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Five Ways Big Data Can Help HPC Operators Run More Efficiently in the Cloud

When most of us hear the term big data, we tend to think of things like social media platforms, seismic data, or weather modeling. An essential use of big data, however, is to analyze data from complex systems to make th Read more…

Migration Tools Needed to Shift ML to Production

The confluence of accelerators like cloud GPUs along with the ability to handle data-rich HPC workloads will help push more machine learning projects into production, concludes a new study that also stresses the importan Read more…

Linux Foundation Launches Open AI Effort

The Linux Foundation launched a deep learning initiative this week designed to create a “neutral space for harmonization and acceleration” of AI, machine learning and deep learning technologies. The initial focus wil Read more…

Advanced Scheduling for Containerized, Microservice Applications

Sponsored Content by Univa

Containers are being adopted at a record-setting rate and although many container projects are still in pilot, dev, or test, as these deployments get to production scale resource constraints will surface. These constrain Read more…

Univa Gives ‘Pause’ to Big Data Apps

Scheduling workloads on today's big analytic clusters can be a big challenge. Your team may have carefully everything lined up, only to have a last-minute change leave your schedule in shambles. One company that's close Read more…

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