Justin Emerson

Mosher Alumni Hall
Wed, Jul 17 2:00pm - 2:45pm

HPC and AI environments are overflowing with data and struggling with enough processing to leverage that data. They are frequently siloed as are your traditional batch and newer container workloads. How can we bridge these divides?

With datacenter-scale reference architectures, designed specifically for the higher education and research space, you can shorten deployment times, ease operations, and consolidate these silos to provide high performance GPU compute to many different use cases and workloads. Please join ePlus as we discuss the latest in these reference architectures, how you can leverage them in your organization, and what tools are available to make IT's life simpler and Developer's lives better.

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