Ollama vs. The Giants: Can Your Laptop Really Run a 671B Model?

Author(s): R. Thompson (PhD)

Originally published on Towards AI.

…The surprising truth about cloud-powered AI that feels local

Picture a young developer, Maya, sitting in a cramped apartment with a modest laptop. She dreams of testing DeepSeek-V3.1, a model so vast it could rewrite how her research team understands code. But when she tries to run it locally, her laptop wheezes, heats up like a toaster, and finally freezes. The ambition is there, the compute power isn’t. Maya’s story isn’t unique — it’s the silent frustration of countless students, researchers, and entrepreneurs who long to experiment with large models but hit hard physical limits.

The article explores the limitations faced by developers and researchers when trying to run large AI models locally, discussing the frustration stemming from inadequate computational power. It introduces Ollama, a tool that allows users to benefit from cloud computing without sacrificing privacy or ease of use, blending local and cloud capabilities seamlessly. Through various use cases, the piece highlights how Ollama empowers users to achieve significant breakthroughs in performance and participation, making advanced AI more accessible while addressing key trade-offs such as reliance on internet connectivity and security concerns.

Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI