Does Ollama send my prompts back to their servers?

No. When running locally, Ollama does not see your prompts or data. If you use Ollama Cloud, data is processed to provide the service but is not stored or used for training.

Which operating systems are supported?

Ollama is natively available for macOS, Windows (in preview/stable), and Linux. It can also be run as a Docker container.

What kind of hardware do I need to run a 70B model?

To run a 70B parameter model comfortably, you typically need 40GB+ of VRAM (e.g., dual RTX 3090/4090s) or a Mac with high unified memory like an M2/M3 Ultra.

Can I use Ollama for commercial projects?

Yes, Ollama is open-source under the MIT license. However, you must also comply with the individual licenses of the models you run (e.g., Llama 3's community license).

How do I update Ollama to the latest version?

On macOS and Windows, Ollama will automatically check for and download updates. On Linux, you can re-run the install script to upgrade.

Is there an API for developers?

Yes, Ollama runs a local server on port 11434. It provides a REST API and is compatible with the OpenAI API specification.

Nobody owns this listing yet

Ollama is live in the directory, but no verified owner controls the page.

Claim this listing

Free to claim · 2 minutes

Pick your launch day — Schedule a launch and compete for the daily #1 spot.
Win trophies you can embed — Rank top 3 on launch day and get an embeddable trophy.
“Featured on AI Kaptan” badge — Owner-only badge with your live upvote count.
Control what the page says — Edit copy, pricing, links and screenshots as the owner.

Unclaimed listings don't stay up forever. Listings left unclaimed are removed from the directory in periodic cleanups. When a listing goes, it goes everywhere — the tool page and every alternatives comparison it appears on, along with the rankings and backlinks that page had built up.

Verify with a work email on the domain (about 2 minutes), then post about it on LinkedIn and tag us. See everything you get

Large Language Models

Freemium

Ollama

Run powerful AI models like Llama 3, DeepSeek, and Mistral locally on your machine. Privacy-focused, open-source, and developer-friendly with a simple CLI and API.

Visit WebsiteView Alternatives

—

Rating

Reviews

Upvotes

4 months ago

Listed

Local AI

Open Source

LLMs

Machine Learning

Privacy

Developer Tools

Multimodal AI

Inference Engine

Llama

DeepSeek

Tool information

Provider

Ollama

Platforms

macOS

Windows

Linux

Docker

Languages

English

Chinese

Arabic

German

Hindi

Multilingual

API Available

Yes

Added to directory

4 months ago

Last updated

3 months ago

Rating

Not available

Pricing

Freemium

About Ollama

What the tool does and who it's for

Ollama is an open-source framework designed for running, creating, and sharing large language models (LLMs) locally on your own hardware. It simplifies the process of deploying powerful AI models like Llama 3.3, DeepSeek-V3, and Mistral by providing a unified runtime and a simple command-line interface. Users can download and run models with a single command, keeping all data private and reducing reliance on third-party cloud APIs. Ollama supports a wide range of models including vision-multimodal variants and provides an OpenAI-compatible API for seamless integration into existing developer workflows. With the introduction of Ollama Cloud in 2026, the platform now also offers a hybrid approach, allowing users to offload heavier workloads to high-performance cloud infrastructure while maintaining a local-first philosophy.

Key capabilities

Local Execution: Run state-of-the-art LLMs entirely on your hardware for maximum data privacy.

One-Command Setup: Use 'ollama run' to instantly download and chat with models from the library.

Extensive Model Library: Access a curated list including Llama 4, DeepSeek-R1, Qwen 3, and Mistral.

Multimodal Support: Native vision capabilities for models like Llama 3.2 Vision and Qwen 2.5 VL.

OpenAI Compatibility: Built-in API that supports OpenAI-style request formats for easy migration.

Hardware Acceleration: Optimizes performance for Apple M-series chips and NVIDIA/AMD GPUs.

Custom Model Creation: Build and share your own models using GGUF files and Modelfiles.

Local Caching: Smart image and text embedding caching to speed up repeated prompts.

Ollama Cloud Hybrid: Offload massive models to cloud-hosted inference while keeping local control.

Concurrency Management: Support for loading multiple models simultaneously and parallel request handling.

Pricing

Freemium — plans below

Local (Standard)

Cloud Pro

$20/month

Cloud-hosted inference
Access to 70B+ class models
Higher per-minute rate limits
Extended context windows
Zero-ops deployment

Cloud Pro Max

$200/month

Production-grade quotas
Priority access to Large MoE models
Burst capacity support
Maximum supported context length
24/7 priority support

Reviews

Be the first to review Ollama

No reviews yet

Be the first to share your experience with Ollama.

Featured Tools

Handpicked by our team of experts

Suggest an Update

Found outdated information? Help us keep this listing accurate.

FAQ

Ollama FAQs

Common questions about Ollama