Dify Server Requirements Explained: From Evaluation to Production

What will this help you do?

Understand Dify's documented minimum, why a complete Compose stack needs headroom and which measurements should drive production sizing.

Who is it for?

Readers working through this problem and checking each step.

Before you start

Check the scope of this guide, then prepare the environment and materials it actually calls for.

Updated

On this page

The documented minimum is a starting line

The Dify repository documents a minimum of 2 CPU cores and 4 GiB of RAM. This is useful for installation planning, but it is not a promise that every production workload will fit that machine.

Why memory usage grows

The Docker Compose stack includes the application, worker processes, database, cache, sandbox and other supporting services. Document ingestion, concurrent workflows and larger knowledge bases can increase memory and storage pressure.

Measure before scaling

Watch container memory, CPU saturation, job queue delay, database size, upload volume and response latency. Scale the constrained component instead of buying a much larger server without evidence.

Deployment recommendation

Use the minimum only for a controlled evaluation. A 4 CPU and 8 GB application host provides more operating room for a small team, but model inference resources must still be sized separately. Follow the complete Dify Docker Compose guide and verify current requirements in the official Dify repository.

Next steps

Continue with the next useful task; you do not need to read everything at once.

  1. Deploy Dify with Docker Compose: A Production-minded Guide →
  2. Deploy Open WebUI with Docker and Persistent Storage →
  3. Install Ollama on Linux and Expose It Safely →
RESOURCES I USE · REFERRAL

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Cloud server · Used for early projects

RainYun

A practical candidate for a website or small service. Choose by user region, configuration and measured workload rather than the lowest headline price.

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