--- 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: "€ 206.03" currency: EUR in_stock: true category: "Google Coral" url: https://www.desertcart.at/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry store_origin: AT region: Austria --- # 100+ fps ML inferencing speed USB 3.1 Gen 1 SuperSpeed 5Gb/s Edge TPU ML accelerator coprocessor Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers **Brand:** google coral **Price:** € 206.03 **Availability:** βœ… In Stock ## Summary > πŸš€ Turbocharge your AI projects with Google Coral’s USB Edge TPU! ## 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?** € 206.03 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/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€’ **Plug & Play with Linux:** Native Debian Linux support for hassle-free integration on Raspberry Pi and SBCs. - β€’ **Blazing Fast ML Inferencing:** Run MobileNet v2 at 100+ fps for real-time AI insights. - β€’ **Seamless USB 3.1 Connectivity:** SuperSpeed 5Gb/s USB Type-C interface for lag-free data transfer. - β€’ **Power-Efficient AI Acceleration:** Low power consumption keeps your projects green and efficient. - β€’ **TensorFlow-Ready & Cloud Compatible:** Build and deploy custom AI models effortlessly with TensorFlow and Google Cloud. ## Overview The Google Coral USB Edge TPU Accelerator is a compact, high-performance ML coprocessor designed to deliver blazing fast, power-efficient inferencing on Linux-based embedded systems like Raspberry Pi. Featuring a 32 MHz ARM Cortex-M0+ MCU and a USB 3.1 Gen 1 interface, it supports TensorFlow Lite models including MobileNet and Inception architectures, enabling real-time AI applications with seamless Google Cloud compatibility. ## 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 | #28,121 in Computers ( See Top 100 in Computers ) #1,946 in USB Cables | | Brand | Google Coral | | Compatible Devices | Raspberry Pi | | Connectivity Technology | USB | | Customer Reviews | 5.0 5.0 out of 5 stars (3) | | Item Dimensions L x W x H | 7.6L x 5.1W x 2.5H centimeters | | Manufacturer | Google Coral | | Memory Storage Capacity | 16 KB | | Mfr Part Number | Coral-USB-Accelerator | | Model Name | Coral-USB-Accelerator | | Model Number | Coral-USB-Accelerator | | 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 - **CPU speed:** 32 MHz - **Installed RAM memory size:** 2 KB - **Memory storage capacity:** 16 KB - **Model name:** Coral-USB-Accelerator ## 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 ## 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.at/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry](https://www.desertcart.at/products/341374469-google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry) --- *Product available on Desertcart Austria* *Store origin: AT* *Last updated: 2026-09-19*