We founded Baseten in 2019 to accelerate the impact of machine learning, but it's still challenging for businesses to run large models in production due to difficulties with compute, scalability, cost optimization, and more. To address this, we've built Baseten to be a performant, scalable, and reliable way to run machine learning workloads, with features such as autoscaling, cold starts, secure workflows, and native support for large models. We've seen significant adoption from companies like Descript, Picnic Health, and Writer, and have recently raised an additional $40M to accelerate our growth and build new features, including multi-cloud support, integrations with best-in-class runtimes, and updates on fine-tuning, evals, and training. With this funding, we're poised to further revolutionize the machine learning landscape.