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 possible—unattainable 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 3.5–3.7Package ContentsUSB AcceleratorUSB 3 cableOperating Temperature25°C — Maximum clock frequency (optimal performance)35°C — 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