Open-source News

AMD ISP4 Driver On Track To Be Merged For Linux 7.2

Phoronix - Tue, 04/07/2026 - 18:30
It looks like with the Linux 7.2 kernel later in the year the AMD ISP4 driver will finally be merged to mainline. This driver is needed for the web camera on the HP ZBook Ultra G1a Strix Halo laptop and other future AMD Ryzen laptops...

RISC-V XIP Linux Feature Being Removed After It Keeps Breaking For Months At A Time

Phoronix - Tue, 04/07/2026 - 18:19
Introduced in Linux 5.13 back in 2021 was eXecute In Place "XIP" support for RISC-V that allows for the kernel image to be executed from ROM. The intent is on allowing the kernel to run from non-volatile storage like NOR flash that is directly addressable by the CPU and to reduce RAM usage. But after RISC-V XIP support is broken for months at a time, the feature is now set to be retired from the mainline kernel...

Mesa Granted Permanent Updates Exception For Fedora Linux

Phoronix - Tue, 04/07/2026 - 18:09
It doesn't change too much in practice with how Mesa updates typically have been handled under Fedora Linux, but now it's officially documented: Mesa graphics drivers have a permanent updates exception so new Mesa versions can be shipped as updates in Fedora stable releases...

Lemonade 10.1 Released For Latest Improvements For Local LLMs On AMD GPUs & NPUs

Phoronix - Tue, 04/07/2026 - 17:59
Following last month's Lemonade SDK 10.0 release that finally makes AMD Ryzen AI NPUs under Linux useful for running large language models (LLMs) where as before the Linux build could only target GPUs, released on Monday was Lemonade 10.1 with more enhancements to this local LLM solution...

Overcoming inference challenges

Red Hat News - Tue, 04/07/2026 - 08:00
Once organizations move beyond experimenting with a small handful of large language models (LLMs), the limits of manual model deployment become clear. What may work for early testing and development quickly turns inefficient, expensive, and difficult to scale. As the number of models, variants, and versions grow, teams are left not only managing increasing operational complexity, but also determining which GPU resources are the best fit for each workload.This challenge often turns into a kind of hardware-model Tetris. Most enterprises operate with a diverse mix of GPU infrastructure, from cutt

Pages