Versatile workflow enabling the development, testing, and deployment of AI Models on FPGA Platforms
Development Platform
This platform serves as the foundational environment for initial design, fast prototyping, and validation of AI FPGA workflows. This platform provides engineers with the maximum flexibility and visibility required to explore complex architectures. This platform is the ideal starting point for a project, where the primary goal is to prove out a concept, optimize the AI model's implementation on the FPGA fabric, and fine-tune the hardware-software co-design.
VPX Platform
A VPX platform is engineered for high-performance, mission-critical applications requiring ruggedness, modularity, and scalability. These systems leverage a standardized backplane architecture to allow the integration of our AI FPGA workflow into existing VPX Platforms. AI FPGA workflows deployed on a VPX platform are well-suited for environments demanding exceptional throughput and reliability, such as in defense, aerospace, and advanced scientific research.
Small Form Factor Platform
Our small form factor platform is purpose-built for edge computing applications where size, weight, and power are the most critical design constraints. This platform integrates a Xilinx FPGA into a compact, low-power footprint. This solution can be deployed at the point of data capture, enabling real-time AI inference and decision-making on devices such as autonomous vehicles, robotics, and drones. This allows our AI FPGA workflow to be integrated into a final product with strict physical and power limitations.
Whether it is a standard CNN, Transformer or a custom AI network implementation, GET Engineering workflows enable fast deployment of AI models on cyber secure low-power development, VPX or Rugged Small Form Factor FPGA platforms. Our workflow is compatible with custom models trained using MATLAB, Tensorflow, or PyTorch. Using our workflow can help reduce the number of engineer man-hours needed by as much as a factor of 3.