Work with a variety of data types, experiment with model architectures and hardware setups. Record your experiments and compare results.
Build your machine learning pipelines, and models and version them. Train your models in parallel, access hardware on-demand.
Package functions, pipelines, and models and deploy them with ease. Development environment is same as production.
Monitor your apps and services using centralized logs and metrics. Schedule automatic re-training and rollbacks as required.
We love academic projects, write to us with your details for discounted rates.