Space – GPGPU
Artificial intelligence (AI) has joined the ranks of advanced digital capabilities being integrated into rugged systems to help facilitate high performance embedded computing (HPEC) in harsh environments. Since space systems demand autonomous operation, data processing on site, video and image processing, and the ability to maintain reliable network connections to ground stations, moving AI capabilities into the space environment is the next logical step.
Leveraging the highly parallel nature of NVIDIA GPGPU technology, Aitech provides customers with high performance, SFF GPGPU-based systems, addressing the most demanding AI embedded applications, while meeting the necessary radiation characterization requirements for shorter-duration NEO and LEO programs and other short-term missions.
| Product | Product Name | Form Factor | Shader Processors | Graphic Outputs | Power (typical) | GPU & Processor | Expansions | Life Cycle Phase | View/Download |
|---|---|---|---|---|---|---|---|---|---|
 | S-A2300 | Small Form Factor (SFF) | 2048 CUDA Cores | DVI/HDMI/RS-170A | 15-60 W | NVIDIA® Jetson™ AGX Orin™ Industrial SoM NVIDIA Ampere™ GPU ARM® v8.2 CPU | Discretes UART Serial USB DVI/HDMI Output RS-170 Output | COTS | View Product |
| S-A1760 | Small Form Factor (SFF) | 256 CUDA Cores | DVI/HDMI | 8-10W | NVIDIA® Jetson™ TX2i Pascal™ Architecture GPU | GBE, CANbus, USB 2.0, Discretes, UART Serial, Composite In, SDI | Active Phase | View Product |
