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June 17, 2008
As AMD was unpacking its bags in Dresden yesterday, the company announced the next step in the evolution of its GPU-based application accelerator, the FireStream 9250. Read more…
June 17, 2008
UK-based ClearSpeed has launched its second-generation floating point accelerator lineup based on its new CSX700 “Callanish” ASIC. The new offerings include the e710 and e720 Advance boards and the CATS-700 1 teraflop server. Read more…
June 16, 2008
At ISC'08, NVIDIA has announced two new Tesla-branded GPU computing products, which incorporate the company's next generation 10-series processor that supports double precision floating point operations. Read more…
June 13, 2008
The 23rd annual International Supercomputing Conference (ISC) will bring together many of the world's leading experts in high performance computing this week in Dresden, Germany. HPCwire got an opportunity to ask conference chair Prof. Hans Meuer about the upcoming conference and his thoughts on the direction of supercomputing. Read more…
June 12, 2008
I'll be heading out to Dresden, Germany in a couple of days to attend the annual International Supercomputing Conference (ISC) and immerse myself in all things petascale. Read more…
June 9, 2008
Petaflop. Sure it's just a number, but it's a big number. On June 10, IBM announced that its Roadrunner supercomputer reached a record-breaking one petaflop -- a quadrillion floating point operations per second -- using the standard Linpack benchmark. It is the first general-purpose computer to reach this milestone. Read more…
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.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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