November 20, 2015
On November 1 – not quite three weeks ago – Hewlett Packard Enterprise (HPE) emerged from the Big Split. That’s old news given the yearlong lead-up. Throu Read more…
November 2, 2015
Hewlett-Packard, HP, the iconic company often credited with laying the foundation for Silicon Valley and, with it, an unprecedented burst of technological creat Read more…
June 15, 2015
No surprise, storage requirements in HPC keep rising and solid state drives (SSD) continue making inroads at the node level according to Inersect360 Research’ Read more…
June 4, 2015
When HP finally divides into two pieces – HP Inc. (PCs and printers) and Hewlett Packard Enterprise (servers and services) – how will the HPC portfolio fare Read more…
October 30, 2014
Earlier this month, Gdańsk University of Technology declared plans to build the fastest supercomputer in Poland, a $9 million project developed via a partnersh Read more…
September 24, 2014
At the 2014 HPC User Forum in Seattle, Ryan Quick and Arno Kolster from PayPal describe how the company is using HPC to transform its chaotic real-time server Read more…
July 9, 2014
Airbus is set to increase its high-performance computing (HPC) capabilities by building on the partnership started with HP in 2011. The aircraft manufacturer wi Read more…
July 8, 2014
HPC and its twin big data are playing an increasing role in transforming the energy industry and the nation's electrical grid and nowhere is this more apparent 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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