Dear all, I am proud to announce the v0.9.2 of an ISAR evaluation nVidia image generator based on Debian bullseye. I hardly believe that this project will surprise you because of the technology adopted nor its use but probably you will find this file interesting, in particular the rationale chapter (added inline at the bottom for sake of completeness).
https://github.com/robang74/isar-nvidia-debian/blob/main/README.md#rationale It is an original rework of code based only on published source code and recipes. At the moment, this project is locked on a specific version of the driver (515.65.01) and CUDA libraries (11.7). It is my desire that it remains in this state for a purpose because it is just a proof of concept (PoC) and not even a commercial demo. Thanks in advance. I have no hardware with a supported nVidia card. It is appreciated that someone will take a nvidia-smi test on a complete or nvdocker image. The feedback would be appreciated also in private form. For this reason this project should be considered untested. After all, at the console login screen and immediately after a message of no warranty granted but delivered AS-IS is always displayed. Have fun! <3 Best regards, R- ==== Rationale --------- An equivalent result can be obtained installing a Debian 11, adding the nVidia repositories dedicated to the developers and the other one dedicated to the docker runtime, then installing the 'cuda-demo-suite-11-7' and 'nvidia-docker2' packages. The most sensitive difference between these two approaches is that the ISAR image contains the open-source driver while the apt installed the closed-source. In fact, this project is a proof-of-concept that shows how to add the open-source nVidia driver in a Debian 11 system integrating it with the proprietary full software stack without violating the licence and being able to redistribute the image, at least for some usages allowed by the licences (\*). - https://opensource.stackexchange.com/questions/10082/geforce-nvidia-driver-license-for-commerical-use This project aims to provide a way to deliver a system with nVidia full stack software installed which is legally distributable also for commercial uses. - https://www.nvidia.com/en-us/drivers/unix In fact, up today (515.76) the .run archive that contains the driver and the CUDA libraries is licenced in a way for which two essential operations are not permitted: - §2.1.2 does not allow the compilation essential for deliver a binary driver - §2.1.3 does not allow to repackage the .run content in many .deb packages This project works around these limitations using the open-source driver - https://github.com/NVIDIA/open-gpu-kernel-modules in order to not violate the §2.1.2 and installing the nVidia software from their public repositories without changing the .deb packages content and removing just few dependencies - which are just text fields into a .deb architecture and have nothing to do with the content delivered aka package metadata, only - allows to avoid installing the closed-source driver and the related packages. This allows also to choose a complete different kernel version respect the one delivered with the Debian 11 and compile it by an ISAR recipe applying a custom configuration and patches like this one: - https://lore.kernel.org/lkml/20220921063638.2489-1-kprateek.na...@amd.com that unlock AMD Ryzen CPUs a more +51% of computation power lost due to an old bug. (\*) **Legal notes** - no any warranty is granted and further license changes might happen. - debian legal ml https://lists.debian.org/debian-legal/2022/10/msg00004.html
