Powered by Rockchip RK3588S new-gen octa-core 64-bit processor, the
computer can be configured with up to 32GB RAM. Capable of 8K video
encoding and decoding, it supports Gigabit Ethernet, dual band WiFi
and 4G LTE. With RS485, RS232, CAN and more interfaces, it can be
used in edge computing, Artificial Intelligence, smart home, intelligent
retail and smart industry.
RK3588S is Rockchip's new-gen flagship AIoT SoC with 8nm lithography process.
Equipped with octa-core 64-bit CPU, its frequency is up to
2.4GHz. Integrated with ARM Mali-G610 MP4 quad-core GPU and built-in AI accelerator NPU, it provides 6Tops computing power and supports
mainstream deep learning frameworks. The powerful RK3588S can deliver more optimized performance in various AI application scenarios.
The computer supports 8K@60fps H.265/VP9 video decoding and 8K@30fps H.265/H.264
video encoding. It also supports encoding
and decoding simultaneously — up to 32-channel 1080P@30fps decoding and 16-channel 1080P@30fps encoding can be achieved. The strong
video encoding and decoding capability makes 8K HD display and delicate picture quality available.
Up to 32GB of super-large RAM can be configured, which exceeds the limit of the
previous RAM and speeds up response time. It can
meet the application requirements of products with large RAM and large storage.
It supports 8K HDMI 2.1 and DP1.4 video output. Dual screen output with different
displays can be achieved, which can be used in various
scenarios of dual-screen interactive display.
1000Mbps Ethernet (1 channel), 100Mbps Ethernet (1 channel), 2.4GHz/5GHz
dual-band WiFi, Bluetooth 4.2, and 4G LTE are provided. This
powerful network communication capability makes data transmission more stable and faster.
The on-board M.2 PCIe2.0 (1Lane) interface can be connected with 2242 NVMe SSD
mass storage devices, which makes it a reality that
the device can be easily expanded with TB storage capacity.
HDMI2.1, Gigabit Ethernet, USB3.0, USB2.0, USB-C, RS232, RS485, CAN, relay and more interfaces are configured.
Android 12.0, Ubuntu Desktop version and Server version are supported. The
reliable operation provides a safe and stable system
environment for product research and production.
A complete SDK, development documents, examples, technology documents, tutorials
and other resources are provided for the users
to make a further customization.
The computer can be widely used in edge computing,
Artificial Intelligence, cloud computing, VR/AR, blockchain,
smart security, smart home, intelligent retail and smart industry.
Octa-core 64-bit (4×Cortex-A76+4×Cortex-A55), 8nm lithography process, frequency up to 2.4GHz
ARM Mali-G610 MP4 quad-core GPU
Support OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1, 450 GFLOPS
NPU computing power up to 6 TOPS
Support INT4/INT8/INT16 mixed operation,Support framework switching of TensorFlow / MXNet / PyTorch / Caffe
8K@30fps H.264 AVC/MVC
8K@30fps encoding, support H.265 / H.264
4GB/8GB/16GB 64bit LPDDR4/LPDDR4x/LPDDR5 (Up to 32GB optional)
1 × M.2 slot is for 2242 SATA3.0 SSD (default), compatible with 2242 PCIe2.0 NVMe SSD
1 × TF Card
2.4GHz / 5GHz dual-band WiFi, 802.11 a/b/g/n/ac protocol、
Bluetooth 4.2 (support BLE)
Support 4G LTE wireless network
1 × 100Mbps Ethernet (RJ45)
1 × 1000Mbps Ethernet (RJ45)
1 × HDMI2.1 (8K@60fps or 4K@120fps)
1 × DP1.4 (8K@30fps)
*Support dual screen output with different displays
1 × 3.5mm audio jack (with Mic recording)
1 × HDMI2.1 audio output
1 × DP1.4 audio output
1 × USB3.0 (current limit: 1A)
1 × USB2.0（current limit: 500mA）
1 × USB-C multi-function port (USB3.0 OTG / DP1.4) (current limit: 2A)
RS232, RS485, CAN, relay and more
DC12V voltage input (DC5.5×2.1mm)
Android 12.0, Ubuntu desktop and Server
Idle: ≈0.42W (12V/35mA)
Typical: ≈2.25W (12V/190mA)
Max: ≈12W (12V/1000mA)
Operating Temperature: -20℃～60℃
Storage Temperature: -20℃～70℃
Operating humidity: 10%～90% (non-condensing)