--- product_id: 341374469 title: "Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers" brand: "google coral" price: "NZ$452" currency: NZD in_stock: true reviews_count: 6 url: https://www.desertcart.nz/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry store_origin: NZ region: New Zealand --- # 100+ FPS inferencing speed USB 3.1 Gen 1 SuperSpeed 5Gb/s Edge TPU ML accelerator chip Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers **Brand:** google coral **Price:** NZ$452 **Availability:** βœ… In Stock ## Summary > πŸš€ Supercharge your AI projects with Google's Edge TPU power! ## 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?** NZ$452 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.nz](https://www.desertcart.nz/products/341374469-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 - β€’ **TensorFlow Lite Ready:** Effortlessly deploy custom AI models with full TensorFlow support. - β€’ **Cloud-Compatible Edge AI:** Integrates smoothly with Google Cloud for scalable AI workflows. - β€’ **Power-Efficient AI Boost:** High performance with minimal power drawβ€”ideal for embedded systems. - β€’ **Blazing Fast ML Inferencing:** Run MobileNet v2 at 100+ FPS for real-time AI insights. - β€’ **Seamless USB 3.1 Connectivity:** Plug & play with superfast 5Gb/s data transfer speeds. ## Overview The Google Coral USB Edge TPU Accelerator is a compact, low-power USB 3.1 device that delivers blazing fast machine learning inferencing on Linux systems. Powered by Google's custom Edge TPU ASIC and an ARM Cortex-M0+ MCU, it supports TensorFlow Lite models like MobileNet and Inception at over 100 FPS, enabling real-time AI applications with minimal CPU load. Compatible with Debian Linux and Google Cloud, it’s the perfect AI coprocessor for Raspberry Pi and embedded single board computers. ## 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 | #21,941 in Computers ( See Top 100 in Computers ) #1,603 in USB Cables | | Brand | Google Coral | | CPU manufacturer | ARM | | Connectivity Technology | USB | | Connectivity technology | USB | | Customer Reviews | 4.4 out of 5 stars 512 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 ![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 ### ⭐⭐⭐⭐⭐ Works *by Ωƒ***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, 132Β° 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? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.nz/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry](https://www.desertcart.nz/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry) --- *Product available on Desertcart New Zealand* *Store origin: NZ* *Last updated: 2026-07-01*