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Head-to-Head Technical Benchmark

Ollama vs Open WebUI

Technical hardware and popularity breakdown for self-hosting Ollama and Open WebUI on cloud VPS servers.

Canonical Comparison URL: /compare/ollama-vs-open-webui
Interactive Tool Matchup

Switch Matchup or Select New Apps

Change Candidate A or Candidate B to compare specs against any open-source tool in the directory.

VS
Candidate A

Ollama

ollama/ollama
★ 0

Get up and running with Llama 3, Mistral, Gemma, and other large language models locally.

Min RAM
8 GB
CPU Cores
4 vCPU
Disk Storage
50 GB
Deploy Ollama Docker Compose →
Candidate B

Open WebUI

open-webui/open-webui
★ 72.3k

Feature-rich, self-hosted web interface for Ollama, OpenAI-compatible APIs, and local LLMs.

Min RAM
2 GB
Lower RAM
CPU Cores
2 vCPU
Disk Storage
20 GB
Deploy Open WebUI Docker Compose →

Full Technical Benchmark Breakdown

Specification Ollama Open WebUI Advantage
Primary Category ai-llms ai-llms —
Minimum RAM Required 8 GB 2 GB Open WebUI (6 GB lighter)
GitHub Stars ★ 0 ★ 72,300 Open WebUI (+72,300 stars)
GitHub Forks 0 8,900 Open WebUI
License FOSS MIT Open-Source
Primary Language N/A Python —
Docker Image ollama/ollama:latest ghcr.io/open-webui/open-webui:main Both Container Ready
Multi-App Server Sizing

Can You Run Both Ollama & Open WebUI Together?

Yes! Running both simultaneously requires approximately 14 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.