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Configuring GPUs for Machine Learning, Explained

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Deep learning, the machine learning technique enabling computers to learn from extrapolated datasets, is a core component of cutting-edge technology like autonomous vehicles or medical image recognition. GPUs are the hardware flavor of choice to support these data-intensive workloads – but configuring GPUs within a virtualized environment can be tricky.

Inside this guide, learn more about three of the most common approaches for configuring VM/GPU-powered machine learning environments, including VMware’s VMDirectPath I/O, NVIDIA’s vGPU setup, and Bitfusion FlexDirect.

Vendor:
VMware
Posted:
11 Dec 2019
Published:
11 Dec 2019
Format:
PDF
Length:
29 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.