HyperCX Graphics Processing Units
Your next level low-cost, efficient, graphics-accelerated solution for your Virtual Machines.
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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?
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- 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.
