The MERA Compiler and Framework is a pioneering software platform crafted by EdgeCortix to streamline AI inference deployment across different systems. This innovative framework facilitates comprehensive neural network model integration by offering tools, APIs, and runtime support necessary for implementing pre-trained deep neural networks. Its agnostic design supports popular frameworks such as PyTorch, TensorFlow Lite, and ONNX, enabling smooth interoperability across diverse development environments.
By providing native compatibility with a host of processors including AMD, Intel, ARM, and RISC-V, MERA makes it easier for developers to integrate EdgeCortix's AI solutions into their existing setups. Furthermore, it leverages advanced functionalities such as Apache TVM and MLIR to aid in the seamless distribution of IP across development teams, enhancing both productivity and flexibility in edge AI application modeling.
MERA's key capabilities include the ability to import pre-defined models from platforms like Hugging Face and the EdgeCortix Model Library, followed by post-training quantization and calibration. This ensures the deployment of models with near-native efficiency, particularly in demanding Generative AI tasks, thus reducing both time-to-market and operational complexities.
