I built this because deploying models on traditional cloud platforms often feels more complicated than it should be, especially for developers who just want to run inference without setting up infrastructure, clusters, or scaling logic.
Quantlix is designed to make deployment simple:
upload model → get endpoint → done
Right now it runs CPU inference by default for portability, and I’m have prepared GPU support via dedicated nodes. It’s still early, and I’m mainly looking for honest feedback from developers.
If you try it, I’d really like to know: what confused you, what broke, or what felt unnecessary?
Happy to answer technical questions.