Pros
Ray, the open source software that Anyscale founders created and that Anyscale guides, is a fantastic fit for the growing market around providing the compute power for AI including the data, models, and applications that drive it.
Anyscale's customers have aligned on numerous workloads and use cases where Ray/Anyscale provide critical value.
Those same use cases are only now starting to be adopted in mainstream enterprises as they see how digital native companies are using the technology.
Anyscale's go-to-market motion has only really been going for about a year and is seeing great traction.
The people at Anyscale are smart, hard working, humble, kind, customer focused, and team oriented.
Cons
The opportunity space is vast and demands on the software are many. Data ingestion, model training and tuning, inference at massive scale, etc. It's a good problem to have. It is thus very important to be clear about what the product does well now, and what it is being built to do very well in the future, and iterate that clarity in the product/docs/examples as well as the roadmap. With strong customer feedback loops in place, Anyscale stands to turn this challenge into a great strength.
Anyscale hires brilliant people and they get exposure to the front lines of how AI is evolving. Those people are highly sought after and can be targets for much larger companies, so the people who choose Anyscale tend to do so because they believe in the long term vision and want to work in this kind of culture.