Performance of Machine Learning workloads using GPUs is by no means compromised when running on vSphere. In fact, you can often achieve better aggregate performance, i.e. throughput of many jobs, by running on vSphere vs. bare metal A key benefit of running GPU-based Machine Learning workloads on vSphere is the ability to allocate GPU resources in a very flexible and dynamic way. Performance of Machine Learning workloads using GPUs is by no means compromised when running on vSphere. In fact, you can often achieve better aggregate performance, i.e. throughput of many jobs, by running on vSphere vs. bare metal A key benefit of running GPU-based Machine Learning workloads on vSphere is the ability to allocate GPU resources in a very flexible and dynamic way.