November 17, 2022
Large language models (LLMs) have taken the tech world by storm over the past couple of years, dominating headlines with their ability to generate convincing hu Read more…
September 15, 2022
Two and a half years later, much of the world has settled into an uneasy routine with Covid-19 thanks to a host of highly effective vaccines and a handful of ef Read more…
April 28, 2022
As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the Read more…
March 24, 2022
Over 16 months ago, Pfizer achieved a historic scientific moonshot — the unprecedentedly swift development and authorization of a novel vaccine for a novel virus using methods that hitherto had not been used in approved drugs at scale. Throughout the pandemic, nearly every public research supercomputer pivoted to some form of Covid research... Read more…
March 17, 2022
In late 2020, Los Alamos National Laboratory (LANL) — which operates under the Department of Energy’s National Nuclear Security Administration (NNSA) — co Read more…
March 10, 2022
As the world’s students return to classrooms, a general unease remains over the dynamics of Covid transmission even as the omicron variant settles into a lull Read more…
March 9, 2022
The world is (once again) returning to some semblance of pre-pandemic life as the omicron variant wanes. Many are now wondering about the risk calculus for popu Read more…
February 8, 2022
Beyond the immediate investigations surrounding new variants and pharmaceuticals, the Covid-19 pandemic is raising the profile of another crucial, anxiety-induc 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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