Software-Hardware Codesign to Accelerate Software Development

Functionally accurate fixed virtual platforms (FVPs) of Arm Cortex-M CPUs and Arm Corstone reference subsystems.

Cloud-based models of popular development kits, including peripherals, sensors, and board components already in production.

• Based on Arm Fast Model technology developed alongside Arm processor IP.
• Precisely simulates instruction and exception behaviors.
• Runs locally on desktops, as well as cloud-based CI/CD configurations.

• Underpinned by the Arm Neoverse CPU natively executing Arm code, achieving higher simulation speeds than traditional modeling technologies.
• Accurate models of complete SoCs and development kits, including peripherals, sensors, and other board components. These models are not performance accurate.
• Executes the same binaries as real hardware and leverages the board SDKs and software code examples.
• Uses cloud-based servers, avoiding the complexity and cost of maintaining physical hardware.

• Corstone platforms: Corstone-320, Corstone-315, Corstone-310 and Corstone-300
• All Cortex-M processor cores.

• Raspberry Pi Model 4
• NXP® i.MX 93 Applications Processor
• NXP® i.MX 8M Arm Cortex Complex
• STM32U5 IoT Discovery Kit

• Software validation for ML and embedded applications.
• CI workflows for unit and integration testing of software modules with abstracted I/O interfaces.
• Exploration of embedded software stacks and examples.
• Training and education.

• Software developers building IoT, Automotive, ML, and embedded applications.
• OS (e.g. Linux) distribution and application verification with binary compatible images.
• Integration with cloud service providers solutions.
• Demonstration, training, and education for modern cloud-native software development practices.

• Via Arm Tools Artifactory, free of charge for evaluation, open-source projects and non-commercial use.
• Via Arm Keil MDK, at no extra cost to users of the MDK-Professional edition.
• Via AWS AMI (experimental), infrastructure costs vary on usage. Visit AWS Marketplace for more information.

A free 30-day trial plus a paid service subscription is available. For further detail on pricing, click here.

• Solution documentation, including infrastructure overview, usage examples, simulation details and useful references.

• Corellium Support Center
• Video: Getting Started with Raspberry Pi 4
• Tutorial: Getting Started with Matter in 3 Easy Steps
• Tutorial: Matter Development, BLE Commissioning and Wi-Fi Control using AVH
• Tutorial: Build a Matter Home Automation Service Using Raspberry Pi, AVH, and Python

See Infrastructure documentation for available options in cloud and desktop environments.

Available via Corellium. Click here to get started.