The MERA Compiler and Software Framework by EdgeCortix is designed to streamline AI model deployment across various platforms, simplifying the transition of pre-trained models to functional applications. By offering a robust set of tools for model calibration and quantization, MERA ensures that models run optimally on the Dynamic Neural Accelerator (DNA) architecture.
MERA's integration capabilities extend across leading processors such as AMD, Intel, Arm, and RISC-V, providing flexibility and ease of use. It supports a range of machine learning frameworks like TensorFlow Lite and ONNX, making it easier for developers to adapt to this platform. The framework is especially suited for edge AI tasks where quick adaptation and efficiency are necessary.
Apart from model portability, MERA stands out with its ease of integration, supporting popular neural network models, including those from Hugging Face. Its open-source front end ensures community involvement and adaptability, encouraging industry-wide collaboration and innovation in AI deployment strategies.
