seeed studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and other single board embedded computers
ID del producto: 556175040
Transacción segura
Detalles
- Brandseeed studio
- Model nameCoral USB
- Memory storage capacity16 KB
- Connectivity technologyUSB 3.0
- Included components/
⚡High-speed ML inferencing
🔌USB 3.0 Type-C connectivity
🤖TensorFlow Lite & AutoML Vision Edge support
Comprados juntos con frecuencia
Descripción
🤖 Turbocharge your AI projects with edge-speed inferencing!
- COMPACT POWERHOUSE - Small footprint design means you can embed powerful AI acceleration into any project without sacrificing space or energy efficiency.
- BLAZING FAST EDGE AI - Experience lightning-fast TensorFlow Lite inferencing with ultra-low power consumption—perfect for on-device intelligence without the cloud lag.
- CLOUD READY INTEGRATION - Fully compatible with Google Cloud for scalable workflows—bridge edge inferencing with cloud intelligence like a pro.
- PLUG PLAY VERSATILITY - Seamlessly connects via USB 3.0 Type-C to Raspberry Pi, Debian Linux, macOS, and Windows 10—no compatibility headaches.
- EDGE OPTIMIZED MODEL DEPLOYMENT - Run pre-built TensorFlow Lite models or effortlessly deploy custom AutoML Vision Edge classifiers for tailored, high-accuracy image recognition.
The Seeed Studio Coral USB Accelerator is a compact, low-power coprocessor that delivers high-speed TensorFlow Lite inferencing via USB 3.0 Type-C. Compatible with Raspberry Pi, Debian Linux, macOS, and Windows 10, it supports AutoML Vision Edge for custom image classification and integrates seamlessly with Google Cloud, enabling powerful on-device AI acceleration for embedded systems.
Presupuesto
| RAM | DDR4 |
| Brand | seeed studio |
| Series | Coral USB Accelerator |
| Operating System | Debian Linux, macOS, Windows 10 |
| Item Weight | 3.52 ounces |
| Product Dimensions | 1.97 x 1.97 x 3.94 inches |
| Item Dimensions LxWxH | 1.97 x 1.97 x 3.94 inches |
| Processor Brand | Broadcom |
| Number of Processors | 1 |
| Manufacturer | seeed studio |
| ASIN | B0CDGT75SH |
| Date First Available | August 2, 2023 |
Reseñas
J**G
Bit of a faff
Shoved this in my qnap to speed up the QuMagie AI. Works great shows up as 2 TPU's but had to buy a special multiplexing adapter to an m.2 slot and then also get a m.2 to pci slot card. But that's as much to do with the qnap as the card itself.
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Trustpilot
Trustscore 4.5 | Más de 7,300 reseñas
Me impresionó mucho la calidad y la entrega rápida. Volveré a comprar aquí.
Hace 4 días
El servicio al cliente fue excelente cuando tuve preguntas sobre el producto.
Hace 2 días
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