Ollama Cloud

Ollama Cloud's official statement did not disclose a specific model list, pricing strategy, or performance metrics.

Invoice AI integrates a conversational assistant based on Gemma 4 and runs it via Ollama Cloud.

A 1-million-token context is nearly infeasible for local inference on consumer-grade hardware, making cloud inference the realistic choice.

Ollama Cloud is the hosted version of Ollama, where models run server-side and users call them via the same CLI using cloud tags.

Ollama Cloud officially provides only privacy-related information at present, and feature and integration details still await formal documentation.

The core features of Ollama Cloud include always-zero data retention, data hosted in US and EU regions, and no use of user data to train models.

Ollama Cloud's data is hosted in two regions, the United States and the European Union, providing a localized option for European users subject to regulations such as the GDPR.

Ollama Cloud's statement did not specify whether the region selection mechanism is user-specified or automatically assigned, nor did it mention whether contractual terms for data residency are supported.

Ollama Cloud's original statement did not address audit reports such as SOC 2 or ISO 27001, or a data processing agreement (DPA).

Gemma 4 runs on Ollama Cloud by default (`gemma4:31b`); when the user selects the Gemini API but the call fails, the system automatically falls back to Ollama, and when both fail the error message lists both causes.

A single Ollama Cloud subscription grants access to more than 20 open-source large models including DeepSeek, GLM, Kimi, and Qianwen.

Ollama Cloud uses explicit per-token pricing and has eliminated service fees.

Ollama Cloud runs native open-source weights directly using dedicated computing resources, hosted in partnership with NVIDIA cloud service providers, rather than reselling official APIs.

All models on Ollama Cloud support tool calling, with context windows ranging from 131K to 1M.

There are three ways to connect to Ollama Cloud: running directly in the terminal, connecting via Ollama Launch to an Agent, or using it as a standard API Key.

The Peak hours correspond to midnight to early morning in Beijing time, allowing Chinese users to avoid peak pricing during the day and benefit from the time zone advantage.

The old Ollama Cloud plan was essentially billed by GPU runtime duration rather than by token

The low unit price of the old model was premised on users maximally saturating their GPU time quota, while the new model's precise per-token billing eliminates the diminishing marginal cost advantage for heavy users

The shift in billing model from resource-duration-based to token-usage-based is a process by which service providers refine cost accounting and move toward a predictable subscription revenue model

DeepSeek-V4.1-Flash-1017 is now officially available on the Ollama platform and has simultaneously launched on Ollama Cloud.