--- product_id: 223302122 title: "SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe" brand: "google coral" price: "586.21 DT" currency: TND in_stock: true category: "Google Coral" url: https://www.desertcart.tn/products/223302122-som-system-on-modules-som-google-edge-tpu-ml-compute store_origin: TN region: Tunisia --- # 4 TOPS inferencing speed 2 TOPS per watt power efficiency Mini PCIe plug & play integration SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe **Brand:** google coral **Price:** 586.21 DT **Availability:** βœ… In Stock ## Summary > πŸš€ Turbocharge your edge AI with Google’s power-efficient ML accelerator! ## Quick Answers - **What is this?** SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe by google coral - **How much does it cost?** 586.21 DT with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.tn](https://www.desertcart.tn/products/223302122-som-system-on-modules-som-google-edge-tpu-ml-compute) ## 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€’ **Power-Savvy Performance:** Achieves 2 TOPS per watt, maximizing efficiency without compromise πŸ”‹ - β€’ **Blazing Fast ML Inferencing:** Delivers 4 trillion operations per second for real-time AI insights ⚑ - β€’ **Seamless System Integration:** Standard half-mini PCIe form factor fits legacy and new systems effortlessly πŸ–₯️ - β€’ **TensorFlow Lite & AutoML Ready:** Run pre-built models or custom AutoML Vision Edge classifiers instantly πŸš€ - β€’ **Plug & Play with Debian & Windows:** Supports Debian 10+, Ubuntu 16.04+, and 64-bit Windows 10 for versatile deployment πŸ’» ## Overview The SOM Google Edge TPU ML Compute Accelerator is a compact, power-efficient module that delivers 4 TOPS of machine learning inferencing via an onboard Edge TPU coprocessor. Compatible with Debian-based Linux and 64-bit Windows 10 systems, it integrates easily through a standard half-mini PCIe slot. Designed for high-speed, low-power AI tasks, it supports TensorFlow Lite models and AutoML Vision Edge for rapid deployment of custom image classification at the edge. ## Description Performs high-speed ML inferencing The on-board 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, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system 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. ## Features - 64-bit version of Debian 10 or Ubuntu 16.04 (or newer) - x86-64 or ARMv8 system architecture - 64-bit version of Windows 10 - x86-64 system architecture ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B0844WRL58 | | Best Sellers Rank | 301,408 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,329 in Network Cards | | Box Contents | SOM Google Edge TPU ML Compute Accelerator board | | Brand Name | Google Coral | | Compatible Devices | Personal Computer | | Customer Reviews | 4.5 4.5 out of 5 stars (21) | | Item Dimensions L x W x H | 27W millimetres | | Manufacturer | Google Coral | | Manufacturer Part Number | G650-04528-01 | | Memory Storage Capacity | 8 GB | | Model Name | SOM Google Edge TPU ML Compute Accelerator | | Model Number | G650-04528-01 | | Network Connectivity Technology | Mini PCIe | | Number of Items | 1 | | Operating System | Linux | | Processor Brand | ARM | | Processor Count | 1 | | RAM Memory Technology | DDR4 | | UPC | 608614202775 | | Wireless Compability | Bluetooth | ## Product Details - **Brand:** Google Coral - **Connectivity technology:** Mini PCIe - **Included components:** SOM Google Edge TPU ML Compute Accelerator board - **Memory storage capacity:** 8 GB - **Model name:** SOM Google Edge TPU ML Compute Accelerator ## Images ![SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 1](https://m.media-amazon.com/images/I/51ggonhJIbL.jpg) ## Frequently Bought Together - SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Ableconn PEX-MP117 Mini PCI-E to PCI-E Adapter Card - Mini PCIe to PCIe Adapter - mPCIe to PCIe - Ideal for Wireless Mini PCI Express Card - GLOTRENDS WA02 Mini PCIe to PCIe X1 WiFi Bluetooth Adapter for Mini PCIe WiFi 4/5/6/6e Module/Coral TPU Module, with 3.5-dBi SMA Antenna Kits --- ## 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.tn/products/223302122-som-system-on-modules-som-google-edge-tpu-ml-compute](https://www.desertcart.tn/products/223302122-som-system-on-modules-som-google-edge-tpu-ml-compute) --- *Product available on Desertcart Tunisia* *Store origin: TN* *Last updated: 2026-11-05*