Supercharge Local LLMs: Run Ollama and Large Language Models on Google Cloud with GPUs!
infrastructure#llm📝 Blog|Analyzed: Mar 29, 2026 15:15•
Published: Mar 29, 2026 14:32
•1 min read
•Zenn AIAnalysis
This article details a fantastic method for running Ollama and local Large Language Models (LLMs) on Google Cloud using a GPU-enabled Cloud Run. It offers a straightforward approach to leverage the power of cloud infrastructure, allowing users to interact with 30B parameter LLMs from their local machines. This unlocks exciting possibilities for experimenting with powerful AI models without local hardware limitations!
Key Takeaways
- •The article demonstrates how to deploy Ollama on Google Cloud's Cloud Run service with GPU acceleration.
- •It enables users to interact with Large Language Models, including those with 30 billion parameters, from their local computers.
- •The process uses a Docker container for easy deployment and leverages Google Cloud's build and registry services.
Reference / Citation
View Original"This article explains how to deploy Ollama to Cloud Run (with GPU) on Google Cloud and build an environment where you can talk to the LLM from your local machine."