## Intel for Display, NVIDIA for ML

For those interested in trying this out, this is the `xorg.conf` file I used (in `/etc/X11/`)

```plaintext
Section “ServerLayout”
    Identifier “Layout0”
    Screen 0 “BuiltIn”
EndSection
Section “Screen”
    Identifier “BuiltIn”
    Device “intel”
EndSection
Section “Device”
    Identifier “intel”
…
```

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Hi,
I’ve implemented a simplified version of the procedure described here ([Intel for display, Nvidia for computing · GitHub](https://gist.github.com/wangruohui/bc7b9f424e3d5deb0c0b8bba990b1bc5)) to ensure that the NVIDIA GPU of my tensorbook is dedicated only to tf/keras/python processes while using the Intel GPU to drive the ubuntu/gnome GUI.
Prior to this, gnome/x…

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## TensorBook: was LambdaStack version of tf compiled with XLA support?

I am curious because I’ve just managed to compile tensorflow with XLA support to run on a dual-boot Microsoft Book 2 (SB2), with Ubuntu 18.04 achieving dramatic (-50%) improvement in runtimes.

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## Tensorbook suspend

I ran into the same problems… looking around there was a suggestion to add “nouveau.modeset=0” to the grub to fix this. This is how my entry in the grub looks like:

```plaintext
grub_CMDLINE_LINUX_DEFAULT=“quiet splash acpi_os_name=Linux acpi_osi=! acpi_osi=Linux acpi_backlight=vendor modprobe.blacklist=nouveau…
```

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## Import numba fails

Hi,
import numba in a python 3.6 session gives:
`ModuleNotFoundError: No module named ‘numba’`
Lambdastack apparently comes with a version of numba pre-installed (running sudo apt list we can find
`python3-numba/bionic 0.34.0-3 amd64 installed`).
Would I need to install numba manually (pip or apt?…