Asus Tinker Edge T Soc 1.5Ghz Quad Core Cpu, Gc7000 Lite Graphics, 1Gb Lpddr4 & 8Gb Emmc Mini Motherboard
$329.70
Regular price
$471.00
-30%
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Domestic Delivery: Typically 3-5 business days
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Designed For Edge Ai Applications, Asus Tinker Edge T Is A Small, Powerful And Flexible Single Board Computer (Sbc) Features Onboard Ml Accelerator Google Edge Tpu, Optimized For Tensorflow Lite Models, Paired Multiple Connectivity Options And Advanced Power Design
⚠️ WARNING (California Proposition 65): This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, please visit www.P65Warnings.ca.gov.
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Frequently Asked Questions
Q: What are the key features of the ASUS Tinker Edge T motherboard?A: The ASUS Tinker Edge T motherboard is designed for edge AI applications and includes an onboard ML accelerator, the Google Edge TPU, which is optimized for TensorFlow Lite models. It features a Quad-core ARM Cortex-A53 CPU, integrated GC7000 Lite Graphics, 1GB LPDDR4 memory, and 8GB eMMC storage. Multiple connectivity options, including dual MIPI CSI and HDMI port, enhance its versatility.
Q: Is the ASUS Tinker Edge T compatible with various peripheral devices?A: Yes, the ASUS Tinker Edge T motherboard is compatible with a variety of peripheral devices. It supports dual MIPI CSI for connecting cameras, a DSI touch panel, HDMI for display output, and a USB 3.2 Gen 1 port for data transfer, making it highly adaptable for different applications.
Q: What are the power requirements for the ASUS Tinker Edge T?A: The ASUS Tinker Edge T has a wide-range DC input requirement, supporting voltages from 12V to 19V. Additionally, it features a power-protection design to ensure safe operation during use.
Q: How can I use the ASUS Tinker Edge T for machine learning applications?A: The ASUS Tinker Edge T is optimized for machine learning applications, particularly with TensorFlow Lite models. By leveraging its onboard Google Edge TPU, users can achieve high-performance ML inferencing suitable for various AI tasks. It is ideal for developers working on edge AI solutions.
Q: What dimensions and weight should I consider for the ASUS Tinker Edge T?A: The ASUS Tinker Edge T motherboard has compact dimensions of 3.37 inches in length and 2.12 inches in width, with a lightweight design of approximately 0.45 pounds. This makes it suitable for projects where space and weight are critical factors.
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