CIQ Announces General Availability of RLC Pro AI, Enterprise Linux Built to Deliver More From Every GPU

Key Takeaways

• Pre‑tuned AI stack boosts GPU throughput from day one
• Supports NVIDIA GPUs across cloud, on‑prem, and sovereign environments
• Built on CIQ Linux Kernel 6.12, ahead of enterprise OS
• Improves infrastructure economics as AI workloads scale
• Available now via CIQ portal with enterprise support

Summary

CIQ has launched the general availability of Rocky Linux from CIQ Pro AI (RLC Pro AI), an enterprise Linux distribution optimized for AI inference and GPU workloads. The OS includes pre‑configured PyTorch, NVIDIA CUDA, and DOCA‑OFED stacks, and runs on the CIQ Linux Kernel 6.12 with day‑one support for current NVIDIA GPUs across cloud and on‑prem environments. CIQ claims the stack delivers higher GPU throughput without manual tuning, improving economics as deployments scale. The product is now purchasable via the CIQ portal and accompanied by a webinar.

Pulse Analysis

The rapid adoption of GPU‑accelerated artificial‑intelligence workloads has turned the operating system into a hidden performance lever. While hardware vendors push ever‑faster accelerators, many enterprises still run AI inference on generic Linux distributions that lack deep integration with CUDA, DOCA‑OFED, and popular frameworks. This mismatch leaves a measurable portion of GPU capacity idle, inflating total cost of ownership and slowing time‑to‑value. Recognizing this gap, CIQ has engineered an OS layer that aligns the kernel, drivers, and libraries specifically for inference workloads, unlocking the latent horsepower of existing clusters.

RLC Pro AI ships with the CIQ Linux Kernel 6.12, a long‑term release that incorporates early GPU support and kernel‑level optimizations unavailable in mainstream enterprise OSes. The distribution bundles PyTorch, the full NVIDIA CUDA stack, and DOCA‑OFED, all pre‑tuned with kernel flags that eliminate the need for manual configuration. Whether deployed on bare‑metal servers, Kubernetes clusters, or the major public clouds—AWS, Azure, GCP—the stack delivers a consistent performance profile. Day‑one compatibility with the latest NVIDIA accelerators means organizations can adopt new hardware without waiting for OS updates.

For businesses, the promise is twofold: higher inference throughput per GPU and a more predictable cost curve as deployments expand. By extracting additional output from the same silicon, RLC Pro AI reduces the number of nodes required to meet service‑level targets, translating into lower power, cooling, and licensing expenses. CIQ’s positioning as the founding partner of Rocky Linux adds credibility, while its broader portfolio—automation, orchestration, and container tools—offers a full‑stack solution for sovereign AI workloads. Early adopters can expect faster ROI and reduced operational risk.