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Adopts Rockchip quad-core 64-bit processor RK3328, onboard AI neural network acceleration chip, with high computing capacity, ultra-high performance, powerful hardware decoding ability and rich extended interfaces, supports multiple operating system. It can be used as visual-based deep learning operation and AI algorithm acceleration, suitable for cluster servers, high-performance computing/storage, industrial computers, etc.
Industrial Computer
Smart Robot
Game Equipment
Commercial Display
Medical Equipment
Vending Machine
Intelligent POS
Interactive Printer
Specification | |
SoC | Rockchip RK3328 |
CPU |
Quad-core ARM® Cortex-A53 64-bit processor, frequency up to 1.5GHz |
GPU |
ARM Mali-450 MP2 GPU Support OpenGL ES1.1/2.0, OpenVG1.1 |
VPU |
Support 4K VP9 and 4K 10bits H265/H264 video decoding, up to 60fps 1080P multi-format video decoding (WMV, MPEG-1/2/4, VP9, H.264, H.265) 1080P video coding, support H.264/H.265 Video postprocessor: de-interlacing, denoising, edge / detail / color optimization |
RAM | 1GB/2GB/4GBDDR3 |
Storage |
High-SpeedeMMC5.1(8GB/16GB/32GB/64GB/128GB) Support MicroSD (TF) Card Slot |
NPU |
Core-3328-JD4(AI)onboard AI neural network processor SPR2801S Computing power up to 2.8 Tops, 9.3Tops/Wultra-high efficiency Support PyTorch, Caffe framework, follow-up support TensorFlow Support for PLAI model training tools (currently support VGG-based GNet1, GNet18 and GNetfc network models) |
Hardware Features | |
Ethernet |
10/100/1000MbpsEthernet |
WiFi |
Provide SDIO 3.0 signal, support 2.4GHz / 5GHz dual-band WiFi, 802.11a/b/g/n/ac protocol |
Display |
1 x HDMI 2.0, support 4K@60Hz output 1x TV Out, in accordance with 480i, 576i standard |
Audio |
1 x SPDIF, for audio output 1 x I²S , support 8 channels |
Interface | I2C, UART, SPI, SDIO3.0, USB2.0, USB3.0, I2S(Support 8-way digital microphone array input) |
Power | DC input voltage 5V |
OS/Software | |
OS | Android 、Linux |
Appearance | |
Size | 69.6mm × 49.6 mm |
Type | Gold finger(SODIMM 260P, 0.5mmpitch) |
PCB | 6-layer board design |
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