erik_landerholm
Joined 17 years ago
Joined 17 years ago
The templates are a good place to start and with our concept of workspaces, you an easily attach data sources and do development with common ai tools and frameworks.
A lot of our customers and others we have talked to don't even know where to start with AI, including RAG. Our templates, infra management and workflow engine make it easy to spin up multiple environments, with varying configs for testing all the way to production.
While a lot of companies are getting into the RAG framework or Fine Tuning framework business, by releasing open source project, it is still very difficult to tie it all together.
Both nvidia and Docker have lamented about this issue to us and this is our attempt to make some of these frameworks easier to use.
Release.ai is much cheaper than those options even with our pricing on top of your cloud costs.
We are a single pane of glass no matter where your k8s clusters are running. You don't need to learn bedrock, sagemaker, gemini, etc in order to use gpus in different clouds.
Release also makes it very easy to create complete applications with web services and ai services together. No other platform allows you to do both easily.
We are a complete platform where you have total control over the software you select and how it needs to be integrated in your development processes.
Thanks for the kind words!