User:Jeblad/TensorFlow

To make an efficient envirionment for development it might be necessary to tweak and adapt the setup. That imply diverging versions for the various libraries, and even libraries that should not be defined on the computer as such.

CUDA and TensorFlow is no different in this respect.

Virtualization of PCI hardware
Your PC must satisfy the following:
 * 1) Your motherboard has an IOMMU unit.
 * 2) Your CPU supports the IOMMU.
 * 3) The IOMMU is enabled in the BIOS.
 * 4) The VM must run with VT-x/AMD-V and nested paging enabled.
 * 5) Your Linux kernel was compiled with IOMMU support. The PCI stub driver is required as well.
 * 6) Your Linux kernel recognizes and uses the IOMMU unit. Search for DMAR and PCI-DMA in kernel boot log.

Environment at host
Now edit the  and add new limits for memory and cpus.

Environment at client
Play it safe and setup both python 2.7 and 3.5?