CIQ Introduces Rocky Linux for AI Workloads

May 16, 2025
CIQ has launched Rocky Linux from CIQ for AI, a Linux distribution optimized for artificial intelligence applications, offering enhanced performance and security.

CIQ has unveiled Rocky Linux from CIQ for AI (RLC-AI), an operating system specifically designed for artificial intelligence workloads, announced in a press release. This tech preview version of Rocky Linux is optimized to deliver improved performance, stability, and security for AI model tuning and inference.

RLC-AI is built on the stable kernel.org long-term release, enhanced with AI-specific optimizations. It supports advanced hardware from NVIDIA, AMD, and Intel, and integrates seamlessly with AI frameworks like TensorFlow and PyTorch. The system includes proprietary and out-of-tree modules, eliminating the need for post-installation setup and ensuring compatibility with new hardware.

The operating system aims to reduce infrastructure costs and accelerate deployment by providing immediate access to optimized environments. It also enhances performance and reliability through lower latency and consistent AI workload execution, making it a robust choice for organizations looking to scale their AI deployments efficiently.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.