One Board, Two Versions
X1R and A1R share one carrier board, so you can choose QCS8550 or QCS6490 based on compute needs while keeping platform maintenance low.
Rhino Pi X1R
Built on the Rhino Core Q85 System-on-Module and the carrier board shared with A1R, delivering up to 48 TOPS (INT8) / 12 TOPS (FP16) for robotics, industrial vision and edge AI controllers.
QCS855048 TOPS INT812/16GB LPDDR5XWi-Fi 6135×90×14mmUbuntu22.04
Highlights
48 TOPS On-Device AI
Mixed INT8/FP16 precision easily handles multi-stream video analytics and local LLM inference.
Built for the Factory Floor
Dual Gigabit Ethernet, 2× CAN FD, 2× RS485 and 6× UART connect directly to production lines and robot peripherals.
8K Imaging
8K decoding and 4K/8K encoding for HD conferencing, live streaming and high-end media devices.
Specifications
Product code
A8550EZ1-050-AC / A8550EZ1-010-AC / A8550EZ1-050-AA / A8550EZ1-010-AA
CPU
QCS8550, up to 3.2GHz
GPU / VPU
Adreno GPU / high-performance VPU, supports 8K decode and 4K/8K codecs
NPU
48 TOPS（INT8）/ 12 TOPS（FP16）
ISP
Spectra ISP, supports multiple camera inputs
Memory
12GB / 16GB LPDDR5X
Storage
128GB UFS 3.1
Storage / expansion
1× Micro SD/TF slot (SD v3.0, backward compatible with 2.0)
1× Mini‑PCIe 4G module slot (no SSD expansion)
Display output
1× HDMI 2.0；1× eDP/DP；1× MIPI-DSI
Camera
2× MIPI CSI 4-lane
USB
1× Type‑C USB 2.0 OTG; 2× USB 3.0 Type‑A; 8× internal USB 2.0 connectors
Ethernet
2× Gigabit RJ45 (10/100/1000M)
Wireless
Onboard Wi‑Fi 6 + BT 5.3
Industrial bus
2× CAN (CAN 2.0B / CAN FD); 2× RS485; 6× UART; plus I²C/SPI/I²S/GPIO and other general interfaces
GPIO
Per the shared X1R/A1R carrier board: 40-pin expansion and general-purpose GPIO
Audio
4× digital microphone inputs; stereo amplifier output (dual 5W drive)
System management
DC jack / pin-header power; touch, audio and antenna interfaces per the shared carrier board design
Power
DC 10~24V input, 12V/3A adapter recommended
Dimensions
135×90×14mm
Build with Rhino Pi X1R
Get Rhino Pi X1R documentation, evaluation kits, pricing and support for your Physical AI project.