Olares vs Ollama Comparison in 2025

Olares

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Olares, an open-source cloud OS, turns hardware into an AI & productivity hub. Run local AI models, manage data securely, deploy apps. Ideal for personal & team use, ensuring privacy & control.

Ollama

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Run large language models locally using Ollama. Enjoy easy installation, model customization, and seamless integration for NLP and chatbot development.

Olares

Launched	2024-10
Pricing Model	Free
Starting Price
Tech used	Gzip,OpenGraph,HSTS,Nginx,Ubuntu
Tag	Data Science,Web3,Data Analysis

Ollama

Launched	2023
Pricing Model	Free
Starting Price
Tech used	Tailwind CSS,Google Cloud Platform,HTTP/3,JSON Schema,OpenGraph,Webpack
Tag	Software Development

Olares Rank/Visit

Global Rank	11365810
Country	United States
Month Visit	1174

Top 5 Countries

100%

United States

Traffic Sources

9.69%

1.36%

0.19%

12.73%

33.38%

41.8%

social paidReferrals mail referrals search direct

Ollama Rank/Visit

Global Rank	7881
Country	China
Month Visit	6538059

Top 5 Countries

20.55%

16.83%

7.49%

4.67%

3.05%

China United States India Germany Russia

Traffic Sources

1.57%

0.23%

0.03%

8.26%

44.51%

45.4%

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Estimated traffic data from Similarweb

What are some alternatives?

When comparing Olares and Ollama, you can also consider the following products

Kolosal AI - Kolosal AI is an open-source platform that enables users to run large language models (LLMs) locally on devices like laptops, desktops, and even Raspberry Pi, prioritizing speed, efficiency, privacy, and eco-friendliness.

LOCALAI - LocalAI: Run your AI stack locally & privately. A self-hosted, open-source OpenAI API replacement for full control & data security.

OllaMan - Get a powerful GUI for Ollama. OllaMan simplifies local AI model management, discovery, and chat on your desktop. Easy to use.

Okara - Okara: Powerful AI, zero data risk. Use 20+ open-source models in a private, encrypted workspace. Your data is never trained on.

OORT - OORT is a decentralized, verifiable cloud computing platform. By utilizing global resources from data centers to smartphones, it aims to enable trustworthy AI applications for humanity.