Enterprise Linux with the complete NVIDIA stack

Pre-packaged. Ready to run.

RLC + NVIDIA is based on the stable Rocky Linux distribution with the complete NVIDIA AI and networking stack pre-integrated and ready out-of-the-box. For teams that want GPU-ready Rocky Linux without a paid subscription, now you can deploy production-ready AI and HPC workloads with fully integrated CUDA Toolkit and DOCA-OFED.

CIQ + NVIDIA
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Transforming how organizations deploy and scale GPU-accelerated workloads with RLC + NVIDIA, based on the fastest-growing Enterprise Linux platform.

Ready at first boot

CUDA Toolkit, cuDNN, NCCL, and DOCA-OFED ship pre-integrated.

Stable and compatible

Complete NVIDIA stack tested for every release.

"If you're building applications that leverage accelerated computing, RLC + NVIDIA is now the obvious choice. We've removed every barrier between developers and GPU performance. With the complete, validated NVIDIA stack integrated directly into RLC, teams can focus entirely on innovation rather than infrastructure. This is the appliance experience that the developer community has needed: download, deploy, and start building immediately."

Gregory Kurtzer

Gregory Kurtzer

Founder and CEO of CIQ

RLC Pro

Enterprise Linux with complete NVIDIA CUDA Toolkit, DOCA-OFED drivers, professional validation. All standard.

RLC Pro AI

Move from installation to inference with pre-configured, validated environments. Enables seamless scaling to production clusters with thousands of nodes.

Fuzzball

Orchestrates NVIDIA CUDA-accelerated HPC and AI workloads through pre-validated containers with integrated DOCA-OFED support.

NVIDIA CUDA Toolkit integration

CIQ is the first Enterprise Linux provider licensed to deliver the NVIDIA AI and networking software stack, including CUDA Toolkit and DOCA-OFED. Ready to run out of the box. Get unprecedented simplicity and speed for AI and HPC deployments.

Powering critical industry workloads

RLC + NVIDIA runs workloads across AI, HPC, and highly-regulated production environments:

AI model training & inference

Deploy large language models, computer vision, and real-time inference pipelines with validated CUDA environments that eliminate configuration overhead.

  • LLMS
  • Computer vision
  • MLOps

Scientific computing

Accelerate climate modeling, molecular dynamics, and astrophysics simulations with enterprise-grade GPU computing infrastructure.

  • Climate modeling
  • Drug discovery
  • Materials science

Financial analytics

Power high-frequency trading, risk modeling, and real-time fraud detection with millisecond-critical GPU performance.

  • Trading algorithms
  • Risk modeling
  • Fraud detection

Media & entertainment

Streamline 3D rendering, video processing, and visual effects pipelines with optimized GPU acceleration.

  • 3D rendering
  • Video processing
  • VFX pipelines

Autonomous systems

Develop self-driving vehicles, robotics, and industrial automation with reliable GPU compute for real-time decision making.

  • Self-driving cars
  • Robotics
  • Industrial IoT

Edge computing

Deploy AI inference at the edge with consistent, portable environments that work seamlessly from datacenter to edge devices.

  • Edge AI
  • IoT analytics
  • Real-time processing

About the partnership

RLC + NVIDIA images provide developers and enterprises with validated, ready-to-run access to the complete NVIDIA software stack, including CUDA Toolkit and DOCA-OFED, enabling seamless scaling from development to production clusters with thousands of nodes.

Ready to accelerate your workloads?