-like workloads and emerging technologies like artificial intelligence (AI) and machine learning continue to spill beyond the confines of research institutions and government laboratories and into the enterprise: portability. …
Four years ago, Cloudian was a six-year-old startup in an object storage space that, while the technology had been around for more than a decade, was seeing a surge of interest from cloud providers desperate for a storage architecture that only could scale to meet the demands of their rapidly growing datacenters, the massive amounts of data that was being generated and the need to be able to more easily move it between core on-premises datacenters and multiple cloud environments – and in the coming years the edge. …
For the past couple of decades, IBM’s Spectrum Scale – formerly known as General Parallel File System –has had a solid standing as one of the two go-to file systems for HPC. …
The National Center for Atmospheric Research (NCAR) is getting a significant upgrade to its all-CPU “Cheyenne” supercomputer, bringing it from 5.2 peak petaflops of performance to 19.87 petaflops with a combination of AMD CPUs and Nvidia A100 GPUs laid out in a Cray XE (formerly called “Shasta”) system from Hewlett Packard Enterprise. …
It is no surprise that the key criteria that organizations look for when shopping for high performance computing storage is performance. …
When many think of the Internet of Things (IoT) and connected vehicles from a compute perspective, the first thing that springs to mind is likely the small processors that are hard at work sensing, analyzing, and feeding data to remote systems. …
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