We've put together Clear Linux* OS  based reference stacks to allow developers to quickly get up and running on Clear Linux OS with images tailored, optimized, and tested together for specific use cases.

Media Reference Stack

Media Stack

Designed to accelerate offline and live media processing, analytics, and inference recommendations for real-world use cases such as smart city applications, immersive media enhancement, video surveillance, and product placement.



Database Reference Stack


This stack provides flexibility to accommodate larger capacity deployments of database applications, reduced hardware and operational costs, while maintaining required throughput and latency metrics.


Data Analytics Reference Stack


The ready-to-use stack is containerized software that integrates industry-leading components and giving you a powerful way to store and process large amounts of data using a distributed processing framework.


Deep Learning Reference Stack

This integrated, highly-performant open source stack is highly-tuned and built for cloud native environments, so you can quickly prototype by reducing complexity associated with integrating multiple software components, while still giving you the flexibility to customize your solutions.


Clear Linux Edge Stack

Edge Stack

The Clear Linux Edge Stack, a single-node FaaS edition, brings together Clear Linux OS and a number of dependencies for cloud connectivity (Amazon* Greengrass in the initial release, with plans to support additional cloud service providers (CSPs)), and the powerful OpenVINO™ toolkit. We also bundle some open source models along with details on how to support hardware acceleration of Function-as-a-Service containers (such as AWS Lambda) using OpenVINO.


Fusion Edge Stack


Built on top of ACRN, a lightweight, functionally safe hypervisor, the Fusion Edge Stack includes Clear Linux OS as its security OS, and supports Zephyr Project for a functionally-safe, real-time operating system (RTOS). The stack is also capable of supporting Clear Linux and Android as guest OSes, allowing the solution to meet performance and safety requirements in a virtualized environment, providing a cost-effective way for mixed workloads such as those found in the automotive market.