Red Hat Enterprise Linux AI 1.2 Brings AMD ROCm + Instinct Tech Preview

Written by Michael Larabel in Red Hat on 16 October 2024 at 10:00 AM EDT. 5 Comments
RED HAT
Red Hat has announced the GA release of Red Hat Enterprise Linux AI 1.2. RHEL AI was announced earlier this year as Red Hat's AI solution for a foundation model platform to develop / test / run Granite GenAI models. Not to be confused with the RHEL operating system itself, RHEL AI is all about building large language models for enterprise software with Granite LLMs and InstructLab tooling.

With today's release of RHEL AI 1.2, Red Hat is introducing initial support for AMD Instinct accelerators as a "technology preview" level feature. RHEL AI now supports the full AMD ROCm open-source compute stack. The RHEL AI 1.2 tech preview support for ROCm covers AMD Instinct MI210 GPUs for inference tasks and then the AMD Instinct MI300X GPUs for both training and inference AI workloads.

RHEL AI diagram


Great seeing RHEL AI finally get onboard with AMD GPU support albeit limited to the recent Instinct hardware only. Up to now RHEL AI had supported CPU based execution and, of course, NVIDIA hardware. RHEL AI 1.2 also add auto-detection of available hardware accelerators to ease in the support.

Red Hat Enterprise Linux AI 1.2 also adds tech preview level availability on Microsoft Azure and Google Cloud Platform. Some of the other changes include Lenovo ThinkSystem SR675 v3 server support, training checkpoint and resume handling, and enhanced training with PyTorch FSDP.

More details on RHEL AI 1.2 via the Red Hat blog.
Related News
About The Author
Michael Larabel

Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter, LinkedIn, or contacted via MichaelLarabel.com.

Popular News This Week