Ollama Cloud Models Preview
Ollama has launched a preview of Cloud models, allowing users to run massive large language models (LLMs) on datacenter-grade hardware without needing the local hardware capacity to host them. This update enables a seamless transition between local and cloud-based inference while maintaining privacy through a policy of not retaining user data.
High-Performance Hardware for Large-Scale Models
Ollama Cloud provides access to models that are too large to fit on standard personal computers. By offloading the compute to the cloud, users can leverage fast, datacenter-grade hardware while continuing to use their existing local Ollama tools and workflows.
Model Availability and Versioning
To access cloud models, users must be running Ollama v0.12. The following models are currently available in the cloud preview:
qwen3-coder:480b-cloudgpt-oss:120b-cloudgpt-oss:20b-clouddeepseek-v3.1:671b-cloud
Integration and API Compatibility
Cloud models are designed to behave like standard local models within the Ollama ecosystem. They integrate with the existing CLI commands such as ollama ls, ollama run, ollama pull, and ollama cp.
API Access Methods
Ollama Cloud models are accessible through multiple interfaces:
- OpenAI-compatible API: Cloud models work via Ollama’s OpenAI-compatible API.
- Ollama Libraries: Official JavaScript (
npm install ollama) and Python (pip install ollama) libraries support cloud models. - Direct API: Models can be accessed directly via the ollama.com API.
- cURL: Standard REST calls to
http://localhost:11434/api/chatcan be used to interact with cloud models after they have been pulled.
Authentication and Privacy
Accessing cloud models requires authentication because the inference compute is hosted on ollama.com. Users must use the following commands to manage their session:
- Sign In:
ollama signin - Sign Out:
ollama signout
Regarding security, Ollama states that its cloud service does not retain user data to ensure privacy and security.
Sources
- OriginalCloud models
Related
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