Questions about moving from Amazone to owned vmware infra

We have developed an application to do 3D rendering that is currently running under Ubuntu Linux V14 using SiftGPU http://cs.unc.edu/~ccwu/siftgpu/ with a K520.

We want to move the code to a VMware infra maintaining the Ubuntu OS SiftGPU but seems we would need to get either a K1 or a K2 as the drivers for ESXi are only supported with those card.

Questions:

Do we have to use either the K1 or K2 or could we continue to use the K520.
In either case what drivers do we need to use.
Lastly, if we go with the K1 or K2 can our application running in multiple instances take advantage of the shared vGPU grid under VMware ?

Thank you for your help and advice

Jean D.

You’ll need to use the K1 or K2. K2 equates to the K520 and can leverage the same SDK.

I’d recommend using the latest released drivers, and selecting the appropriate drivers for your hypervisor implementation.
Note that currently, vGPU does not have a Linux guest driver so you would need to use Passthrough.
Current Linux drivers for Passthrough are here

http://www.nvidia.co.uk/download/driverResults.aspx/82298/en-uk

Unfortunately, there is no vGPU driver for Linux guests. However it is under consideration as we see a slow growth in demand for Linux vGPU sessions.

Also, if you’re using the CUDA implementation of SiftGPU then you’ll need to use Passthrough as CUDA is not currently supported on vGPU regardless of the Guest OS.

I hope this helps clarify the options. You can absolutely migrate to a privately owned environment and deliver the same level of performance (if not greater) that you’re getting in the Amazon cloud.

Hi Jason,

We are updating our project to move from Amazon.

We are looking at Nutanix for the hardware platform along with Acropolis 4.5 (KVM) as the hypervisor, is this supported using the Linux version of the driver in a Virtual Machine in Passthrough mode ?

Also any development on the " consideration for Linux vGPU sessions." ?

For licensing, do i have the right understanding that passthrough mode does not requires special licensing "ex: Workstation extended" to use the CUDA implementation of SiftGPU ?

Thx

John

You’ll need to speak with Nutanix regarding their support of the functionality. Currently we formally support RHEL KVM.

It’s a feature of GRID 2.0 which was released 31st August 2015.
Virtual Workstation and Virtual Workstation Extended both include vGPU for Linux.

For GRID 2.0 (M60 & M6) Passthrough requires a Virtual Workstation Extended license.