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New in August: Deploy, deploy, deploy
In August, we focused on model deployment, from basic classifiers to advanced Stable Diffusion image generators, as a key step in realizing ML's business value.
Why we built and open-sourced a model serving solution
Truss, our open-sourced bridge for model development to deployment, saves time for data scientists and ML engineers on MLOps tasks in model serving.
New in July: A seamless bridge from model development to deployment
We've launched Truss, an OSS Python package for model serving and deployment. Baseten users have been using it unknowingly, now offering new capabilities.
New in June: Full-stack superpowers
Excited to highlight this month's major strides in empowering data scientists to create and maintain full-stack applications with real value.
New in May 2022: Off-site but on-track
In late April, we launched Baseten's public beta and new brand, now focusing on learning and enhancing the product for beta users like you!
Go from machine learning models to full-stack applications
Introducing Baseten, an ML Application Builder for Data Scientists
Create an API endpoint for an ML model
When you deploy a model on Baseten, you can call it via an API endpoint with zero configuration.
New in November 2021
Introducing Baseten's first monthly update—find it on our blog or via our newsletter. Join our waitlist for the latest product news, blogs, and company updates.
