Lead Developer Advocate
Machine learning infrastructure that just works
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.
Lead Developer Advocate
Using MongoDB Atlas and Baseten’s Chains framework for compound AI, you can build high-performance compound AI systems.
Use a state machine to generate token masks for logit biasing to enable function calling and structured output at the model server level.
Add function calling and structured output capabilities to any open-source or fine-tuned large language model supported by TensorRT-LLM automatically.
Explore the strengths and weaknesses of state-of-the-art image generation models like FLUX.1, Stable Diffusion 3, SDXL Lightning, and Playground 2.5.
We observe up to a 122% increase in tokens per second for Llama 3 after training custom Medusa heads and running the updated model with TensorRT-LLM
SPC hackathon winner TestNinja and finalist VibeCheck used Baseten to power apps for test generation and mood board creation.
The TensorRT-LLM Engine Builder empowers developers to deploy extremely efficient and performant inference servers for open source and fine-tuned LLMs.
Baseten is a Series B startup building infrastructure for AI. We're actively hiring for many roles — here are ten reasons to join the Baseten team.
