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/
⚡4 TOPS ML inferencing speed
🌐Cross-platform Debian/macOS/Win10
🔌USB 3.0 Type-C plug & play
Comprados juntos con frecuencia
Descripción
🚀 Power your projects with lightning-fast AI inferencing—because waiting is so last decade.
- BLAZING FAST EDGE AI - Experience 4 TOPS of TensorFlow Lite inferencing power right on your device—no cloud lag, no compromise.
- PLUG PLAY SIMPLICITY - Get started instantly with zero hassle—no complex setup or model rebuilding required.
- CLOUD READY EDGE INTELLIGENCE - Integrate effortlessly with Google Cloud for scalable, hybrid AI workflows that keep you ahead of the curve.
- UNIVERSAL USB 3 0 COMPATIBILITY - Seamlessly connect to Raspberry Pi, macOS, Windows 10, or any Debian Linux system with a sleek Type-C interface.
- CUSTOM VISION AT YOUR FINGERTIPS - Leverage AutoML Vision Edge to build and deploy high-accuracy image classification models faster than ever.
The Seeed Studio Coral USB Accelerator is a compact, low-power coprocessor delivering 4 TOPS of high-speed TensorFlow Lite inferencing via USB 3.0 Type-C. Compatible with Raspberry Pi and major OS platforms, it supports AutoML Vision Edge for custom image classification and integrates smoothly with Google Cloud, enabling cutting-edge AI at the edge.
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
Gran experiencia desde el pedido hasta la entrega. ¡Muy recomendable!
Hace 1 semana
El servicio al cliente fue excelente cuando tuve preguntas sobre el producto.
Hace 2 días
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