Annapolis Micro Systems COTS Boards and Systems with integrated FPGAs and GPUs are ideally suited for high-performance Artificial Intelligence applications due to their balance of performance and SWaP efficiency.
FPGAs offer low-latency, reconfigurable hardware acceleration, making them ideal for real-time AI inference tasks with strict timing constraints. GPUs provide massive parallelism, efficiently handling deep learning workloads and complex AI models. By leveraging both, Annapolis COTS products enable high-performing and scalable AI solutions at the edge.
Annapolis supports deep learning acceleration frameworks for a variety of AI applications:
- ELINT/SIGINT applications focused on deep learning powered spectral sensing and signal identification
- AI-powered Pulse Descriptor Word (PDW) generation over MORA/VITA 49.2
- EW tools for Cognitive Radar and Smart Jammers/ECCM
- Communication applications spectral agility and Cognitive Radio
- Metacognition and game theory optimization over contested spectral resources
- AI-powered filtering and channel optimization
These toolsets for AI accelerated inference are supported:
- Agilex OpenVINO toolset
- AMD Xilinx Vitus AI toolset and the Deep-Learning Processing Unit (DPU) and acceleration on dedicated Versal AI Engines
- Vitus Model Composer for AI Engine Kernel development in MATLAB/Simulink
- Nvidia Jetson AGX Orin module for CUDA supported AI workflows
- Open CoreFire blocks for transferring data from compute kernels into traditional DSP flowgraphs and programmable logic
What Can AI-Optimized Embedded Computing Do for You?
If you require high-performance data digitization, processing or storage in a compact, rugged environment, Annapolis Baseboards, Switches, Storage and Chassis/Backplanes are for you. Contact us to have an FAE recommend the best approach for your AI application.