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Question

How Much RAM Do You Need to Run Local AI Alongside Figma?

  • July 1, 2026
  • 1 reply
  • 21 views

Lekhai App

With more designers using local AI for UI copy, UX writing, design documentation, accessibility reviews, brainstorming, and coding assistance, choosing the right hardware has become increasingly important.

One of the biggest questions is how much RAM is actually needed for a smooth workflow while running Figma and local AI tools at the same time.

Here's a quick overview based on different workloads:

  • 16GB RAM – Great for basic UI/UX tasks, AI writing, small language models, and everyday design work.
  • 32GB RAM – The ideal choice for most designers. It allows comfortable multitasking between Figma, browsers, design systems, and local AI applications.
  • 64GB RAM or more – Best suited for professionals working with large AI models, multiple creative applications, or advanced AI workflows.

It's also important to understand the difference between system RAM and GPU VRAM. While VRAM helps accelerate AI tasks on a graphics card, having enough system RAM is essential for keeping both Figma and AI applications running smoothly.

I'm interested in hearing how other designers are approaching this.

  • How much RAM does your current workstation have?
  • Have you upgraded specifically to improve AI-assisted design workflows?
  • Have you noticed a meaningful difference between 16GB and 32GB while using Figma alongside AI tools?
  • Which local AI tools have become part of your design process?

Looking forward to learning from the community's experiences and recommendations.

1 reply

zhen
  • New Member
  • July 2, 2026

Great breakdown of RAM requirements! I've been running Figma alongside local AI tools on a 32GB setup and it handles most workflows comfortably. For designers working with AI-powered video generation in addition to design work, GPU VRAM becomes just as important as system RAM.

I've found https://motionifyai.io/ useful for generating quick video assets that can be imported into Figma prototypes, and it runs smoothly alongside the design workflow with enough RAM headroom.

Would be interesting to hear what local AI tools others are incorporating into their design pipelines!