Open-source News

RADV Enables Vulkan Descriptor Heap Support By Default

Phoronix - Mon, 06/29/2026 - 17:35
In time for the Mesa 26.2 stable release expected out in August, the Radeon RADV Vulkan driver is now exposing the VK_EXT_descriptor_heap descriptor heap support by default...

OpenAPV 0.3 Adds APV RAW Encoding/Decoding Support

Phoronix - Mon, 06/29/2026 - 17:20
OpenAPV, the Academy Software Foundation project that provides a reference implementation of the Advanced Professional Video (APV) codec is out with a new feature update...

Mageia 10 Released For This Linux Distribution Carrying On The Mandrake Legacy

Phoronix - Mon, 06/29/2026 - 09:10
Mageia 10 ISOs are now available for this Linux distribution long ago derived from Mandriva Linux and in turn the legendary Mandrake Linux...

Arch Linux's Archinstall 4.4 Adds Dank Material Shell + Niri Desktop Option

Phoronix - Mon, 06/29/2026 - 08:41
Ahead of the July 2026 ISO refresh for Arch Linux, a new Archinstall 4.4 release has been tagged for this text-based and very convenient installer for Arch Linux...

Supercharge RHEL troubleshooting with agentic AI: Introducing goose

Red Hat News - Mon, 06/29/2026 - 08:00
AI is rapidly transforming how system administrators and developers interact with their environments. In 2025, we introduced the command line assistant, an optional tool available in Red Hat Enterprise Linux (RHEL) that allows users to ask questions and get natural language troubleshooting guidance right from the terminal.We're now announcing the next step in our AI-driven systems management journey—the availability of the goose AI agent in the RHEL extensions repository for RHEL 9.8 and RHEL 10.2. A project of the Agentic AI Foundation, goose is a flexible, open source AI agent that can be

Distributed AI inference: What telecom service provider leaders should know

Red Hat News - Mon, 06/29/2026 - 08:00
Every telecommunications service provider is operationalizing AI right now. Use cases include customer care-bots, network operation co-pilots, and managed AI-as-a-service (AIaaS) for external enterprise customers and others. The uncomfortable part is correlation of use case with business case, where the key factor is the cost of the AI accelerator, whether that's a graphics processing unit (GPU), tensor processing unit (TPU), or neural processing unit (NPU). Cost per inference decides whether these AI accelerators improve profit margins or erode them; to keep costs down, the AI model you sele

Pages