[▲ Vercel Community](/) · [Categories](/categories) · [Latest](/latest) · [Top](/top) · [Live](/live) [Feedback](/c/feedback/8) # Increasing Vercel Functions memory limit beyond 4 GB for image rendering 26 views · 0 likes · 5 posts cprcrack (@cprcrack) · 2026-02-04 Hello, for our particular use-case it’s very useful to have more memory in `Vercel Functions`. ## Problem We do some heavy image rendering and moving it to a separate service would be tedious and not worth it for us in our pre-launch phase. ## Request Being able to have `8 GB` of memory instead of `4 GB` would fix all of our issues. We are on the `Pro` plan. Is it possible to have this manually increased by Vercel? Thanks for your support, Cristian  cprcrack (@cprcrack) · 2026-02-04 Looks like AWS Lambda (which I understand is used by Vercel Functions) can be configured up to 10 GB of RAM, so this should be technically possible? Pauline P. Narvas (@pawlean) · 2026-02-04 [quote="cprcrack, post:5, topic:32810"] so this should be technically possible? [/quote] You're correct that AWS Lambda does support up to 10GB of memory! However, as far as I know we have a limit Functions to 4GB maximum across all plans. For your image rendering needs, I'd strongly recommend: 1. **External image processing services** (Cloudinary, Imgix) These are purpose-built for heavy image workloads and can handle much larger memory requirements 2. **Background job processing** Use services like Inngest or Temporal to process images asynchronously with dedicated workers I'll also share this with the product team as feedback - in case they are cooking up something to change these :slight_smile: cprcrack (@cprcrack) · 2026-02-04 So can you confirm it's not possible to manually request an increase of the limits? Pauline P. Narvas (@pawlean) · 2026-02-05 Confirmed with the engineering team, it’s not possible to request an increase.