G950-01456-01/ G950-06809-01Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

USB AcceleratorImportant Note: This product includes the
USB Accelerator only (Model: G950-01456-01 / G950-06809-01). AI for EveryoneBring real-time ML inference to your existing hardware! The USB Accelerator features a powerful Edge TPU coprocessor connected via USB 3.0, delivering fast, energy-efficient inference for TensorFlow Lite models.
Key Benefits: Local Processing Data stays on-device for low latency and full GDPR complianceHigh Performance Up to 4 trillion operations per second at just 2W power consumptionEasy Integration Works with Raspberry Pi 4, Linux, macOS, and Windows systemsPerfect for Raspberry Pi 4Achieve up to 20x faster inference compared to Pi 4 alone. Real-time video recognition at 50+ fps becomes possibleunattainable without the accelerator. Technical Specifications^^ Feature ^^ Specification ^^^^ -------------- ^^ ------------------------------- ^^^^ Processor ^^ Edge TPU ML accelerator ^^^^ Interface ^^ USB 3.0 (Type-C) ^^^^ Compatibility ^^ Linux, macOS 10.15 +, Windows 10 ^^^^ Power ^^ 900 mA peak @ 5V ^^^^ Dimensions ^^ 65 30 8 mm ^^^^ Python Support ^^ 3.5, 3.6, 3.7 ^^System RequirementsLinux Debian 6.0 + or derivatives (Ubuntu 10.0 +, Raspbian)Architecture: x86-64, ARMv7 (32-bit), or ARMv8 (64-bit)macOS 10.15 with MacPorts or HomebrewWindows 10USB 3.0 port recommendedPython 3.53. 7Package ContentsUSB AcceleratorUSB 3 cableOperating Temperature25C Maximum clock frequency (optimal performance) 35C Reduced clock frequency
Caution: Device may become hot during operation. Allow cooling before handling. Operation outside recommended temperature range is at user's own risk.
Part Number: G950-01456-01 / G950-06809-01 (from Oct 2020) ASUS
Part Number: 90AN0020-B0XAY0