April 12, 2021
At GTC 2021, Nvidia has announced an upgraded iteration of its DGX SuperPods, calling the new offering “the first cloud-native, multi-tenant supercomputer.” Read more…
February 17, 2017
Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…
October 27, 2016
In a show of strength in Europe before heading to SC16 next month, IBM and the OpenPOWER Foundation today unveiled several new European initiatives and European-developed solutions at the first OpenPOWER Summit Europe being held this week at the Barcelona Supercomputing Center. The shotgun release of so many efforts, argue IBM and OpenPOWER, demonstrates the hungry appetite for and rapid adoption of Power-based technology in Europe. Read more…
October 6, 2016
Starting later this month, HPC professionals and data scientists wishing to try out NVLink'd Nvidia Pascal P100 GPUs won't have to spend upwards of $100,000 on NVIDIA's DGX-1 server or fork over about half that for IBM's Power8 server with NVLink and four Pascal GPUs. Soon they'll be able to get the power of Pascal in a public cloud. Read more…
September 8, 2016
Not long after revealing more details about its next-gen Power9 chip due in 2017, IBM today rolled out three new Power8-based Linux servers and a new version of Read more…
August 30, 2016
After offering OpenPower Summit attendees a limited preview in April, IBM is unveiling further details of its next-gen CPU, Power9, which the tech mainstay is Read more…
April 5, 2016
Tuesday at the seventh-annual GPU Technology Conference (GTC) in San Jose, Calif., NVIDIA revealed its first Pascal-architecture based GPU card, the P100, calling it "the most advanced accelerator ever built." The P100 is based on the NVIDIA Pascal GP100 GPU... 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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