Product Information

G650-04474-01

G650-04474-01 electronic component of Coral

Datasheet
System-On-Modules - SOM A fully-integrated system for accelerated ML applications includes CPU GPU Edge TPU Wi-Fi Bluetooth and Secure Element in a 40mm x 48mm pluggable module

Manufacturer: Coral
This product is classified as Large/Heavy, additional shipping charges may apply. A customer service representative may contact you after ordering to confirm exact shipping charges



Price (USD)

1: USD 123.1535 ea
Line Total: USD 123.1535

0 - Global Stock
MOQ: 1  Multiples: 1
Pack Size: 1
Availability Price Quantity
0 - Global Stock


Ships to you between Thu. 04 Apr to Wed. 10 Apr

MOQ : 1
Multiples : 1
1 : USD 196.025
5 : USD 194.0625
10 : USD 192.125
25 : USD 190.2
50 : USD 188.3
100 : USD 186.4125
500 : USD 184.55
1000 : USD 182.7
5000 : USD 180.875

0 - Global Stock


Ships to you between Wed. 10 Apr to Fri. 12 Apr

MOQ : 1
Multiples : 1
1 : USD 123.1535

     
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System-on-Module datasheet Version 1.11 Features NXP iMX 8M SoC Quad-core ARM Cortex-A53, plus Cortex-M4F 2D/3D Vivante GC7000 Lite GPU a nd VPU Google Edge TPU ML accelerator Cryptographic coprocessor Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5 GHz) Bluetooth 4.2 8 or 16 GB eMMC 1, 2, or 4 GB LPDDR4 USB 3.0 Gigabit Ethernet HDMI and MIPI-DSI MIPI-CSI-2 Up t o 95x GPIO (including SPI, I2C, PWM, UART, SAI, a nd SDIO) Description The Coral System-on-Module (SoM) is a fully-integrated s ystem that helps you build embedded systems that d emand fast machine learning (ML) inferencing. It contains NXP s i MX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google s Edge TPU coprocessor. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power ecient manner: it s capable of performing 4 trillion operations per second ( 4 TOPS), using 2 watts of powerthat s 2 TOPS per watt. For example, the Edge TPU c an execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. Key b enets of the SoM: High-speed a nd low-power ML inferencing (4 TOPS 2 W) A complete Linux s ystem (running Mendel, a Debian derivative) Small f ootprint (40 x 48 mm) The SoM is also included in the C oral D ev Board, which is a single-board computer that enables f ast prototyping and evaluation of the standalone SoM. Coral.ai C opyright 2019 Google LLC. System-on-Module d atasheet v1.11 G650-04474-01 / G 650-05369-01 / G650-05370-01 Ordering information Part number Description G650-04474-01 Coral System-on-Module w ith 1 G B R AM ( 8 G B e MMC) G650-05369-01 Coral S ystem-on-Module w ith 2 G B R AM (8 G B e MMC) G650-05370-01 Coral S ystem-on-Module w ith 4 G B R AM (16 GB e MMC) Coral.ai Copyright 2019 Google LLC. 2

Tariff Desc

8542.31.00 63 No Hybrid integrated circuits

Electronic integrated circuits: Processors and controllers, whether or not combined with memories, converters, logic circuits, amplifiers, clock and timing circuits, or other circuits
Monolithic integrated circuits, Digital:
Coral
GOOGLE
Google LLC

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