The Best Platforms to Deploy AI Apps in 2026 (Not the Models, the Apps Around Them)

In his blog post, Angelo Saraceno clarifies the often-misunderstood distinction between hosting an AI model (Layer 1) and hosting an AI application that utilizes such models (Layer 2). Layer 1 focuses on GPU scheduling, weight management, and direct inference, while Layer 2 is centered around long-running processes, database adjacency, and the effective integration of AI functionalities into applications. Saraceno emphasizes the importance of selecting the appropriate platform for the specific layer of workload to avoid inefficiencies and unnecessary costs. He highlights that, by 2026, most AI teams are leveraging hosted model APIs rather than managing their own models, a task best suited for Layer 2 platforms like Railway, Render, or Vercel. The post provides insights into the various platforms available for both layers, such as Modal and Replicate for Layer 1 tasks, and underscores the need for platforms that support long-running processes, database proximity, and agent-driven deployment for Layer 2 applications. Saraceno advises careful consideration of platform capabilities and potential trade-offs to ensure optimal deployment and efficiency for AI applications.