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MSI Launches Fanless MS-C9ZA Edge AI Box on Jetson Orin Nano

微星推出 MS-C9ZA 无风扇边缘 AI 盒子,基于 Jetson Orin Nano 8GB

Why we picked it

A fanless design with a -25°C to +60°C tolerance means the box can sit inside robots and factory floors where active cooling fails, shifting inference off the cloud to cut bandwidth costs and latency. System integrators and industrial IoT builders in ASEAN's manufacturing hubs can deploy it where network links are unreliable. The closest comparison is other Jetson Orin Nano carrier boxes from Advantech or Seeed, where MSI differentiates mainly on the wide-voltage input and port selection.

MSI announced the MS-C9ZA edge AI box on 23 Sep 2026, targeting robotics and smart manufacturing workloads that run AI inference and computer vision locally.

Body

The device is built on NVIDIA's Jetson Orin Nano 8GB module, with 1024 Ampere GPU cores, 6 Arm Cortex-A78AE CPU cores and 8GB LPDDR5 memory.

It uses passive fanless cooling in a 126×96×74 mm chassis and supports operation from -25°C to +60°C with 12–14V wide-voltage DC input.

Connectivity includes one PCIe Gen4 ×4 M.2 2280 SSD slot, two 1GbE RJ-45 ports, plus HDMI, USB, I²C, UART, CAN and GPIO.

Original · IT之家

微星推出 MS-C9ZA 无风扇边缘 AI 盒子,基于 Jetson Orin Nano 8GB

IT之家 9 月 26 日消息,微星 (MSI) 本月 23 日宣布推出 MS-C9ZA。这款边缘 AI 盒子可在端侧执行 AI 推理与计算机视觉处理,协助降低云端依赖、带宽使用与网络延迟, 面向机器人 、 智能制造等场景 。 MS-C9ZA 基于 NVIDIA(英伟达)Jetson Orin Nano 8GB 模组,拥有 1024 个 "Ampere" GPU 核心、6 个 Arm Cortex-A78AE CPU 内核,集成 8GB LPDDR5 内存。 该设备 采用无风扇的被动散热设计 ,三维 126×96×74 (mm),支持 -25~+60 ℃ 工作温度范围允许 12~14V 宽幅电压 DC 输入。其提供 1 个 PCIe Gen4 ×4 的 M.2 2280 SSD 盘位、2 个 1GbE RJ-45,另有 HDMI、USB、I²C、UART、CAN、GPIO 等端口。

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include MSI, NVIDIA, Jetson Orin Nano, edge AI.

Source attribution: curated from IT之家. Cross-source corroboration: 3 independent sources have covered this development (including NVIDIA, Genspark), confirming industry-wide signal strength.