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🚀 Turbocharge your AI edge with Coral USB Accelerator — speed, simplicity, and smarts in your pocket!
The Seeed Studio Coral USB Accelerator is a compact, energy-efficient Edge TPU coprocessor delivering 4 TOPS of machine learning inference power at just 2 watts. Compatible with major platforms including Raspberry Pi, Windows 10, macOS, and Debian Linux, it connects via USB 3.0 Type-C for instant plug-and-play acceleration of TensorFlow Lite models. Ideal for professionals seeking ultra-fast, privacy-conscious on-device AI processing with easy deployment of custom AutoML Vision Edge models and Google Cloud compatibility.
| ASIN | B0CDGT75SH |
| Best Sellers Rank | 45,631 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,339 in Motherboards |
| Box Contents | / |
| Brand | seeed studio |
| Brand Name | seeed studio |
| CPU Model | Core i7 |
| CPU model | Core i7 |
| CPU speed | 4 GHz |
| Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS |
| Connectivity technology | USB 3.0 |
| Customer Reviews | 4.0 out of 5 stars 203 Reviews |
| 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 |
| Memory storage capacity | 16 KB |
| Model Name | Coral USB Accelerator |
| Model Number | 114991790-FA |
| Model name | Coral USB Accelerator |
| 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 |
M**L
Perfect for frigate
Hard to get one now, works perfectly with proxmox inside lxc running frigate.
R**K
Ninguna de las dos unidades que he comprado funcionan
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.
M**A
Muito portátil e eficaz.
Produto excelente. Usando o Frigate em meu MiniPC i5, antes do Coral ficava com 85% de consumo de CPU. Com o Coral, caiu para 25~30% de consumo. Recomendo bastante aos que usam Frigate.
P**T
Ne fonctionne pas
Le Google Coral n'est pas reconnu sur Aucun de mes OS, j'ai changé de cable, même combat.
A**A
Funciona como dice, pero lento
El tpu funciona como dice pero lo hace de manera lenta, es decir, dota a la raspberry de la capacidad de procesar informacion como el algoritmo YOLO pero eso mismo hace que el procesamiento disminuya, realembete lo hace pero lo hace lento.
E**N
Turn a small "slow" PC into an image processor
This think works great. It's expensive, but it does what I need it to do. Using this with a mini-PC, running Frigate under Ubuntu for video security cameras. It found the device, and offloads the image detection to this, and takes a massive load off the PC. The processing is very quick, so I can get real-time detection and push alerts to my phone within seconds.
Trustpilot
1 month ago
1 week ago