Google Coral usb accelerator
Google Coral usb accelerator
3 ,299.00  incl. VAT Add to cart

Google Coral usb accelerator

3 ,299.00  incl. VAT

A USB flash drive that brings Machine Learning to existing systems • Works on Linux, Mac and Windows • Built-in Edge TPU coprocessor capable of up to 4 trillion operations per second (TOPS) • Supports TensorFlow Lite and AutoML Vision Edge

✔️ Easy return with PPL carrier within 14 days.
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The Google Coral USB Accelerator adds a co-processor to your Edge TPU system that enables high-speed machine learning inference on a wide range of systems, simply by plugging it into a USB port.

Google Coral USB acceleration
Google Coral USB acceleration

Performs high-speed ML inference

The integrated Edge TPU coprocessor is capable of 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts per TOPS (2 TOPS per watt). For example, it can run state-of-the-art mobile vision models such as MobileNet v2 at nearly 400 FPS in a power-efficient manner.

It supports all major platforms

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS or Windows 10.

Supports TensorFlow Lite

No need to build models from scratch. TensorFlow Lite models can be compiled to run on the Edge TPU. There is no need to build models from scratch. TensorFlow Lite models can be compiled to run on the Edge TPU.

Technical Specifications

ML AcceleratorGoogle Edge TPU coprocessor:
4TOPS(int8); 2 TOPS per watt
ConnectorUSB 3.0 Type-C* (data/power)
Dimensions65mm x 30mm
AvailabilityAustralia, European Union (except France, Czech Republic), Ghana, Hong Kong, India, Indonesia, Israel, Japan, Kenya, Malaysia, New Zealand, Oman, Philippines, Singapore, South Korea, Taiwan, Thailand, United States, Vietnam

* Compliant with USB 2.0, but the derivation speed is slower.

Documentation

Datasheet USB Accelerator

Brand

Coral

Platforma od Googlu pro místní umělou inteligenci
Coral vám pomůže přenést nápady na aplikace AI na zařízení od prototypu do výroby. Nabízíme platformu hardwarových komponent, softwarových nástrojů a předkompilovaných modelů pro vytváření zařízení s místní umělou inteligencí.

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