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HPC Storage Enters a New Era
June 2, 2014
Until relatively recently, HPC storage systems have been almost an afterthought, a grab bag mix of components jury rigged together to support the star of the sh Read more…
HPC Storage – Deliver Solutions Faster to Market in Today’s Economy
June 17, 2013
Being competitive in today’s economy means companies need to accelerate the time it takes to go from concepts to profitable products and services. There is no shortage of new services, novel methods and innovations to help solve the problems we face; yet, to affect real change, faster market solutions need to be pragmatic and affordable. Read more…
Xyratex Targets Missing Middle with Scaled-Down ClusterStor 1500
May 9, 2013
In what has become a week of news around bringing HPC technology to the midrange market, Lustre file system gatekeeper, Xyratex, hashed out new boxes to bring down some parallel file system barriers and put higher performance on x86 cluster within closer reach for simulation and.... Read more…
How to Deploy Storage to Better Compete in Today’s Economy
April 29, 2013
Being competitive in today’s world economy means companies have to accelerate the time it takes to go from concept to profitable products and services. There is no shortage of new, good ideas and inventions to solve the problems we face; yet the world market demands solutions faster. Read more…
New OpenSFS Rep on the Future of Lustre
March 12, 2013
OpenSFS has chosen its Community Representative Director for 2013: Tommy Minyard, director of Advanced Computing Systems (ACS) at the Texas Advanced Computing Center (TACC). We got the new director's views on Lustre's opportunities in big data and exascale, maintaining a single source tree, and new features on the horizon. Read more…
Xyratex Captures Oracle’s Lustre
February 21, 2013
With the announcement this week that storage maker Xyratex has acquired Oracle's Lustre assets, the popular open source parallel file system is once again completely under the control of HPC stakeholders. Read more…
EIOW Shaping Exascale I/O is gaining Industry Momentum
December 11, 2012
As 2012 comes to a close, I see some great progress being made by the Exascale I/O Workgroup (EIOW – see <a href="http://www.EIOW.org" target="_blank">www.EIOW.org</a>). From helping formulate requirements on next generation I/O middleware to working among diverse HPC application developers and industry contributors, the group is charting a new direction for exascale-capable HPC architectural methods and prototypes. Read more…
Reliability Matters – Your HPC Workloads are Thirsty for Enterprise Quality
November 12, 2012
Is your current HPC data storage solution experiencing issues with disk drives? Are you seeing performance degradation, where HPC projects take longer to complete than they should? Is your performance situation normal, or are there reliable alternatives to achieving sustained performance at large HPC scale? Read more…
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Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
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.
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How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud
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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