stijntonk

What is your use case, and what do you use instead? For analysis of large complex docs I find it pretty great, and fair priced.

No, for clients we use paid Vertex AI accounts. We often need to host workloads in an EU region, which rules out “global” models (and probably better capacity).

In the past, we used a wrapper that round-robined across multiple projects to get enough quota. Luckily, many of our workloads are workflow-style tasks, so we can simply keep retrying on 429s.

Fun fact: for one of their services, I think it was Stitch, I noticed that my paid key kept hitting quota, while the free worked fine. That blew my mind.

I wish that Google would focus on bringing their Gemini 3.x models to GA, and provide enough capacity such that one not constantly has to fight with 429 errors.

It often feels like they do not want me to develop applications for corporate clients using their Vertex API. It is just such a shame, given that their models were so great for document analysis etc.

Over a decade has passed since the ‘deep learning revolution’ turned the world of computer vision upside-down, and now we are about to witness another transformative shift that promises to make computer vision simpler and more accessible than ever before.