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From WikiChip
Edge TPU - Google
< google
Revision as of 08:41, 1 February 2020 by 24.96.71.178 (talk)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Edit Values | |
Edge TPU | |
General Info | |
Designer | |
Model Number | TPU Edge |
Market | Embedded, Edge Computing |
Introduction | July 25, 2018 (announced) July 25, 2018 (launched) |
General Specs | |
Family | TPU |
Microarchitecture | |
Technology | CMOS |
Packaging | |
Edge TPU is a neural processor designed by Google and introduced in early 2019 for inference acceleration of machine learning at the edge. The Edge TPU supports 16-bit and 8-bit integer operations and can interface with external components over USB or PCIe.
Utilizing devices
- Coral Dev Board
- Coral USB Accelerator
- Dev Board Mini
- Mini PCIe Accelerator
- M.2 Accelerator A+E key
- M.2 Accelerator B+M key
- System-on-Module (SoM)
- Accelerator Module
This list is incomplete; you can help by expanding it.
External links
Facts about "Edge TPU - Google"
back image | + |
designer | Google + |
family | TPU + |
first announced | July 25, 2018 + |
first launched | July 25, 2018 + |
full page name | google/tpu/edge tpu + |
instance of | microprocessor + |
ldate | July 25, 2018 + |
main image | + |
market segment | Embedded + and Edge Computing + |
model number | TPU Edge + |
name | Edge TPU + |
technology | CMOS + |