News
Announcing Baseten’s $75M Series C
Baseten raised a $75M Series C to power mission-critical AI inference for leading AI companies.
Export your model inference metrics to your favorite observability tool
Export model inference metrics like response time and hardware utilization to observability platforms like Grafana, New Relic, Datadog, and Prometheus.
Baseten partners with Google Cloud to deliver high-performance AI infrastructure to a broader audience
Baseten is now on Google Cloud Marketplace, empowering organizations with the tools to build and scale AI applications effortlessly.
Introducing Baseten Hybrid: control and flexibility in your cloud and ours
Baseten Hybrid is a multi-cloud solution that enables you to run inference in your cloud—with optional spillover into ours.
Introducing function calling and structured output for open-source and fine-tuned LLMs
Add function calling and structured output capabilities to any open-source or fine-tuned large language model supported by TensorRT-LLM automatically.
Introducing Baseten Self-hosted
Gain granular control over data locality, align with strict compliance standards, meet specific performance requirements, and more with Baseten Self-hosted.
Introducing automatic LLM optimization with TensorRT-LLM Engine Builder
The TensorRT-LLM Engine Builder empowers developers to deploy extremely efficient and performant inference servers for open source and fine-tuned LLMs.
Introducing Baseten Chains
Learn about Baseten's new Chains framework for deploying complex ML inference workflows across compound AI systems using multiple models and components
Announcing our Series B
We’ve spent the last four and a half years building Baseten to be the most performant, scalable, and reliable way to run your machine learning workloads.
Baseten announces HIPAA compliance
Baseten is a HIPAA-compliant MLOps platform for fine-tuning, deploying, and monitoring ML models on secure model infrastructure.
