Why You Should Consider Google AI Platform For Your Machine Learning Projects

It's a catalog of reusable models that can be quickly deployed to one of the execution environments of AI Platform. The catalog has a collection of models based on popular frameworks such as Tensorflow, PyTorch, Keras, XGBoost and Scikit-learn. Each of the models is packaged in a format that can be deployed in Kubeflow, deep learning VMs backed by GPU or TPU, Jupyter Notebooks, or Google's own AI APIs. Each model is tagged with labels that make it easy to search and discover content based on a variety of attributes. AI Platform Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular deep learning and machine learning frameworks on a Google Compute Engine instance.