Khadas VIM3 Pro Single Board Computer
Hexa-core Amlogic A311D processor with 4x Arm Cortex-A73 @ up to 2.2 GHz and 2x Cortex A53 @ up to 1.8 GHz, Arm Mali-G52 MP4 GPU, integrated Cortex-M4 core for "always on" 5.0 TOPS NPU @ 800 MHz with Tensorflow support, Caffe and other deep learning frameworks
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Great platform for programming - Khadas VIM3 Pro Single Board Computer
The Khadas VIM3 Pro single board computer is essential for development and multimedia applications. It is equipped with a powerful Amlogic S922X processor. This ensures high performance and energy efficiency. Vim3 Pro supports 4K video at 60 frames per second. The device has 4 GB of RAM and 32 GB of built-in flash memory. There is also a microSD card slot.
The computer supports various operating systems, including Android and Linux. The computer is equipped with HDMI, USB and Ethernet interfaces. This allows you to connect many peripheral devices. The device is suitable for creating media players and smart devices. It can also be used to teach programming. The computer has an active developer community. This ensures constant updates and support. The device is compact in size and has low power consumption. Khadas VIM3 Pro is an ideal choice for hobby and professional projects.
Prototyping and the educational sphere
Khadas VIM3 Pro is suitable for IoT device development. It can be used in educational programming projects. The device copes well with machine learning tasks. It is used to create gaming console solutions. You can also develop multimedia applications and games. Khadas VIM3 Pro allows you to prototype new devices. The device is actively used in scientific projects and research. Its capabilities allow you to realize many creative ideas. Khadas VIM3 Pro - an all-in-one solution for developers and enthusiasts
Specifications
- SoC: Amlogic A311D six-core processor with 4 cores. Arm Cortex-A73 @ up to 2.2 GHz and 2 cores. Cortex A53 @ up to 1.8 GHz, GPU. Arm Mali-G52 MP4, embedded Cortex-M4 core for "always on" 5.0 TOPS NPU @ 800 MHz with support for Tensorflow, Caffe and other deep learning frameworks
- MCU: STMicro STM8S003 with programmable EEPROM for power management, boot media configuration
- System memory and storage: 4GB LPDDR4 RAM, 32GB eMMC 5.1 flash
- 16MB SPI flash, microSD card slot supporting up to UHS-I SDR104, M.2 2280 NVMe SSD support
- Camera: 30-pin 0.5mm pitch FPC header for 4-lane MIPI CSI with dual camera support; 8MP ISP
- Gigabit Ethernet with WoL support
- Dual-band 802.11a/b/g/n/ac WiFI 5, 2X2 MIMO with RSDB and Bluetooth 5.0 via Ampak AP6398S module
- USB: 1 USB 3.0/2.0 Type A, 1 USB 2.0 Type A, 1 USB 2.0 OTG Type C with USB PD support
- Sensor: KXTJ3-1057 3-axis digital accelerometer
- Expansion: M.2 connector with single lane PCIe 2.0, USB 2.0, I2S, I2C, ADC, 100M Ethernet PHY interface, GPIO, MCU_PA2
- 40-pin 2.54mm pitch header
- CPU signals: USB, I2C, I2S, SPDIF, UART, PWM, ADC
- MCU signals: SWIM, NRST, PA1
- Power: 5 to 20V via USB-C port.
- Dimensions: 82.0 x 58.0 x 11.5 mm (4 M2 mounting holes).
- Weight: 28.5 grams.
