The new and simplified AI accelerator driver experience on Red Hat Enterprise Linux

The new and simplified AI accelerator driver experience on Red Hat Enterprise Linux The challenge of GPU driver management, and our solution Why this matters for your AI initiatives Easy installation with rhel-drivers Partner validation: Confidence in running AI accelerators on RHEL RHEL Extensions Repository and Supplementary Repository RHEL Extensions Repository Red Hat Supplementary Repository Confidential computing Getting started Prerequisites Single-Command Installation with rhel-drivers Installing NVIDIA Kernel and User Mode Drivers with rhel-drivers Installing AMD kernel and user mode drivers with rhel-drivers Manual driver installation 1. Enable the Extensions and Supplementary Repositories 2. Identify and install the driver packages 3. Reboot your system 4. Verify the installation Intel NPU Kernel Mode Driver: Validating In BaseOS RHEL: the Foundation for building tomorrow's AI applications Red Hat Enterprise Linux | Product trial About the authors James Huang Scott Herold More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Many existing and popular workloads are getting infused and enhanced with AI, and there will likely emerge a new wave of AI applications in the future. This has led to the increasing importance of AI accelerators, including graphics processing units (GPU) and custom training and inference engines. From discrete GPUs to AI acceleration integrated on-die with the traditional CPU, it's clear that specialized, accelerated hardware is required to provide the performance needed to develop and deploy tomorrow's workloads. That's why we're announcing a new, simplified AI accelerator driver experience on Red Hat Enterprise Linux (RHEL). Whether you're a developer building the next ground-breaking AI application, or an IT systems administrator provisioning servers to deploy AI workloads, RHEL provides a seamless experience to get accelerated systems up and running. You can now acquire AI accelerator drivers from NVIDIA and AMD from Red Hat repositories, built and signed by Red Hat using secure software supply chain practices and Secure Boot technologies. In just one command, you can install the latest available accelerator drivers. Historically, installing and maintaining GPU accelerator drivers with enterprise-grade Linux distributions has presented a unique set of challenges.