October 10, 2017
Fujitsu announced today it will build the long-planned AI Bridging Cloud Infrastructure (ABCI) which is set to become the fastest supercomputer system in Japan Read more…
September 21, 2017
It was a good day for Cray which won a $48 million contract from the Korea Institute of Science and Technology Information (KISTI) for a 128-rack CS500 cluster Read more…
June 13, 2017
On the eve of ISC 2017 and the next release of the Top500 list, Japan’s RIKEN Advanced Institute for Computational Science has posted an extensive study by IDC that compares and contrasts international efforts on pre-exascale and early exascale plans. Read more…
April 6, 2017
A 26.2 percent jump in supercomputer spending helped lift the overall 2016 HPC server segment by 4.4 percent according to a brief report released by Hyperion Re Read more…
May 10, 2016
It’s a good day to be Intel, Data Direct Networks (DDN), and Fujitsu. The Joint Center for Advanced High Performance Computing (JCAHPC) in Japan today release Read more…
January 25, 2016
Roughly six months ago SGI reorganized into three business units – traditional HPC; high performance data analytics (HPDA); and SGI services – each with a g Read more…
November 18, 2015
Perhaps the most eye-popping numbers in IDC’s HPC market report presented yesterday at its annual SC15 breakfast were ROI figures IDC has been developing as p Read more…
October 19, 2015
The HPC software research community greeted this summer’s announcement of the President’s National Strategic Computing Initiative (NSCI) with tremendous ent Read more…
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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