Super Support!
"Our experience with Virtalus has been totally satisfactory.
All the time they were concerned to identify our needs and adapt to them and our deadlines as much as possible. Our infrastructure costs were reduced by 40%."
David Miranda
CEO
Luxerv V- Cloud
Awesome Support
"Due to the Virtalus support, we have increased the response to the different security situations that are present in our infrastructure."
Rafael Rabelo
Chief Technology Officer, Addcel
Great Flexibility
"Virtalus has changed our way of working with our clients. We have been able to offer our customers better technology solutions, greater security and a broad diversity of products at very competitive costs"
Eduardo Camarena
Co-Founder & Managing Director
MasNegocio
HyperCX Graphics Processing Units
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 scientific 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.