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Месяц | Минимальная цена | Макс. стоимость | Цена |
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Sep-18-2025 | 0.72 руб. | 0.86 руб. | 0 руб. |
Aug-18-2025 | 0.72 руб. | 0.76 руб. | 0 руб. |
Jul-18-2025 | 0.40 руб. | 0.68 руб. | 0 руб. |
Jun-18-2025 | 0.45 руб. | 0.86 руб. | 0 руб. |
May-18-2025 | 0.33 руб. | 0.94 руб. | 0 руб. |
Apr-18-2025 | 0.98 руб. | 0.41 руб. | 0 руб. |
Mar-18-2025 | 0.10 руб. | 0.90 руб. | 0 руб. |
Feb-18-2025 | 0.59 руб. | 0.23 руб. | 0 руб. |
Jan-18-2025 | 0.97 руб. | 0.41 руб. | 0 руб. |
Описание товара
ASUS Tinker Edge T Development Board NXP i.MX 8M Google Edge TPU
AI accelerator (Edge TPU) Tinker Edge T is a single board computer (SBC) designed for AI applications. Equipped with machine learning (ML) accelerator Google Edge TPU, it can accelerate processing efficiency, reduce power requirements and easily establish connected devices and smart applications. Tinker Edge T is equipped with a built-in ML accelerator, which can perform up to 4 teraflops (TOPS) per second, using only 0.5W per computing unit. It also optimizes the TensorFlow Lite model so that it can easily compile and execute general ML models. NXP i.MX 8M processor Tinker Edge T is equipped with a powerful ARM quad-core NXP i.MX 8M processor, which can provide powerful graphics, machine vision, video, sound, sound and security application solutions. Tinker Edge T is equipped with 1GB of LPDDR4 dual-channel memory, 4th generation low-power DDR DRAM memory technology, showing faster speed and lower power consumption to improve system performance and efficiency. Tinker Edge T also has a built-in 8GB eMMC and SD 3.0 interface, providing significantly faster operating system, application and file storage read and write speeds. Advanced power supply design Most SBC motherboards only provide a 15W (5V 3A) power supply design. When multiple devices are connected, it will cause instability of the device and system. Other SBC power supply designs will reduce the performance of its I / O ports. Tinker Edge T has a special power supply design, with DC power supply, can provide up to 45W of power, even in the case of connecting multiple devices, it can show stable system operation and complete I / O performance. In addition, if there are obvious changes in the current and voltage supplied, a dedicated power supply protection design will be automatically activated to effectively protect the circuit board and all connected devices. Connectivity Tinker Edge T is equipped with various I / O interfaces, including a display and touch screen MIPI-DSI connection and two compatible cameras MIPI-CSI connection, which can realize computer vision of application programs, such as depth measurement, vending machine two Dimension code payment system and interactive advertising. Tinker Edge T has a humanized design and provides many well-thought-out functions, which can bring a better experience for first-time installers and experienced amateurs. Programmable LEDs allow installers to develop custom lighting behaviors, such as system notifications and status pointers, and color coded GPIO headers make it easier to identify their respective Pin headers. Tinker Edge T also has a full-size HDMI interface, USB Type-A, USB Type-C, Gigabit LAN, and integrated Wi-Fi and Bluetooth for Internet and network connections. Heat sink included Tinker Edge T contains active heat sinks to help improve heat dissipation in heavy workloads or hot environments. Neural network tools designed for users Asus provides robust APIs and SDKs that enable users to easily deploy machine learning models as applications on Tinker Edge T, such as image classification and object detection. OS refresh tool Tinker Edge T is equipped with a cross-platform OS refresh tool, which can refresh simple pictures to SD card and U disk, allowing you to quickly start and run the system. Enhanced OS interface The intuitive software interface allows people to easily browse the functions of Tinker Edge T, and the shortcut keys allow people to quickly and easily access common user functions.
Product parameters: Edge TPU module SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core, GC7000 Lite 3D GPU ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS System Memory – 1 GB LPDDR4 RAM Storage – 8 GB eMMC Flash memory Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2 Baseboard Storage – MicroSD card slot Networking – Gigabit Ethernet port (via RTL8211F-CG) Video Output – MIPI DSI connector, and HDMI output up to 4K with CEC support Camera I/F – 2x MIPI CSI 2 interfaces for stereoscopic camera applications USB – 2x USB 3.2 gen1 ports, 1x USB-C 3.2 gen1 port Expansion – 40-pin Raspberry Pi compatible color-coded header with GPIO, I2C, PWM, UART, SPI, I2S, etc… Misc – Programmable LEDs Power Supply – 12-19V DC input (up to 45 Watts) Dimensions – 85x56mm
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