Tech Specs

The Coral Accelerator Module is a machine learning accelerator module used for inferencing, optimized for vision applications. It offers an excellent performance / cost tradeoff at the vision processing entry-level market, and is in mass production.

Performance: 4 TOPS peak performance (int8), 2 TOPS per Watt (2 W peak power draw)

e.g. one EdgeTPU can execute MobileNet v2 at almost 400 frames per second.

Operating temp: -40 to +85°C (recommended: -20°C - 70°C)

Dimensions: 15.0 x 10.0 x 1.5 mm

Weight: 0.67g

Chipset: Google Edge TPU and PMIC

Mounting type: SMT (surface mount), 120-pin LGA

Reel information: 1000 pieces per reel. approximate weight: 1.09 kg

MSL rating: MSL 3 (JEDEC Standard J-STD-020). Tape and reel must be sealed with the provided anti-humidity plastic bag.

After the packing is opened, it should be stored at ≤30 °C / ≤60% RH, and used within 168 hours.

When the color of the humidity indicator on the packing changes, the product should be baked before soldering.

Interface: PCIe Gen 2 or USB 2.0. USB 3.0 available on request (requires special design considerations)

Power supply (VIN): 3.1 V - 3.63 V (typical: 3.3 V). Average current drawn is typically less than 500 mA, but can reach up to 3A during inferencing.

Note: PMIC Digital I/O power supply can be supplied with 1.7V min, typical 1.8V.

Refer to the datasheet for more in-depth information on current transients.

Software support: Requires 64-bit versions of Debian 10 or Ubuntu 16.04 or newer, x86-64 or ARMv8 system architectures. Supports Windows 10 64-bit on x86-64 as well. Requires the Edge TPU runtime and Coral PCIe driver.

RoHS compliant: yes

Availability: Australia, European Union (except Czech Republic), Ghana, Hong Kong, India, Indonesia, Israel, Japan, Kenya, Malaysia, New Zealand, Oman, Philippines, Singapore, South Korea, Taiwan, Thailand, United States, Vietnam

Note: this is a module to be designed into your own PCB designs.

To increase performance, you can use several of the Coral accelerator modules in parallel or in a serial setup (depending on your ML model).

We can advise you and support you with hardware and software engineering services, should that become necessary.

Google part number: G313-06329-00

Asus part number: 90AN01G0-B0XAY0

Datasheet & Benchmarks

• Download Coral Accelerator Module datasheet (PDF)
  • note: contact us to request the datasheet with the USB 3.0 details
• Edge TPU performance benchmarks