Description
Overview
GAOTek powerful single board computers are small, powerful computers that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts. Single board computers deliver 472 GFLOPS for running modern Al algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously. Single board computers are also supported by NVIDIA Jetpack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open-source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe or Caffe2, Keras, and MXNet, enables the developers to integrate their favorite Al model / Al framework into products fast and easily.
Features
- Micro SD card slot
- 40-pin expansion header
- Micro USB port
- Gigabit Ethernet port
- 4x USB 3.0 port
- HDMI output port
- DisplayPort connector
- DC jack
- 2x MIPI CSI camera connector
Technical Specification
| GPU | 128-core Maxwell |
| CPU | Quad-core ARM A57 1.43 GHz |
| Memory | 4 GB 64 bits LPDDR4 25.6 GB/s |
| Storage | micro-SD card (NOT included. Recommendation: Micro SD Card 16GB) |
| Video Encoder | 4K 30 14 pixels x 1080 pixels 30❘ 9 pixels x 720 pixels 30 (H.264or H.265) |
| Video Decoder | 4K 60 or 2 x 4K 301 8 pixels x 1080 pixels 30 | 18 pixels x 720 pixels 30 (H.264 or H.265) |
| Camera | 2 x MIPI CSI-2 DPHY lanes |
| Connectivity | Gigabit Ethernet, M.2 Key E expansion connector (Recommendation: AC8265 Dual-mode NIC) |
| Display | HDMI and DP |
| USB | 4 x USB 3.0, USB 2.0 Micro-B |
| Extension Interfaces | GPIO, 12C, 12S, SPI, UART |
| Others | 260 pins Connector |