Khadas VIM3 Basic Single Board Computer
SKU:
KVIM3-B-002
Build powerful edge AI and IoT applications with a compact, energy-efficient single-board computer. This board integrates a 2.2 GHz quad-core ARM Cortex-A73 processor for reliable performance. It includes 2 GB of LPDDR4 RAM for smooth multitasking.
51 990 Ft
(40 937 Ft + VAT)
Saját raktár
Out of stock
Külső raktár 2.
4 pcs
júl. 9.
Fast Delivery
2-5 working days
Secure Payment
Barion & SSL protection
14 Days Exchange
We take it back without question
The Khadas VIM3 Basic Single Board Computer represents a refined balance of performance and efficiency, making it an ideal foundation for advanced edge computing and IoT deployments. Engineered for developers and makers, this compact board excels in applications ranging from smart home automation and media servers to AI inference at the network periphery, where low power consumption and reliable processing are paramount. Its robust design also suits prototyping for industrial control systems and digital signage, offering a versatile platform for both hobbyist and professional projects.
At the heart of the VIM3 Basic lies a powerful 2.2 GHz quad-core ARM Cortex-A73 processor, delivering dependable computational throughput for demanding tasks. Complemented by an ARM Mali-G52 GPU, the board handles graphics-intensive workloads with ease, while integrated NPU acceleration enables efficient on-device machine learning. Connectivity is comprehensive, featuring dual-band Wi-Fi, Bluetooth 5.0, Gigabit Ethernet, and multiple USB 3.0 ports, alongside a 40-pin GPIO header for expansion. The inclusion of an HDMI 2.1 output supports 4K video at 60 fps, and onboard storage options include eMMC and microSD slots. With active cooling support and a compact footprint, this single-board computer offers a reliable, energy-efficient solution for building tomorrow's intelligent applications.
At the heart of the VIM3 Basic lies a powerful 2.2 GHz quad-core ARM Cortex-A73 processor, delivering dependable computational throughput for demanding tasks. Complemented by an ARM Mali-G52 GPU, the board handles graphics-intensive workloads with ease, while integrated NPU acceleration enables efficient on-device machine learning. Connectivity is comprehensive, featuring dual-band Wi-Fi, Bluetooth 5.0, Gigabit Ethernet, and multiple USB 3.0 ports, alongside a 40-pin GPIO header for expansion. The inclusion of an HDMI 2.1 output supports 4K video at 60 fps, and onboard storage options include eMMC and microSD slots. With active cooling support and a compact footprint, this single-board computer offers a reliable, energy-efficient solution for building tomorrow's intelligent applications.
No reviews for this product yet.












