All electronics ship with US style plugs.You may need a voltage converter or a plug adapter.
Special Features
Performs high-speed ML inferencing: The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. Works with Debian Linux: Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
Description
Overview High-Performance ML Accelerator for Enhanced System Integration The Coral MNini PCIe M.2 Accelerator B/M Key (G650-04686-01) is designed to bring powerful machine learning capabilities to your existing systems. With its compact 22x80mm size and Edge TPU coprocessor, this accelerator performs high-speed ML inferencing at 4 trillion operations per second (TOPS), making it an ideal choice for professionals seeking efficient and reliable performance. Features: B/M Key Interface: Compatible with standard M.2 slots. 4 TOPS Performance: Executes ML models at high speed. Compact Size: Measures 0.87 x 3.15 inches (22 x 80 mm). Edge TPU Coprocessor: Optimized for power-efficient ML tasks. Applications: Embedded Systems: Enhances AI capabilities in compact devices. Industrial Automation: Improves efficiency in automated processes. Healthcare Devices: Enables advanced diagnostics and monitoring. Smart Cities: Powers intelligent infrastructure and IoT solutions.