M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key)
*Price sourced from Amazon.com. Last updated 2026-07-06. Price and availability subject to change.
Bottom line: The M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key) is a niche pick — read recent reviews before buying in the ai accelerators category, priced around $83.99. Read recent reviews carefully before committing.
The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module (E-key) that includes two Edge TPU ML accelerators, each with their own PCIe Gen2 x1 interface. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one Edge TPU can 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…
SpecPicks Verdict
SpecPicks classifies M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key) as a niche pick — read recent reviews before buying in the ai accelerators category, based on our editorial and benchmark analysis and our ranking model that weights rating × review-volume × price-fit. Google Coral's positioning sits within the broader category mid-tier. Use the Compare tool to put it side-by-side with two or three close alternatives before clicking through to Amazon.
Common buyer scenarios for ai accelerators of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the Amazon listing before purchase. Prices, stock, and Prime eligibility update directly from Amazon's catalog and may have moved since this page was last verified.
Pros & Cons
Pros
- ✓ 2x PCIe Gen2 x1 interface (one per Edge TPU)
- ✓ Backed by Google Coral's warranty and support channels
- ✓ Ships via Amazon with Prime eligibility and the standard returns policy
Cons
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, and Prime eligibility update from Amazon and may have changed since this page was last verified
Key Features
- 2x PCIe Gen2 x1 interface (one per Edge TPU)
- M.2 - 2230 - D3 - E KEY
- 2x Google Edge TPU ML accelerator
- 8 TOPS total peak performance (int8)
- 2 TOPS per watt
Full Specifications
| ASIN | B08KTSGN7F |
|---|---|
| Brand | Google Coral |
| Item Weight | 0.634 ounces |
| Manufacturer | Google Coral |
| Model Number | G650-06076-01 |
| Item model number | G650-06076-01 |
| Product Dimensions | 2 x 2 x 1 inches |
| Date First Available | January 2, 2020 |
Ready to buy?
M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key) is available on Amazon with Prime shipping and the full Amazon returns policy. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-07-06. Price and availability subject to change.
Related AI Accelerators
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
- Best Retro Handhelds in 2026 — From $35 to $500
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- Best 1440p Gaming GPUs in 2026
- How to Build a Windows 98 Retro PC in 2026
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
More reviews from the SpecPicks archive
Browse all reviews →- How Fast Is Local LLM Inference on a Ryzen 7 5800X (CPU-Only, No GPU)?
- Best Webcam for Twitch Streaming on a Budget in 2026
- Raspberry Pi 4 8GB as a Jellyfin Media Server: Real Limits
- Intel Core Ultra X7 Panther Lake Performance on Linux 7.1
- Best Gaming CPUs for 1080p and 1440p Builds (2026)
- ROCm in 2026: Is AMD Finally a Real Local-LLM Option?
- Run Local LLMs on a Ryzen 5 5600G With No GPU (2026)
- LattePanda Sigma Review (2026): The x86 SBC That Breaks the Pi Pattern
- Home Assistant on a Raspberry Pi 4 8GB: 2026 Smart-Home Hub Build
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 3090
- How to run Qwen 3 32B on NVIDIA GeForce RTX 5080
- Ryzen 7 5800X vs 5700X: Best 8-Core AM4 CPU 2026
- Best GPU for AI code generation in 2026
- Loading Sega Genesis Games Off a Vinyl Record
- Modern PC Builds vs Period-Correct Retro Rigs: A 2026 Comparison
- Raspberry Pi OS Gets a Desktop Refresh: What Changes for Pi 4 Users
- VibeThinker-3B on an RTX 3060 12GB: Reasoning in 3 Billion Params
- Best PC Game Controllers in 2026: 5 Picks From Budget to Fight Stick
- Best SATA SSD for a Retro Windows XP or 98 Build (2026)
- Best NVMe SSD for PC Gaming Builds in 2026
- Best PlayStation Controller for PC Gaming in 2026
- Run Text-to-SQL Locally on a 12GB GPU After Gemini-SQL2
- Intel Panther Lake on Linux: First Core Ultra X7 Numbers Land
- AMD RX 9070 XT Hits All-Time Low $629 in Amazon Lightning Sale