
For any PyTorch program or ComfyUI / Stable Diffusion scenario especially where the performance is coming up short on the likes of the Strix Halo Radeon 8060S, Radeon RX 9000 series, or other RDNA3/RDNA4 GPUs,


- A new wideband-to-fullband bandwidth extension (BWE) module
- Support for 96 kHz audio with Opus HD
- Significant improvement to Deep Redundancy (DRED)
- A new 24-bit encoder/decoder API

"Thinkpads are adding the ability to detect and report hardware damage status. Add new sysfs interface to identify whether hardware damage

As part of my various year-end comparison benchmarking, I recently ran some tests looking at how the Radeon RX 9000 series RDNA 4 performance has evolved since its debut near the beginning of the year. The Vulkan ray-tracing performance in particular was standing out this year as having evolved quite nicely while for conventional OpenGL and Vulkan performance the performance has been largely stable this year with its great at-launch support.
The biggest area of performance gains this year for the open-source Radeon RADV driver within

"People want software that is fast, modern, but also honest about what it does.



