We've also seen a strong desire from businesses to manage models and compute on their own machines or in their own cloud accounts. This is often part of a hybrid strategy of using API products like OpenAI for rapid prototyping.
The majority of (though not all) businesses we've seen tend to be quite comfortable using hosted API products for rapid prototyping and for proving out an initial version of their AI functionality. But in many cases, they want to complement that with the ability to manage models and compute themselves. The motivation here is often to reduce costs by using smaller / faster / cheaper fine-tuned open models.
When we started Anyscale, customer demand led us to run training & inference workloads in our customers' cloud accounts. That way your data and code stays inside of your own cloud account.
Now with all the progress in open models and the desire to rapidly prototype, we're complementing that with a fully-managed inference API where you can do inference with the Llama-2 models [1] (like the OpenAI API but for open models).