Cloud-native Stack for Ollama - Build locally and push to deploy
Ollama Cloud is a Highly Scalable Cloud-native Stack for Ollama - ollama-cloud/get-started
Cloud-native Stack for Ollama - Build locally and push to deploy launched on March 19, 2024 with 21 votes, #1,136 of 4,270 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Cloud-native Stack for Ollama is a development tool that enables developers to build machine learning models locally using Ollama and deploy them to cloud environments. It streamlines the workflow from local development to production deployment by providing cloud-native infrastructure integration. The tool is designed for developers working with large language models who need a simplified path from local experimentation to scalable cloud deployment.
written from the facts on this page · September 2026
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1CodeJan 2026 · github.com · ▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
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