Coral

Coral is a local AI platform that helps build a better society, a healthier planet and a more fulfilling life by running AI inference directly on devices. The platform is designed to deliver efficient, private, fast and offline AI applications for a wide range of use cases and industries.

Coral's key benefits include:

• Efficient: Optimized for power and performance in embedded systems.
• Private: Runs all inferences locally, protecting user data.
• Fast: Runs AI at industry-leading inference speeds for embedded devices.
• Offline: Deployed in areas where connectivity is limited.

Coral products span the development and production spectrum:

• Prototyping products: Dev Board, USB Accelerator, Dev Board Mini and Dev Board Micro, for quick proof-of-concept development.
• Production products: Mini PCIe Accelerator, M.2 Accelerator and System-on-Module, for seamless integration into existing systems.
• Sensing products: Camera and Environmental Sensor Board, for providing real-world data to machine learning systems.

Coral also includes pre-compiled models for a range of applications, including object detection, pose estimation, image segmentation and key phrase detection. The platform supports popular frameworks like TensorFlow Lite and runs on Debian Linux, macOS and Windows 10.

Coral's technology is designed to be adaptable and scalable, working for startups and large enterprises. The platform is broadly applicable to a wide range of industries, including smart cities, manufacturing, healthcare and agriculture.

Coral products cost between $59.99 for the USB Accelerator, $99.99 for the Dev Board Mini and $129.99 for the Dev Board. For specific use cases, Coral partners offer products like the ASUS AI Accelerator PCIe Card and ASUS Tinker Edge T.

Coral's local AI and on-device inferencing approach helps address data privacy and latency concerns. Running AI processing directly on devices means Coral can deliver applications that are faster and more secure. The technology has the potential to transform many areas of our lives, from smart cities to healthcare, with reliable and efficient AI.

Published on July 19, 2024