May 2, 2016
At the 12th HPC Connections Workshop in Wuhan, China, Beihang University Professor Depei Qian disclosed new information regarding HPC development in China and Read more…
April 28, 2016
After five days of intense competition in Wuhan, China, the Huazhong University of Science and Technology team was crowned champion of the Asia Supercomputer Community's 2016 Student Supercomputer Challenge (ASC16). The awards ceremony took place last Friday (April 22) on the Huazhong University campus. Read more…
April 22, 2016
ASC Student Supercomputer Challenge 2016 (ASC16) concluded in Wuhan on April 22. The co-host Huazhong University of Science and Technology won the championship Read more…
April 20, 2016
At 11:30 am local time on Wednesday in Wuhan, China, Zhejiang University was declared the winner of the High Performance LINPACK (HPL) benchmark portion of the Read more…
April 20, 2016
In the first day of HPL contest at the ASC Student Supercomputer Challenge (ASC16) on April 20, the team from Zhejiang University achieved a floating point comp Read more…
April 19, 2016
The final round of the ASC Student Supercomputer Challenge 2016 (ASC16) will be held at Huazhong University of Science and Technology in Wuhan from April 18 to Read more…
April 18, 2016
The fifth annual Asia Student Supercomputer Challenge (ASC16) got off to an exciting start this morning at the Huazhong University of Science and Technology (HUST) in Wuhan, the capital of Hubei province, China. Read more…
March 18, 2016
On March 18, the ASC Student Supercomputer Challenge 2016 (ASC16) announced the Top 16 finalists. The final round will be held at Huazhong University of Science 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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