EIZO Rugged Solutions has released a new high-performance 3U VPX single board computer (SBC) based on the NVIDIA Jetson AGX Orin system-on-module (SoM). The Condor AGX-IOX includes an NVIDIA Ampere GPU and an Arm Cortex-A78AE CPU, and is designed for I/O-intensive C5ISR applications requiring at-the-edge computing and AI capabilities.
The module’s 64GB LPDDR5 system memory allows up to 205 GB/s memory bandwidth shared between the Arm Cortex CPU, NVIDIA Ampere GPU, and Accelerator Engines. This solution provides customers with lower Size, Weight, and Power (SWaP) and increased performance per watt with the Arm-based CPU and the NVIDIA GPU configured on a single module. For a maximum 60-watt single-slot solution, the Condor AGX-IOX 3U VPX card significantly increases the speed and efficiency of data processing in multi-sensor systems, allowing for real-time detection and analysis of incoming signals and data.
The Condor AGX-IOX 3U VPX card supports advanced storage and networking capabilities, including 64GB eMMC internal storage and 10GbE (Gigabit Ethernet), and high-speed I/O such as USB 3.2, DisplayPort, and RS-232 Serial. The card also includes dedicated HEVC (H.265)/AVC (H.264) NVENC and NVDEC engines with support for up to 4K-UHD encode resolution. The Condor AGX-IOX features a modular design to support both VITA 46/65 and the Sensor Open System Architecture (SOSA) technical standards slot profile 14.2.16.
With the release of this new product, EIZO Rugged Solutions is now a member of the NVIDIA Jetson ecosystem, enabling the company to develop even more advanced 3U VPX solutions for embedded edge computing applications in UAVs (unmanned aerial vehicles) and unmanned systems.
John Payne, Senior Product Manager at EIZO Rugged Solutions, said: “The Condor AGX-IOX is an exciting new addition to our HPEC product portfolio with the introduction of the NVIDIA Jetson AGX Orin 64GB SoM. The unified memory architecture between the Arm-based CPU cores and the NVIDIA Ampere architecture-based CUDA cores significantly minimizes latency, compared to the traditional CPU interface to GPU resources via a PCIe interface.”
