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Specification
Brand : Google Coral
BulletPoint1 : 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
BulletPoint2 : x86-64 or ARMv8 system architecture
BulletPoint3 : 64-bit version of Windows 10
BulletPoint4 : x86-64 system architecture
BulletPoint5 : Professional design, Flexible, stable performance and easy to install.
Color : Tiny AVR Programmer (Red)
CompatibleDevices : Debian-based Linux systems
CompatibleProcessorTypes : Raspberry Pi BCM2835, BCM2836, BCM2837, BCM2711, Arduino Atmel AVR, Arduino ESP32
ConnectivityTechnology : Half-size Mini PCIe
ConnectivityTechnology1 : Wi-Fi
ConnectivityTechnology2 : I2C
ConnectorType : Rotary Crimping Terminals
CurrentRating : 10 amps
ExternallyAssignedProductIdentifier1 : 608614202775
ExternallyAssignedProductIdentifier2 : 0608614202775
GraphicsCardInterface : integrated
IncludedComponents : Tiny AVR Programmer
ItemName : SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe
ItemPackageDimensions_Height : 9.7028 centimeters
ItemPackageDimensions_Length : 0.4064 centimeters
ItemPackageDimensions_Width : 5.8166 centimeters
ItemPackageQuantity : 1
ItemTypeKeyword : single-board-computers
MainPowerConnectorType : DC Barrel Jack or similar
Manufacturer : Google Coral
Material : Copper
MaximumSwitchingCurrent : 10 amps
MaximumSwitchingVoltage : 250 volts
MeasurementSystem1 : Imperial
MeasurementSystem2 : Metric
MemoryClockSpeed : 2666 MHz
MemoryStorageCapacity : 4096 KB
MinimumSwitchingVoltage : 250 volts
ModelName : Coral SOM
ModelNumber : G650-04528-01
MountingType : Socket Mount
NumberOfBoxes : 1
NumberOfItems : 1
NumberOfPorts : 3
OperatingSystem : Debian-based Linux
OperationMode : Automatic
PartNumber : G650-04528-01
Platform : linux
ProcessorCount : 1
ProductDescription : 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. See more performance benchmarks.

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.

Supports AutoML Vision Edge
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
ProductSiteLaunchDate : 2020-01-02T08:00:00.000Z
SupplierDeclaredDgHzRegulation : not_applicable
SystemBusStandardSupported : SATA 2
TotalUsbPorts : 1
UnspscCode : 43201500
Voltage : 5 volts
WarrantyDescription : 3 year manufacturer
Wattage : 138 milliwatts
WirelessCommStandard : bluetooth