It's still in kernels-org.json, because even if I remove it the update
script will keep putting it back, but nothing references it, and it'll
be removed from that file when kernels are next updated after it's
been delisted from kernel.org.
linux_testing_bcachefs still needs to be updated for >6.4, so for now
I've just inlined the Linux 6.4 definition in linux_testing_bcachefs's
definition.
For NVLink topology systems we need fabricmanager. Fabricmanager itself is
dependent on the datacenter driver set and not the regular x11 ones, it is also
tightly tied to the driver version. Furhtermore the current cudaPackages
defaults to version 11.8, which corresponds to the 520 datacenter drivers.
Future improvement should be to switch the main nvidia datacenter driver version
on the `config.cudaVersion` since these are well known from:
> https://docs.nvidia.com/deploy/cuda-compatibility/index.html#use-the-right-compat-package
This adds nixos configuration options `hardware.nvidia.datacenter.enable` and
`hardware.nvidia.datacenter.settings` (the settings configure fabricmanager)
Other interesting external links related to this commit are:
* Fabricmanager download site:
- https://developer.download.nvidia.com/compute/cuda/redist/fabricmanager/linux-x86_64/
* Data Center drivers:
- https://www.nvidia.com/Download/driverResults.aspx/193711/en-us/
Implementation specific details:
* Fabricmanager is added as a passthru package, similar to settings and
presistenced.
* Adds `use{Settings,Persistenced,Fabricmanager}` with defaults to preserve x11
expressions.
* Utilizes mkMerge to split the `hardware.nvidia` module into three comment
delimited sections:
1. Common
2. X11/xorg
3. Data Center
* Uses asserts to make the configurations mutualy exclusive.
Notes:
* Data Center Drivers are `x86_64` only.
* Reuses the `nvidia_x11` attribute in nixpkgs on enable, e.g. doesn't change it
to `nvidia_driver` and sets that to either `nvidia_x11` or `nvidia_dc`.
* Should have a helper function which is switched on `config.cudaVersion` like
`selectHighestVersion` but rather `selectCudaCompatibleVersion`.
