Four years after passing the U.S. National Quantum Initiative Act and decades after early quantum development and commercialization efforts started – think D-Wave Systems and IBM, for example …
The U.S. government is dedicating a record amount of $25 billion as part of the 2024 budget to emerging technologies as the country looks to counter the technology threat from China. The budget …
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
March 9, 2023
Time’s up: nearly everyone agrees it’s about time to become serious about bringing security safeguards to high-performance computing systems, which has been Read more…
March 6, 2023
While quantum computing makes its way haphazardly towards practical realty, quantum key distribution (QKD) is moving quickly towards greater commercial use. Tod Read more…
March 5, 2023
Intel CEO Pat Gelsinger is taking a no-holds-barred approach to cutting costs as he whips the company back into financial shape. Intel has already exited seven businesses, and recently made wholesale graphics processors changes by axing products and changing its enterprise GPU roadmap. Intel has scrapped a supercomputer GPU codenamed Rialto Bridge, which was advertised... Read more…
March 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it Read more…
February 28, 2023
Enabling interoperability across U.S. exascale supercomputers is one of the chief goals for the U.S. Exascale Computing Project (ECP), which has broadly oversee Read more…
February 28, 2023
Since ChatGPT took the world by storm, companies opened pocketbooks to explore the tech. It also brought attention to OpenAI's GPT-3, the large-language model b Read more…
February 23, 2023
Layoffs and the threat of delisting at Rigetti and less-well-publicized cash squeezes elsewhere in the young quantum computing landscape have caused a stir. Hyp Read more…
February 7, 2023
Time to finally(!) clear the 2022 decks and get the rest of the 2022 Great American Supercomputing Road Trip content out into the wild. The last part of the yea 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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