--- product_id: 556175040 title: "seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers" brand: "seeed studio" price: "R$2125" currency: BRL in_stock: true reviews_count: 6 category: "Seeed Studio" url: https://www.desertcart.com.br/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi store_origin: BR region: Brazil --- # 4 TOPS ultra-fast ML inference 2 TOPS per watt energy efficiency USB 3.0 Type-C plug & play seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers **Brand:** seeed studio **Price:** R$2125 **Availability:** ✅ In Stock ## Summary > 🚀 Supercharge your edge AI — because waiting is so 2020. ## Quick Answers - **What is this?** seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers by seeed studio - **How much does it cost?** R$2125 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.br](https://www.desertcart.com.br/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi) ## Best For - seeed studio enthusiasts ## Why This Product - Trusted seeed studio brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Energy-Smart Edge Computing:** Delivers 2 TOPS per watt, maximizing performance without draining power. - • **Plug & Play Across Platforms:** Seamlessly connects via USB-C to Raspberry Pi, macOS, Windows, and Debian Linux systems. - • **Custom Vision Models Made Easy:** Leverage AutoML Vision Edge to create and deploy high-precision image classifiers locally. - • **Blazing Fast AI at Your Fingertips:** Harness 4 trillion operations per second for near-instant ML inference. - • **Pre-Built TensorFlow Lite Compatibility:** Skip the hassle—run optimized models out of the box for rapid deployment. ## Overview The Seeed Studio Coral USB Accelerator is a compact, energy-efficient Edge TPU coprocessor that plugs into any USB 3.0 Type-C port, delivering blazing-fast TensorFlow Lite ML inferences at 4 TOPS with just 2 watts of power. Compatible with major platforms including Raspberry Pi, macOS, Windows, and Debian Linux, it enables low-latency, private, and offline AI processing. Perfect for professionals seeking cutting-edge edge computing performance with effortless integration and support for custom AutoML Vision models. ## Description The integrated Edge TPU is a small Google-designed ASIC that speeds up TensorFlow Lite models in an energy-efficient manner: it is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power, that's 2 TOPS per watt. For example, an Edge TPU can run next-generation mobile viewing models, such as MobileNet v2 at nearly 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and eliminates the need for a constant internet connection. The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferences across a wide range of systems, simply by plugging it into a USB port. Performs high-speed ML inferences The integrated Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, you can run next-generation mobile vision models, such as MobileNet v2 at nearly 400 FPS, in an energy-efficient manner. See more performance benchmarks. Compatible with all major platforms Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS or Windows 10. Supports TensorFlow Lite. No need to build models from scratch. TensorFlow Lite models can be compiled to run on Edge TPU. Review: Perfect for frigate - Hard to get one now, works perfectly with proxmox inside lxc running frigate. Review: Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos. ## Features - Performs high-speed ML inferences: high-speed TensorFlow Lite inference with low power, small footprint, local inferences - Supports all major platforms - Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS or Windows 10 - Supports TensorFlow Lite: No need to build models from scratch. Tensorflow Lite models can be compiled to run on TPE edge - Supports AutoML Vision Edge - Easily create and deploy fast, high-precision custom image classification models at the edge. - Compatible with Google Cloud ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B0CDGT75SH | | Best Sellers Rank | 119,650 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,310 in Motherboards | | Box Contents | / | | Brand Name | seeed studio | | CPU Model | Core i7 | | Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS | | Customer Reviews | 4.0 4.0 out of 5 stars (200) | | Item Dimensions L x W x H | 13.9L x 10.1W x 3.3H centimetres | | Manufacturer | seeed studio | | Manufacturer Part Number | 114991790-FA | | Memory Storage Capacity | 16 KB | | Model Name | Coral USB Accelerator | | Model Number | 114991790-FA | | Network Connectivity Technology | USB 3.0 | | Operating System | Debian Linux, macOS, Windows 10 | | Processor Brand | ARM | | Processor Count | 1 | | Processor Speed | 4 GHz | | RAM Memory Technology | DDR4 | | Smart Home Compatibility | Not Smart Home Compatible | | Total USB Ports | 1 | | Unit Count | 1.0 count | ## Product Details - **Brand:** seeed studio - **CPU model:** Core i7 - **CPU speed:** 4 GHz - **Memory storage capacity:** 16 KB - **Model name:** Coral USB Accelerator ## Images ![seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers - Image 1](https://m.media-amazon.com/images/I/41ahuMC2x2L.jpg) ## Available Options This product comes in different **Size** options. ## Customer Reviews ### ⭐⭐⭐⭐⭐ Perfect for frigate *by M***L on 29 July 2025* Hard to get one now, works perfectly with proxmox inside lxc running frigate. ### ⭐ Review *by R***K on 7 May 2025* Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos. ### ⭐⭐⭐⭐⭐ Review *by R***N on 12 April 2024* I am thoroughly impressed with the Coral USB Accelerator—it's truly a game-changer for AI camera systems! As a developer working extensively with AI applications for surveillance and monitoring, this device has exceeded all my expectations. Firstly, the setup was incredibly straightforward. I simply plugged the Coral USB Accelerator into my existing camera system and connected it to my development environment. Within minutes, I was up and running, ready to integrate powerful AI capabilities into my cameras. The performance is exceptional. The Coral USB Accelerator significantly boosts the processing power of my cameras, allowing for real-time object detection, classification, and tracking. Even with multiple cameras running simultaneously, the Coral USB Accelerator handles the workload effortlessly, ensuring smooth and accurate AI inference. What I appreciate most is the versatility of this device. It supports various AI models, allowing me to choose the best one for my specific application. Whether I'm detecting intruders, monitoring traffic patterns, or identifying wildlife, the Coral USB Accelerator adapts seamlessly to different use cases. The compact size of the Coral USB Accelerator is also a big plus. It's portable and doesn't take up much space, making it ideal for both indoor and outdoor installations. The low power consumption is another bonus, ensuring that my camera systems remain energy-efficient. Overall, the Coral USB Accelerator has revolutionized the way I approach AI camera systems. It has enhanced the intelligence and responsiveness of my cameras, enabling more sophisticated and effective surveillance solutions. If you're looking to integrate AI into your camera network, I highly recommend the Coral USB Accelerator—it's a must-have for AI developers and security professionals alike. ## Frequently Bought Together - seeed studio Coral USB Accelerator 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) - Coral M.2 Accelerator with Dual Edge TPU … --- ## 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.com.br/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi](https://www.desertcart.com.br/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi) --- *Product available on Desertcart Brazil* *Store origin: BR* *Last updated: 2026-05-21*