Source: thenewstack.io
Baseten: Deploy and Share ML Models with Python
In enterprises that employ machine learning, data scientists typically build and train models, then pass them over to an https://thenewstack.io/what-is-mlops/ team to deploy them. But startups and many small businesses don’t have such a data engineering team, leaving them in the lurch when it comes actually putting those models to use in their organizations.
In effect, they had to become full-stack engineers to get models into production.
San Francisco-based Baseten aims to abstract away the complexities of data infrastructure, enabling data science teams to put ML models into production faster and more reliably — and with less reliance on engineering help.
The Python SDK enables users to deploy TensorFlow, scikit-learn, PyTorch models or custom models right from a Jupyter Notebook.
In effect, they had to become full-stack engineers to get models into production.
San Francisco-based Baseten aims to abstract away the complexities of data infrastructure, enabling data science teams to put ML models into production faster and more reliably — and with less reliance on engineering help.
The Python SDK enables users to deploy TensorFlow, scikit-learn, PyTorch models or custom models right from a Jupyter Notebook.
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