--- product_id: 627674247 title: "Coral M.2 Accelerator with Dual Edge TPU …" brand: "seeed studio" price: "SAR 5" currency: SAR in_stock: true reviews_count: 13 url: https://www.desertcart.com.sa/products/627674247-coral-m-2-accelerator-with-dual-edge-tpu store_origin: SA region: Saudi Arabia --- # 8 TOPS peak performance 2 TOPS per watt power efficiency Dual PCIe Gen2 x1 interfaces Coral M.2 Accelerator with Dual Edge TPU … **Brand:** seeed studio **Price:** SAR 5 **Availability:** ✅ In Stock ## Summary > 🚀 Double the TPU, double the AI power — accelerate your edge computing game! ## Quick Answers - **What is this?** Coral M.2 Accelerator with Dual Edge TPU … by seeed studio - **How much does it cost?** SAR 5 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.sa](https://www.desertcart.com.sa/products/627674247-coral-m-2-accelerator-with-dual-edge-tpu) ## 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 - • **TensorFlow Lite Ready:** Run cutting-edge ML models instantly without rebuilding from scratch. - • **Power-Savvy Performance:** Maximize efficiency with 2 TOPS per watt, keeping your system cool and green. - • **Seamless OS Integration:** Plug-and-play support for Debian Linux and Windows 10 ensures smooth deployment. - • **Blazing Fast ML Inferencing:** Harness 8 trillion operations per second with dual Edge TPUs for lightning-quick AI insights. - • **Custom AI at Your Fingertips:** Leverage AutoML Vision Edge to create and deploy high-accuracy custom image classifiers effortlessly. ## Overview The Coral M.2 Accelerator with Dual Edge TPU is a compact M.2 module featuring two Google-designed Edge TPU coprocessors, delivering a combined 8 TOPS of ML inferencing power at just 4 watts total. It supports Debian Linux and Windows 10, accelerates TensorFlow Lite models, and enables custom AI model deployment via AutoML Vision Edge. Ideal for professionals seeking ultra-fast, power-efficient on-device machine learning with minimal latency and enhanced data privacy. ## Description desertcart.com: Coral M.2 Accelerator with Dual Edge TPU … : Electronics Review: Purpose built for Frigate object detection — flawless on Proxmox - Picked up the Coral M.2 Dual Edge TPU specifically to offload Frigate NVR object detection from the host CPU and it has transformed the setup completely. Running Frigate on Proxmox with multiple camera streams and the Coral handles the inferencing load without breaking a sweat — detection latency dropped dramatically and CPU utilization on the Proxmox host went from uncomfortably high during active detection to nearly negligible. The dual Edge TPU is the right spec for a multi-camera Frigate deployment. Single TPU units hit their limits when you're running enough camera streams with active object detection — the dual TPU handles the parallel inferencing load that a serious NVR setup generates without queuing delays that cause missed detections on fast moving objects. Passthrough to the Frigate LXC or VM on Proxmox works correctly once the PCIe passthrough is configured properly. Driver installation on the container side is straightforward following the Coral documentation and Frigate recognizes the device cleanly on startup without any manual configuration beyond pointing the detector config at the right device path. Detection accuracy and speed on the Coral versus pure CPU inference is not a subtle difference — it's a completely different experience. Person, vehicle, and animal detection on multiple simultaneous streams with sub-100ms latency is what a proper NVR setup should deliver and the Coral makes that possible without dedicated GPU hardware. For anyone running Frigate on Proxmox or similar homelab NVR setups, the Coral M.2 Dual Edge TPU is the upgrade that makes everything else click into place. Highly recommended without reservation. Review: Does the job / fast computer vision AI - Works well with blueiris but you definitely want to get pci base card to make it work, even though computer had wifi card socket , this one didn't work with it , I had to order compatible adapter. ## Features - Performs high-speed ML inferencing: Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs. - Works with Debian Linux and Windows: Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot. - Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. - Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Description ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B0CY231Q61 | | Best Sellers Rank | #3,904 in Single Board Computers (Computers & Accessories) | | Brand | seeed studio | | Built-In Media | / | | CPU Model | Google Tensor | | Compatible Devices | Devices with a compatible card module slot and support for Debian Linux or Windows 10 | | Connectivity Technology | PCIe | | Customer Reviews | 4.2 out of 5 stars 86 Reviews | | Included Components | / | | Manufacturer | seeed studio | | Mfr Part Number | 102110449-FA | | Model Name | Coral M2 Accelerator with Dual Edge TPU | | Model Number | Coral M.2 | | Number of Items | 1 | | Number of Packs | 1 | | Operating System | Debian-based | | Processor Count | 2 | | RAM Memory Technology | LPDDR4 | | Total Usb Ports | 1 | | Unit Count | 1 Count | | Warranty Description | 2 year | | Wireless Compability | Bluetooth | ## Product Details - **Brand:** seeed studio - **CPU Model:** Google Tensor - **Connectivity Technology:** PCIe - **Included Components:** / - **Model Name:** Coral M2 Accelerator with Dual Edge TPU ## Images ![Coral M.2 Accelerator with Dual Edge TPU … - Image 1](https://m.media-amazon.com/images/I/61GAqi4CkaL.jpg) ![Coral M.2 Accelerator with Dual Edge TPU … - Image 2](https://m.media-amazon.com/images/I/51NqTWAEWAL.jpg) ![Coral M.2 Accelerator with Dual Edge TPU … - Image 3](https://m.media-amazon.com/images/I/61M9kToShBL.jpg) ![Coral M.2 Accelerator with Dual Edge TPU … - Image 4](https://m.media-amazon.com/images/I/61TkyKRludL.jpg) ![Coral M.2 Accelerator with Dual Edge TPU … - Image 5](https://m.media-amazon.com/images/I/61i42Ub8asL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Purpose built for Frigate object detection — flawless on Proxmox *by J***E on July 23, 2026* Picked up the Coral M.2 Dual Edge TPU specifically to offload Frigate NVR object detection from the host CPU and it has transformed the setup completely. Running Frigate on Proxmox with multiple camera streams and the Coral handles the inferencing load without breaking a sweat — detection latency dropped dramatically and CPU utilization on the Proxmox host went from uncomfortably high during active detection to nearly negligible. The dual Edge TPU is the right spec for a multi-camera Frigate deployment. Single TPU units hit their limits when you're running enough camera streams with active object detection — the dual TPU handles the parallel inferencing load that a serious NVR setup generates without queuing delays that cause missed detections on fast moving objects. Passthrough to the Frigate LXC or VM on Proxmox works correctly once the PCIe passthrough is configured properly. Driver installation on the container side is straightforward following the Coral documentation and Frigate recognizes the device cleanly on startup without any manual configuration beyond pointing the detector config at the right device path. Detection accuracy and speed on the Coral versus pure CPU inference is not a subtle difference — it's a completely different experience. Person, vehicle, and animal detection on multiple simultaneous streams with sub-100ms latency is what a proper NVR setup should deliver and the Coral makes that possible without dedicated GPU hardware. For anyone running Frigate on Proxmox or similar homelab NVR setups, the Coral M.2 Dual Edge TPU is the upgrade that makes everything else click into place. Highly recommended without reservation. ### ⭐⭐⭐⭐⭐ Does the job / fast computer vision AI *by G***. on April 3, 2026* Works well with blueiris but you definitely want to get pci base card to make it work, even though computer had wifi card socket , this one didn't work with it , I had to order compatible adapter. ### ⭐⭐⭐⭐⭐ Good purchase *by N***B on July 24, 2026* Works like a charm! Considering “die” size, compute is incredible ## Frequently Bought Together - Coral M.2 Accelerator with Dual Edge TPU … - 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) --- ## 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.sa/products/627674247-coral-m-2-accelerator-with-dual-edge-tpu](https://www.desertcart.com.sa/products/627674247-coral-m-2-accelerator-with-dual-edge-tpu) --- *Product available on Desertcart Saudi Arabia* *Store origin: SA* *Last updated: 2026-10-14*