Orange Pi's AI Station Packs 176 TOPS of Edge AI Power Into a Single Board With Up to 96GB RAM
Built around a Huawei Ascend 310 SoC with 10 AI cores, the Orange Pi AI Station delivers over 13x the AI performance of a Raspberry Pi 5 with Hailo — on a single board.
The Specs That Made Me Do a Double Take
Orange Pi has been steadily expanding beyond its Raspberry Pi alternative roots, but the new Orange Pi AI Station is a different beast entirely. Built around a Huawei Ascend 310 SoC packing 10 dedicated AI cores, 16 CPU cores at 1.9 GHz, and 8 vector cores, this single-board computer delivers a claimed 176 TOPS of AI inference performance. For context, the Raspberry Pi 5's optional Hailo-8L accelerator maxes out at 13 TOPS. The Orange Pi AI Station delivers more than thirteen times that on a single board.
Memory options are equally striking: configurations range from 48GB to 96GB of LPDDR4X RAM. For a single-board computer. When I first read the spec sheet, I assumed it was a misprint — but no, Orange Pi is genuinely shipping an SBC with as much RAM as a high-end workstation laptop.
Built for Local AI Inference
Storage-wise, you get up to 256GB of eMMC built in, with an SD card slot and PCIe SSD support for expansion. Connectivity includes dual Gigabit Ethernet ports, WiFi, and a standard 40-pin GPIO header for hardware hacking. An active cooling fan mount keeps things stable under sustained inference loads.
The whole platform is designed around one use case: running AI models locally. Whether it's LLM inference, computer vision pipelines, or real-time speech processing, the Ascend 310's architecture is optimized for neural network workloads. Orange Pi also offers a Pro variant — the AI Studio Pro — that doubles up with two Ascend 310 processors for 352 TOPS and up to 192GB of RAM.
Where It Fits in the SBC Landscape
The Orange Pi AI Station isn't competing with the Raspberry Pi 5 on price — it's playing in a completely different league. This is aimed at developers, researchers, and enterprises who need serious AI compute at the edge without cloud latency or recurring API costs. At 176 TOPS, it handles quantized large language models and multi-stream video analytics that would overwhelm any ARM-based SBC currently on the market.
The timing is also notable. With DRAM prices pushing Raspberry Pi setups toward mini PC price parity, the AI Station makes the case that if you're going to spend workstation money, you might as well get workstation AI performance — in a single-board form factor.
Sources: NotebookCheck (March 2026), CNX Software (March 2026), Tom's Hardware (March 2026)