Software Engineer
Machine learning infrastructure that just works
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.
Software Engineer
We added three new observability features for improved monitoring and debugging: an activity log, LLM metrics, and customizable metrics dashboards.
Test and deploy ML models reliably with production-ready custom environments, persistent endpoints, and seamless CI/CD.
Our canary deployments feature lets you roll out new model deployments with minimal risk to your end-user experience.
Learn about Baseten's new Chains framework for deploying complex ML inference workflows across compound AI systems using multiple models and components
In this article, we outline a continuous integration and continuous deployment (CI/CD) pipeline for using AI models in production.
Stability AI announced the release of Stable Video Diffusion, marking a huge leap forward for open source novel video synthesis
Use ChatCompletions API to test open-source LLMs like Llama in your AI app with just three minor code modifications.
Deploy Falcon-40B and Falcon-7B, top-ranked open-source LLMs on HuggingFace, to Baseten's production-ready ML infrastructure.
