An organization’s data scientists are executing a plan to use machine learning (ML). They must have access to graphical processing unit (GPU) capabilities to execute their computational models when needed. The solutions architect needs to design a solution to ensure that GPUs can be shared by multiple virtual machines.
Which two solutions should the architect recommend to meet these requirements? (Choose two.)
A . NVIDIA vGPU
B . AMD MxGPU
C . vSphere DirectPath I/O
D . vSGA
E . vSphere Bitfusion
Reference: https://blogs.vmware.com/apps/files/2019/08/5521-VMW-GPU-MACHINE-LEARNING-GUIDE- USLET-WEB-20190812.pdf