March 13, 2023
After getting bruised in servers by AMD, Intel hopes to stop the bleeding in the server market with next year's chip offerings. The difference-making products will be Sierra Forest and Granite Rapids, which are due out in 2024, said Dave Zinsner, chief financial officer at Intel, last week at the Morgan Stanley Technology, Media and Telecom conference. Read more…
November 18, 2022
One of the original RISC-V designers this week boldly predicted that the open architecture will surpass rival chip architectures in performance. "The prediction is two or three years we'll be surpassing your architectures and available performance with... Read more…
November 1, 2022
Server hardware has taken a backseat to software-defined virtual machines handling datacenter workloads, but HPE is emphasizing the importance of hardware in these virtual operating models. HPE created waves when it released the next-generation ProLiant Gen11 servers with a flagship server based on Arm CPUs, which sent a strong... Read more…
September 3, 2019
Frontera, the NSF supercomputer installed at the Texas Advanced Computing Center (TACC) in June, passed its formal acceptance last week and is now officially la Read more…
August 8, 2019
This week’s big tech news – AMD’s release of the Epyc Rome CPU, the industry’s first 7nm server chip – got a major boost when Google confirmed that it Read more…
May 28, 2019
Advanced Micro Devices continued to play its hot hand at this week’s Computex event in Taipei, Taiwan, highlighting its processor roadmap at the cutting-edge Read more…
October 17, 2016
"We're gonna need a bigger supercomputer" is what Norwegian oil and gas company Petroleum Geo-Services (PGS) must have said to Cray ahead of working with the iconic supercomputer maker to expand its seismic processing capability by a full 50 percent. And it's not like PGS didn't already have a big supercomputer. Read more…
September 1, 2016
AMD and its primary fab partner GlobalFoundries have signed an updated five-year wafer supply agreement that will extend through the end of 2020. The restructuring simultaneously deepens the commitment between the partners and gives AMD limited freedom to see other... 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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