|
gptkbp:instanceOf
|
hardware platform
|
|
gptkbp:announced
|
2019
|
|
gptkbp:compatibleWith
|
gptkb:Raspberry_Pi
Apple Store
Windows computers
Linux computers
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:documentation
|
https://coral.ai/docs/
|
|
gptkbp:Edge_TPU
|
low power consumption
ASIC
8 TOPS performance
designed for ML inference
|
|
gptkbp:focusesOn
|
edge AI
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Google Coral
|
|
gptkbp:includes
|
gptkb:Edge_TPU
development boards
PCIe accelerators
USB accelerators
system-on-modules
|
|
gptkbp:language
|
gptkb:JavaScript
gptkb:Python
gptkb:C++
|
|
gptkbp:openSource
|
partial
|
|
gptkbp:operatingSystem
|
gptkb:Debian
gptkb:Linux
|
|
gptkbp:parentCompany
|
gptkb:Alphabet_Inc.
|
|
gptkbp:productType
|
gptkb:microprocessor
PCIe card
Neural Engine
development kit
USB device
camera module
sensor board
system-on-module
|
|
gptkbp:supports
|
gptkb:TensorFlow_Lite
|
|
gptkbp:targetAudience
|
gptkb:researchers
developers
enterprises
|
|
gptkbp:usedFor
|
machine learning inference
|
|
gptkbp:usedIn
|
gptkb:home_automation
IoT devices
industrial automation
robotics
prototyping
edge computing
smart cameras
|
|
gptkbp:website
|
https://coral.ai/
|
|
gptkbp:bfsParent
|
gptkb:TPU
gptkb:Neural_Engine
|
|
gptkbp:bfsLayer
|
6
|