How does model export work? Why is only a Python file that receives new inputs and generates output not generated?
Saturday, 25 July 2026
by Stefano Tisi
Model export is a foundational process in operationalizing machine learning models, particularly when aiming to perform serverless predictions at scale using platforms such as Google Cloud’s AI and ML services. The export process is not merely a matter of outputting a Python file that takes inputs and generates outputs; rather, it involves serializing the trained
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
Tagged under:
Artificial Intelligence, Cloud Deployment, Google Cloud, MLOps, Model Export, Model Serving, ONNX, Scalability, Security, Serialization, TensorFlow
How to install JAX on Hailo 8?
Saturday, 20 September 2025
by Michał Otoka
Installing JAX on the Hailo-8 platform requires a comprehensive understanding of both the JAX framework and the Hailo-8 hardware/software stack. The Hailo-8 is a specialized AI accelerator designed for edge devices, optimized for running deep learning inference tasks with high efficiency and low power consumption. JAX, developed by Google, is a Python library for high-performance
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Google Cloud AI Platform, Introduction to JAX
Tagged under:
Artificial Intelligence, Edge AI, Hailo-8, JAX, Model Deployment, ONNX, Quantization, TensorFlow