Name: satronel.com
Rating: 5.0 (14 reviews)

Firefly Core-3328-JD4

Quad-core 64-bit Processor
AI Neural Network Processor NPU
Rich Extension Interfaces
Powerful Hardware Decoding Capability
Small-scale Core board
Android, Linux

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.

Hardware Spec

Form factor:	SODIMM 260P, 0.5mm pitch
SoC:	Rockchip RK3328 CPU: quad-core ARM® Cortex-A53 64-bit processor, frequency up to 1.5GHz GPU: ARM Mali-450 MP2, supports OpenGL ES1.1/2.0, OpenVG1.1 VPU: 4K 60fps H.265/H.264/VP9 decoding, H.264/H.265 encoding, Video post processor, de-interlacing, de-noising, edge/detail/color optimization NPU: 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)
DDR3 RAM:	1GB/2GB/4GB
Storage:	High-speed eMMC5.1（8GB/16GB/32GB/64GB/128GB) 1x MicroSD TF-Card Slot
Power:	DC 5V
PCB Dimension:	69.6mm × 49.6 mm

Hardware Futures

Network:	10/100/1000Mbps Ethernet
WiFi:	SDIO 3.0 signal, support 2.4GHz / 5GHz dual-band WiFi, 802.11a/b/g/n/ac protocol
Audio:	1 x SPDIF, for audio output 1 x I²S , support 8 channels
Video:	1 x HDMI 2.0, support 4K@60Hz output 1x TV Out, in accordance with 480i, 576i standard
Interfaces:	I2C, UART, SPI, SDIO3.0, USB2.0, USB3.0, I2S（Support 8-way digital microphone array input）

Software Features

OS Support:

Android, Linux