The MERA Compiler and Framework is a groundbreaking software platform designed by EdgeCortix to streamline the deployment of sophisticated neural network models across heterogeneous systems. Tailored to handle complex generative AI tasks, MERA provides a framework-agnostic base for model porting and system integration, facilitating the compilation and inference of deep neural networks.
MERA stands out for its comprehensive support for major ML frameworks including PyTorch, TensorFlow Lite, and ONNX, leveraging native API compatibility for seamless workflow integration. Developers benefit from a rich suite of tools and code generators that optimize neural network models for edge deployment, including functionalities for post-training calibration and quantization.
Designed to foster innovation, the platform offers diverse benefits such as the integration of Apache TVM and MLIR for efficient code generation. The framework enhances productivity by allowing users to utilize pre-trained models sourced from EdgeCortix's Model Library or Hugging Face. MERA, working in conjunction with the Dynamic Neural Accelerator IP, supports edge AI deployments with reduced time-to-market and enables real-time, low-latency application execution.
