Rudi-AGX Embedded System with NVIDIA® Jetson AGX Xavier™

• Expandable storage via NVMe and/or SD card
• Connect up to 8x GMSL cameras
• Quickly integrate WiFi, Bluetooth, LTE, and video capture card
• 2x HDMI outputs and 4x USB for robust and flexible deployment

Rudi-AGX unleashes the full potential of the NVIDIA® Jetson AGX Xavier™ module, capable of running AI programs at Maximum Performance (MAX-N) while maintaining a safe operating temperature. With an AGX Xavier SoM embedded, Rudi-AGX features a Volta GPU with 512 CUDA cores, 64 Tensor cores, and is able to achieve AI performance of 32 TOPs. Not all AGX Xavier systems are built the same. Rudi-AGX’s thermal optimization allows access to the module’s full AI performance capabilities, making it the AI Edge solution compute-intensive applications can rely on.

Designed to accommodate sensor heavy applications, Rudi-AGX provides the ability to directly connect eight GMSL cameras, expand storage with NVMe or an SD card, and utilize a video capture card. Connectivity will not be a problem with WiFi, Bluetooth, and LTE slots, as well as two GbE ports available. This feature rich edge device also comes equipped with 6x GPIO, 4x USB 3.0, 2x UART, 2x I2C, 2x SPI, and an RS-485 connector. Rudi-AGX is ready for instant field deployment with any program developed using NVIDIA’s JetPack SDK or deep learning toolkit application.

Don’t sacrifice AI performance due to thermal limitations. Rudi-AGX will not throttle performance within the operating temperature range when running in 30W mode with 0 CFM airflow, or with 125 CFM airflow at MAX-N.

Specifications