--- product_id: 341374469 title: "USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers" brand: "google coral" price: "£150.97" currency: GBP in_stock: true reviews_count: 6 category: "Google Coral" url: https://www.desertcart.co.uk/products/341374469-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other store_origin: GB region: United Kingdom --- # 5Gb/s USB 3.1 SuperSpeed Google Edge TPU ML accelerator 100+ fps MobileNet v2 inferencing USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers **Brand:** google coral **Price:** £150.97 **Availability:** ✅ In Stock ## Summary > 🤖 Turbocharge your AI edge with Google’s USB ML Accelerator — because speed and smarts can’t wait! ## Quick Answers - **What is this?** USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by google coral - **How much does it cost?** £150.97 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/341374469-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other) ## Best For - google coral enthusiasts ## Why This Product - Trusted google coral brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Compact Yet Mighty:** Small footprint fits any embedded system without compromising on power or speed. - • **Edge TPU Powerhouse:** Google’s custom ASIC delivers high-performance AI with ultra-low power consumption. - • **Blazing Fast ML Inferencing:** Harness 5Gb/s USB 3.1 for lightning-quick data throughput. - • **Future-Proof AI Flexibility:** Supports MobileNet, Inception, and custom TensorFlow models for versatile AI projects. - • **Seamless Linux Compatibility:** Plug & play with Debian Linux and TensorFlow Lite for effortless AI deployment. ## Overview The Google Coral USB Edge TPU Accelerator is a compact, high-performance ML coprocessor designed to boost AI inferencing on Linux-based embedded systems. Featuring a 5Gb/s USB 3.1 interface and a custom Google Edge TPU ASIC, it runs TensorFlow Lite models like MobileNet v2 at over 100 fps with minimal power usage. Compatible with Debian Linux and Google Cloud, it supports popular AI architectures and custom models, making it an essential tool for professionals seeking efficient, scalable edge AI solutions. ## Description Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way. Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator. Edge TPU key benefits: High speed TensorFlow Lite inferencing Low power Small footprint Features Google Edge TPU ML accelerator coprocessor USB 3.0 Type-C socket Supports Debian Linux on host CPU Models are built using TensorFlow. Fully supports MobileNet and Inception architectures though custom architectures are possible Compatible with Google Cloud Specifications Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed) Included cable is USB Type-C to Type-A Coral, a division of Google, helps build intelligent ideas with a platform for local AI. Review: Works - Good Review: Works great in frigate and significantly reduces CPU usage - Purchased this device from this seller after a previous order from a different seller arrived DOA. Although slightly more expensive, device arrived quickly and haven't had any issues. Using it with Frigate running in a VM on a NUC 12 Pro with 4 cameras. Device works great and performs as promised, reducing CPU usage in the NUC significantly. Would highly recommend it for this purpose. Getting the device flashed, configured, and passing through to the VM is a little tricky and outside of the scope of this review, but for others who intend to use it that way, search for William Lam's guides on this. They're very detailed, easy to follow, and will get you up and running quickly. ## Features - Specifications: Arm 32-bit Cortex-M0+ microprocessor (MCU): up to 32 MHz max 16 KB flash memory with ECC 2 KB RAM connections: USB 3.1 (Gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed) - Features: Google Edge TPU ML acceleration coprocessor, USB 3.0 Type-C female, supports Debian Linux to host CPU, models are built with TensorFlow Supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud - Specifications: Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed) - Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud. - Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Full supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud. ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B07R53D12W | | Best Sellers Rank | #20,382 in Computers ( See Top 100 in Computers ) #1,484 in USB Cables | | Brand | Google Coral | | CPU manufacturer | ARM | | Connectivity Technology | USB | | Connectivity technology | USB | | Customer Reviews | 4.4 out of 5 stars 511 Reviews | | Item Dimensions L x W x H | 7.6L x 5.1W x 2.5H centimeters | | Manufacturer | Google Coral | | Memory Storage Capacity | 16 KB | | Memory storage capacity | 16 KB | | Mfr Part Number | Coral-USB-Accelerator | | Model Number | Coral-USB-Accelerator | | Operating System | Linux | | Operating system | Linux | | Processor Brand | ARM | | Processor Count | 1 | | Processor count | 1 | | Total Usb Ports | 1 | | UPC | 608614201389 | ## Product Details - **Brand:** Google Coral - **CPU manufacturer:** ARM - **Connectivity technology:** USB - **Memory storage capacity:** 16 KB - **Operating system:** Linux ## Images ![USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 1](https://m.media-amazon.com/images/I/61J05USFjaL.jpg) ## Questions & Answers **Q: could this be used to dramatically speed up Hashcat?** A: No, Hashcat don't support the TPU and the TPU wouldn't support hashcat, in theory. The TPU is an ASIC that doesn't even do the right kind of math for password hashing. It's built for Matrix operations for interference training, not low precision parallel integer operations. **Q: Is this only the USB accelerator or the development board?** A: This is the USB accelerator **Q: Can it run on Mac?** A: The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer. **Q: I thought the list price was 59.99, what is up with the scalping?** A: Demand vs supply ## Customer Reviews ### ⭐⭐⭐⭐⭐ Works *by ك***ف on 1 March 2023* Good ### ⭐⭐⭐⭐⭐ Works great in frigate and significantly reduces CPU usage *by R***T on 26 June 2025* Purchased this device from this seller after a previous order from a different seller arrived DOA. Although slightly more expensive, device arrived quickly and haven't had any issues. Using it with Frigate running in a VM on a NUC 12 Pro with 4 cameras. Device works great and performs as promised, reducing CPU usage in the NUC significantly. Would highly recommend it for this purpose. Getting the device flashed, configured, and passing through to the VM is a little tricky and outside of the scope of this review, but for others who intend to use it that way, search for William Lam's guides on this. They're very detailed, easy to follow, and will get you up and running quickly. ### ⭐⭐⭐⭐⭐ Genial con frigate *by F***E on 9 February 2026* Genial ha bajado el uso de la cpu del pc evitando los cuegues de frigate y minimizando las falsas detecciones ## Frequently Bought Together - Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Amcrest 5MP Turret POE Camera, UltraHD Outdoor IP Camera POE with Mic/Audio, 5-Megapixel Security Surveillance Cameras, 98ft NightVision, 132° FOV, MicroSD (256GB), (IP5M-T1179EW-AI-V3) - TP-Link TL-SG1005P, 5 Port Gigabit PoE Switch, 4 PoE+ Ports @65W, Desktop, Plug & Play, Sturdy Metal w/ Shielded Ports, Fanless, QoS & IGMP Snooping,black --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/341374469-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other](https://www.desertcart.co.uk/products/341374469-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-06-23*