April 5, 2016
As always, there’s a flood of news coming out of NVIDIA’s annual GPU Technology Conference, being held this week in San Jose. In addition to the much-anticipated Pascal debut, CEO Jen-Hsun Huang revealed an expansive update to NVIDIA’s SDK... Read more…
April 4, 2016
Hewlett Packard Enterprise (HPE) for the second straight week introduced new server products with today’s launches aimed at high performance computing. The ce Read more…
October 29, 2015
NVIDIA today announced availability of its newest PGI Accelerator Fortran, C and C++ compilers (version 15.10) now with support for OpenACC directives-based par Read more…
March 2, 2015
The high performance computing (HPC) community is heading toward the era of exascale machines, expected to exhibit an unprecedented level of complexity and size Read more…
August 20, 2014
Today marks the official release of the NVIDIA CUDA Toolkit version 6.5, which had previously been only available in its pre-release form. In a company blog pos Read more…
July 24, 2014
As the exascale barrier draws ever closer, experts around the world turn their attention to enabling this major advance. Providing a truly deep dive into the s Read more…
May 1, 2014
The Jetson TK1 development kit is now shipping. Order what GPU maker NVIDIA calls the “first mobile embedded supercomputer” and you’ll get a board with th Read more…
January 24, 2014
Georgia Tech professor Jon Rogers recently completed what may be the world's first GPU-enabled flight of an unmanned aircraft. Rogers and his team used a CUDA-o 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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