MSI MS-C9ZA runs NVIDIA Jetson Orin Nano 8GB hardware for edge AI tasks without fans. Six-core Arm Cortex-A78AE CPU and Ampere GPU handle local inference inside a 126 × 96 × 74mm chassis.
Passive cooling survives −25°C to 60°C ranges but still needs external airflow to avoid thermal throttling. Dual Gigabit Ethernet ports let operators separate camera networks from upstream management connections easily.
Two USB 3.2 Gen 2 Type-A slots support peripherals while USB-C handles recovery only. M.2 2230 and 2280 sockets accommodate wireless modules or storage depending on interface modes listed in manuals.
NVIDIA Jetson Linux 35.5 requires Arm-compatible software and JetPack containers for deployment. Pricing remains unannounced since industrial units typically sell through integrators with added mounting and support costs.
Passive cooling survives −25°C to 60°C ranges but still needs external airflow to avoid thermal throttling. Dual Gigabit Ethernet ports let operators separate camera networks from upstream management connections easily.
Two USB 3.2 Gen 2 Type-A slots support peripherals while USB-C handles recovery only. M.2 2230 and 2280 sockets accommodate wireless modules or storage depending on interface modes listed in manuals.
NVIDIA Jetson Linux 35.5 requires Arm-compatible software and JetPack containers for deployment. Pricing remains unannounced since industrial units typically sell through integrators with added mounting and support costs.
