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 importance of cloud migration and accompanying tools.

The survey released this week by workload management specialist Univa Corp. confirms the rush to machine learning. However, it also found a lack of workloads in production. The reason, according to a survey of 344 IT managers is lingering problems with cloud migration, including workloads, data and applications.

Author: George Leopold

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