Your next level low-cost, efficient, graphics-accelerated solution for your Virtual Machines.
Graphics Processing Units (GPUs) have become the tool choice in computationally demanding fields such as scien-tific computing and machine learning. GPU capable VMs enables every virtual machine to get the same GPU benefits as a physical desktop. Because work that was typically done by the CPU has been offloaded to the GPU, the user has a much better experience and more users can be supported, besides enabling additional fields.
Using GPU to VM
In order to use a GPU card on a VM, it must be configured on the template first.
That template must be instantiated.
HyperCX's scheduler will find a host with the specified GPU available and will only deploy the VM in that host.
Why add GPU to VMs?
Increase in the number of graphics-accelerated VMs per host; supporting multiple users per physical GPU.
The virtual machine has full and direct access to the GPU, including the native graphics driver.
GPUs enable the completion of computationally intensive tasks much faster than conventional CPUs.