Which requires less RAM: Flowise or Ollama?

Flowise uses less memory (1.5 GB) compared to Ollama (8 GB).

Which tool is more popular on GitHub: Flowise or Ollama?

Ollama leads with 0 GitHub stars versus 0 for Flowise.

Can I host both Flowise and Ollama on the same VPS?

Yes! Combining both applications requires at least 9.5 GB of RAM plus operating system overhead. A 4GB to 8GB VPS easily accommodates both.

Head-to-Head Technical Benchmark

Flowise vs Ollama

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

Canonical Comparison URL: /compare/flowise-vs-ollama

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.

Candidate A

Candidate B

Candidate A

Flowise

FlowiseAI/Flowise

★ 0

Drag & drop UI to build customized LLM flows using LangChain and LlamaIndex.

Min RAM

1.5 GB

Lower RAM

CPU Cores

1 vCPU

Disk Storage

15 GB

Deploy Flowise Docker Compose →

Candidate B

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 →

Full Technical Benchmark Breakdown

Specification	Flowise	Ollama	Advantage
Primary Category	ai-llms	ai-llms	—
Minimum RAM Required	1.5 GB	8 GB	Flowise (6.5 GB lighter)
GitHub Stars	★ 0	★ 0	Flowise (+0 stars)
GitHub Forks	0	0	Flowise
License	FOSS	FOSS	Open-Source
Primary Language	N/A	N/A	—
Docker Image	flowiseai/flowise:latest	ollama/ollama:latest	Both Container Ready

Multi-App Server Sizing

Can You Run Both Flowise & Ollama Together?

Yes! Running both simultaneously requires approximately 13 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.

Open VPS RAM Calculator Deploy 13GB VPS ($6.99/mo) →