January 25, 2023
The immediate impacts of climate change and land-use change are severe enough, but increasingly, researchers are warning that large enough changes can then snow Read more…
January 19, 2023
Traditional utility planning based on more or less stable seasons year-over-year isn’t cutting it any more – and supercomputing is key to helping utilities Read more…
December 29, 2022
Many panels at SC22 focused on how supercomputing centers can help others recover from disasters – but one panel, “Facing the Unexpected: Disaster Managemen Read more…
October 19, 2022
In late 2020, the European Union announced plans for its Destination Earth (“DestinE”) moonshot project to create multiple digital twins of Earth, including Read more…
August 22, 2022
Amid wildfire and drought season, worries are growing that another natural disaster is looming over the West Coast: megafloods. While concurrent threats from megafloods and droughts may seem at odds with each other, researchers at the National Center for Atmospheric Research (NCAR) recently conducted a supercomputer-powered study showing that climate change is greatly exacerbating the risk of catastrophic flooding in California. Read more…
May 4, 2022
With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... Read more…
March 22, 2022
An accurate digital twin can be a boon to scientific endeavors, from recreating individual buildings in a city to understand energy use to recreating the Earth’s climate system to understand the effects of policies on climate change. At GTC21, Nvidia made waves by announcing that its Modulus framework for physics-based ML models and its... Read more…
March 18, 2022
The El Niño climate pattern, when it occurs, presents as warmer-than-usual water in the equatorial region of the Pacific Ocean. The changes in temperature and rainfall that ensue from this warmer water can affect natural disasters, crop yields and even the proliferation of disease — but El Niño’s variations can be hard to predict. Recently, researchers at the... 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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