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With enterprises’ growing adoption of AI, ML, and analytics workloads, GPUs and FPGAs are becoming integral infrastructure parts to provide the timely results required by business-critical apps. For IT admins, this means satisfying a growing demand for elastic and virtual infrastructure to support more apps and users.
With Bitfusion and vSphere, see how to get the best of both worlds: a robust SDDC with ML/AI workloads in VMs or containers dynamically consuming any amount of GPU (partial, multiple, local, remote) while preserving those workloads’ ability to leverage vSphere vMotion and Distribution Resource Scheduler (DRS).
Personnel: Jim Brogan
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