--- product_id: 462766510 title: "Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers" brand: "google coral" price: "$292.49" currency: USD in_stock: true reviews_count: 8 url: https://www.desertcart.us/products/462766510-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry store_origin: US region: United States of America --- # 5Gb/s USB 3.1 Gen 1 speed Google Edge TPU ML acceleration Supports TensorFlow Lite models Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers **Brand:** google coral **Price:** $292.49 **Availability:** ✅ In Stock ## Summary > 🚀 Supercharge your Raspberry Pi with AI at lightning speed! ## Quick Answers - **What is this?** Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by google coral - **How much does it cost?** $292.49 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.us](https://www.desertcart.us/products/462766510-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry) ## 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 - • **TensorFlow-Ready:** Effortlessly deploy custom and standard ML models - • **Compact Powerhouse:** Small footprint with low power consumption for embedded AI - • **Cloud-Compatible AI:** Works smoothly with Google Cloud for scalable solutions - • **Plug & Play USB 3.1 Gen 1:** SuperSpeed 5Gb/s transfer for seamless integration - • **Blazing Fast ML Inferencing:** Run MobileNet v2 at 100+ fps with ultra-low latency ## Overview The Coral USB Edge TPU Accelerator is a compact, low-power USB 3.1 device featuring Google's Edge TPU coprocessor. It delivers high-speed ML inferencing on Linux systems, supporting TensorFlow Lite models like MobileNet and Inception at over 100 fps. Designed for embedded AI applications, it offers seamless integration with Raspberry Pi and Google Cloud, enabling advanced machine learning capabilities with minimal latency and power usage. ## 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. ## 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 | 15,942 in Computers & Accessories (See Top 100 in Computers & Accessories) 189 in Single-Board Computers & Accessories | | Brand Name | Google Coral | | Compatible Devices | Raspberry Pi | | Customer Reviews | 4.1 4.1 out of 5 stars (101) 4.1 out of 5 stars | | Item Dimensions L X W X H | 7.6L x 5.1W x 2.5H centimetres | | Manufacturer | Google Coral | | Manufacturer Part Number | Coral-USB-Accelerator | | Memory Storage Capacity | 16 KB | | Model Name | Coral-USB-Accelerator | | Model Number | Coral-USB-Accelerator | | Network Connectivity Technology | USB | | Operating System | Linux | | Processor Brand | ARM | | Processor Count | 1 | | Processor Speed | 32 MHz | | Ram Memory Installed | 2 KB | | Total Usb Ports | 1 | | Upc | 608614201389 | ## Product Details - **Brand:** Google Coral - **Connectivity technology:** USB - **Memory storage capacity:** 16 KB - **Model name:** Coral-USB-Accelerator - **Operating system:** Linux ## Images ![Google Coral 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 ### ⭐⭐⭐⭐⭐ Sped up my AI and image recognition *by on Reviewed in the United Kingdom 18 August 2026* Made a big difference to the AI and image detection on my Frigate server. Simple to install, but the software can be a bit tricky ### ⭐⭐⭐⭐⭐ Genuinely impressed. *by on Reviewed in the United Kingdom 13 June 2026* Used on RPi5, running Haos and Frigate.I was a little worried about this item because of the large number of 1 star reviews with detailed comment about lack of support and setup issues, and, Amazon's warning of "frequently returned item".However, plugged it in, put detector settings in conf.yaml and off it went after restarting Frigate. The dmesg/lsusb info changed after restarting as shown elsewhere. Inference stats now down at 9mS.I'm a little wary of putting comments here that might be lacking in some way as I've still a lot to learn about this stuff. However I was pleasantly surprised and impressed that it worked so well, so quickly with no debugging.Note the comments on the datasheet that it can get quite warm when working.In case it helps anyone (took a little searching on the net for me), the 'detectors' entry immediately before camera definitions I use is:"detectors:coral:type: edgetpudevice: usb"That's all I did!Hope this helps someone. ### ⭐⭐⭐⭐ Works well but applications seem limited *by on Reviewed in the United Kingdom 10 July 2024* Like 99% of other reviewers, I used the Coral TPU USB with Frigate to offload object inference from the CPU. This it does very well. Amazing that such a small, low cost device can do this but it goes to show how purpose built hardware can be remarkably efficicient at a specific task.I only have a couple of cameras at the moment and the device does not even get warm. Inference speed is slightly disappointing (30ms), but I put this down to the older PC it is running on. EDIT: Switching from USB2 to USB3 port brought inference speed to 8.5ms)Now for the negatives. The device changes USB ID once initialised. This can make virtualisation more difficult or less secure. There seem to be very few applications that make drop-in use of these coral devices. The device is sold as a devloper board, so possibly risks becoming another Google abandon-ware project.Still, it was quite an eye-opener to see what this little device can achieve when compared to the cpu grunt required to do the same. Currently at 65 quid, it's a far more economical proposition than it was a year ago. ## 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.us/products/462766510-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry](https://www.desertcart.us/products/462766510-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry) --- *Product available on Desertcart United States of America* *Store origin: US* *Last updated: 2026-09-20*