Up until recently, for most enterprises the default choice ended up being ChatGPT maker Open AI's models. That was mainly since for a long time there were no serious alternatives. 

Then, in came Deepseek R1. It proved that other models could compete and even win against OpenAi, that too at a fraction of its price. So now its the one that’s nudging enterprises to think twice before paying OpenAi for its services. 

And as a byproduct of that, over the last few months, the entire AI ecosystem has been moving from the one size fits all approach to picking the best tools for the job. Basically that means getting multiple models to work together. 

There is a huge opportunity here. Not for consumer-AI startups that were once dominating funding charts, but instead for LLMops businesses. These are companies that glue together large language models or LLMs and optimise hardware and software to speed up computation processes. In the near future, these companies could potentially grow faster than ever before. 

Tune in. 

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