NVIDIA GPU sharing on Kubernetes for ML with Caffe2/PyTorch on vSphere (Part 1 of 2)
Introduction Kubernetes is a popular platform to deploy modern applications. In an earlier blog we look at how Tensorflow can be leveraged in the vSphere platform for common ML use cases. In this series we will look at running Caffe2 and PyTorch which are popular open source ML platforms. This solution focused on validating Caffe2 The post NVIDIA GPU sharing on Kubernetes for ML with Caffe2/PyTorch on vSphere (Part 1 of 2) appeared first on Virtualize Applications.
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