Scaling up generative AI operations can be costly. At OpenSauced, we faced this challenge while building StarSearch, until we found a low cost solution to deploy an OpenAI-compatible API using open source technology.

Jason

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Learn how to deploy low-cost open source AI technologies at scale with Kubernetes for generative AI applications, using alternatives to OpenAI and running vLLM locally and on Kubernetes.

How We Saved 10s of Thousands of Dollars Deploying Low Cost Open Source AI Technologies At Scale with Kubernetes

Running open source inference engines locally

Using Kubernetes for a large scale vLLM service

Load balancing with an internal Kubernetes service

This space is moving so fast and compute is getting cheaper for AI. Love seeing these tricks shared.

Fantastic post! It’s great to see open-source AI technologies in the spotlight. Thanks for the breakdown!

It was amazing to see the savings happen in real time. From receiving emails daily to up our credits to well, I don’t know when was the last time we got an email from OpenAI. 😎