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Spec Sheet
The Hadron GMSL Carrier Board for Orin™ Nano and Orin™ NX stands out as an ultra-compact, robust, and feature-rich solution, boasting dual GMSL2 camera inputs. It ensures high-speed, dependable data communication, crucial for autonomous applications. Just slightly larger than the Jetson™ SODIMM module, Hadron is perfect for GMSL vision applications, inference processing, and unmanned payloads, making it an ideal choice for AI computing at the Edge. Hadron’s design accepts a wide input voltage range, provides a comprehensive I/O set, with locking I/O connectors optimized for rugged environments. -
Spec Sheet
Connect Tech’s e-con systems Rudi-NX is the ultimate Edge AI computing device for state-of-the-art, compute-intensive applications. Powered by NVIDIA® Jetson Xavier™ NX, it can deliver up to 21 TOPS of performance in 15W. With 384 CUDA Cores, 48 Tensor Cores, and 2 NVDLA engines, it can run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously. The Rudi-NX enables multiple vision inputs including up to 4x GMSL (MIPI CSI-2) Camera inputs, 4x USB 3.0 ports and 2x Gigabit Ethernet ports. Additional connectivity via CAN, UARTs, RS-485, I2C, SPI, and GPIO. -
Spec Sheet
The Hadron Carrier Board for Jetson Orin™ Nano is an ultra small, rugged and feature rich carrier for AI Computing at the Edge. Just slightly larger than the Jetson™ SODIMM module, Hadron is ideal for vision applications, inference, and unmanned payloads. Since the Hadron carrier board is compatible with the Jetson Orin™ NX, Orin™ Nano, Xavier™ NX, and TX2™ NX modules, users can transition between modules depending on their AI processing requirements. Hadron’s design includes a wide input voltage, rich I/O set as well as locking IO connectors optimized for rugged environments. -
Spec Sheet
Connect Tech's e-con 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.
