Bundle Size Increase

Vercel has increased the bundle size limit for Vercel Functions using the Python runtime to 500MB, up from the previous 250MB maximum uncompressed deployment size. This doubling of the capacity directly addresses a key limitation for Python developers deploying data science, machine learning, and library-heavy applications.

What This Means for Developers

Python applications often require substantial dependencies—scientific computing libraries like NumPy and SciPy, ML frameworks, or large data processing packages can quickly consume deployment budgets. With this increase to 500MB, developers can now:

• Deploy more comprehensive Python applications without aggressive dependency pruning
• Include larger third-party libraries and scientific packages
• Reduce the need for complex layer optimization strategies

Getting Started

To leverage this increased limit, deploy your Python functions using FastAPI or Flask templates available on Vercel. Refer to the functions limitations documentation for full details on constraints and best practices.

Developers on Vercel's free tier can start experimenting immediately, while Pro and Enterprise customers can contact sales for tailored deployment strategies.