Tesla has revealed that its biggest in-house AI supercomputer – which we wrote about last year – now has a total of 7,360 A100 GPUs, a nearly 28 percent uplift from its previous total of 5,76 …
The Australian government has been busy on the supercomputing front. In just the last two weeks, the Australian Department of Defence and the Australian Bureau of Meteorology have both revealed m …
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August 12, 2022
Courtesy of the schedule for the SC22 conference, we now have our first glimpse at the finalists for this year’s coveted Gordon Bell Prize. The Gordon Bell Pr Read more…
August 12, 2022
HPCwire presents our interview with Bronson Messer, distinguished scientist and director of Science at the Oak Ridge Leadership Computing Facility (OLCF), ORNL, and an HPCwire 2022 Person to Watch. Messer recaps ORNL's journey to exascale and sheds light on how all the pieces line up to support the all-important science. Also covered are the role... Read more…
August 9, 2022
Argonne National Laboratory has made its newest supercomputer, Polaris, available for scientific research. The system, which ranked 14th on the most recent Top500 list, is serving as a testbed for the exascale Aurora system slated for delivery in the coming months. The HPE-built Polaris system (pictured in the header) consists of 560 nodes... Read more…
August 3, 2022
When Cerebras Systems had its coming out at Hot Chips in August 2019, the hardware community wasn't sure what to think. Attendees were understandably skeptical of the novel "wafer-scale" technology, not to mention an estimated power envelope of ~15 kilowatts for the chip alone. In the intervening three years, the company... Read more…
August 2, 2022
A new version of a standard backed by major cloud providers and chip companies could change the way some of the world's largest datacenters and fastest supercomputers are built. The CXL Consortium on Tuesday announced a new specification called CXL 3.0 – also known as Compute Express Link 3.0... Read more…
August 1, 2022
As the need for speed drives computational workloads, more standards organizations are coalescing around a standard called Compute Express Link – also known a Read more…
July 28, 2022
The pitch for GE Research is easy, as Richard Arthur, senior director of computational methods research for GE Research, explained at the latest meeting of the DOE’s Advanced Scientific Computing Advisory Committee (ASCAC): a third of the electrons in the world that flow through devices are generated on GE equipment; every two seconds... Read more…
July 28, 2022
Scientists have uncovered a new type of quantum cryptography that utilizes one of the same laws of physics used in building quantum computers: quantum entanglement. Quantum entanglement, or what Einstein called “spooky action at a distance,” refers to the phenomenon of two subatomic particles being linked to one another in an exclusive... Read more…
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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