Vercel Functions can now be up to 5GB in package size
20x limit increase. Vercel Functions now support 5GB packages, unblocking Python AI libraries and ML workloads from edge deployment.
Why it matters
Vercel removes a critical infrastructure bottleneck for AI/ML backends. The 250MB→5GB jump enables data scientists and AI teams to deploy heavy Python stacks (NumPy, PyTorch, Hugging Face models) on serverless without re-architecting. This matters because edge compute is becoming table stakes for latency-sensitive AI products.
The key facts
12 to know5GB package size limit (up from 250MB)
20x increase in capacity
Public beta status
Supports Node.js and Python deployments
Use cases: Python data/AI libraries, browser automation, image/video processing
Opt-in via VERCEL_SUPPORT_LARGE_FUNCTIONS=1 environment variable
Existing Functions under 250MB remain on standard path
Vercel Functions package size increased from 250MB to 5GB (20x increase)
Public beta for Large Functions support on Fluid compute
Enables use cases: Python data/AI libraries, large generated clients, browser automation, image/video processing
New projects auto-enrolled; existing projects opt-in via VERCEL_SUPPORT_LARGE_FUNCTIONS=1 environment variable
Standard path remains at 250MB; only oversized Functions use beta
Go to the source
Vercel Blogvercel.com
Publisher excerpt: now support Node.js and Python deployments up to 5GB in package size on , a 20x increase over the previous 250MB limit. Large Functions support is in .Vercel FunctionsFluid computepublic beta This makes Vercel compatible with backend workloads that do not fit within the 250MB limit, such as Python…
