The text presents a detailed account of Baseten's evolution from its inception to its current focus on generative AI, highlighting the founders' journey and the strategic decisions they made along the way. Initially founded by friends with shared interests in machine learning (ML), the company focused on ML infrastructure, particularly inference, which involves serving and scaling models rather than training them. Over time, Baseten pivoted from classic ML models to supporting more complex deep learning models, such as transformers and diffusion models, as they became more prevalent in end-user applications. This shift required the company to enhance its product offering, emphasizing low latency, high throughput, and scalability. Co-founder and CTO Amir discusses the challenges of leading through rapid growth, the importance of maintaining a balance between innovation and focus, and the excitement of enabling non-specialist engineers to tackle AI problems more effectively. Additionally, Amir shares insights on the importance of choosing the right partners during fundraising, likening it to selecting a skilled surgeon for a critical operation.