Google Coral Dev Board
GoogleA single-board computer from Google's Coral platform that pairs a removable System-on-Module (NXP i.MX 8M SoC) with a baseboard and integrates Google's Edge TPU ASIC. The Edge TPU delivers 4 TOPS at about 2 TOPS/watt, accelerating int8-quantized TensorFlow Lite models for local inference. It is aimed at prototyping edge AI that can scale to production by reusing the SoM. The Edge TPU is designed and supplied by Google.
Verified live 2026-06-22 via primary sources. Public datasheet and open runtime/TFLite path, but the Edge TPU silicon and the model compiler are proprietary closed binaries.
Openness
3 high confidence- schematics
- none (no full board files)
- toolchain
- partial (open runtime (libedgetpu) + TFLite, closed Edge TPU compiler)
- datasheets
- public
- blobs
- required (proprietary Edge TPU ASIC + closed compiler)
- retail
- open_market (broadly purchasable)
Public datasheet and open runtime/TFLite path, but the Edge TPU silicon and the model compiler are proprietary closed binaries.
- https://coral.ai/docs/dev-board/datasheet/ recorded 2026-06-22
datasheet: 4 TOPS, 2 TOPS/W, SoM form factor, TFLite, Google-designed Edge TPU
- https://github.com/google-coral/libedgetpu recorded 2026-06-22
open source Edge TPU userspace runtime driver
Adoption
4 medium confidenceLong-established, widely distributed edge-AI dev platform with an active google-coral GitHub org; the older edgetpu repo was archived April 2026 with libedgetpu now maintained.
- https://github.com/google-coral/libedgetpu recorded 2026-06-22
maintained official runtime repo; broad ecosystem
Capability
2 high confidenceModest 4 TOPS limited to int8 TFLite models; suited to small CNN inference rather than large or generative models.
- https://coral.ai/docs/dev-board/datasheet/ recorded 2026-06-22
4 TOPS, 2 TOPS/W, TFLite-focused Edge TPU
Unchanged since 2026-08-01 (last edited, not re-checked)