Previously the open-source (out-of-tree) kernel modules were just certified for their data center GPUs while now they are basically acknowledging that they are in good shape too for GeForce and workstation products.
It was back in May 2022 that NVIDIA announced their open-source GPU kernel driver plans for Turing GPus and newer.
Since then they’ve continued advancing this out-of-tree code that is bundled as part of their distributed driver package.
NVIDIA’s open kernel modules option is NOT to be confused with the upstream open-source Nouveau driver effort.
But there are some known limitations in the open kernel driver with not yet having G-SYNC support on notebooks and vRAM is not preserved across power management yet.
During the benchmarking not only was the raw performance analyzed but also the GPU power consumption between these alternative kernel drivers.
The original article contains 440 words, the summary contains 136 words. Saved 69%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Previously the open-source (out-of-tree) kernel modules were just certified for their data center GPUs while now they are basically acknowledging that they are in good shape too for GeForce and workstation products.
It was back in May 2022 that NVIDIA announced their open-source GPU kernel driver plans for Turing GPus and newer.
Since then they’ve continued advancing this out-of-tree code that is bundled as part of their distributed driver package.
NVIDIA’s open kernel modules option is NOT to be confused with the upstream open-source Nouveau driver effort.
But there are some known limitations in the open kernel driver with not yet having G-SYNC support on notebooks and vRAM is not preserved across power management yet.
During the benchmarking not only was the raw performance analyzed but also the GPU power consumption between these alternative kernel drivers.
The original article contains 440 words, the summary contains 136 words. Saved 69%. I’m a bot and I’m open source!