The analysis above shows that despite the powerful services offered by large cloud service providers like AWS, there's still a significant learning curve for developers to effectively utilize these services. This might explain the emergence of AI Infra products like LangSmith, Modal, and LaptonAI, which aim to be one-stop service providers for AI applications. We, on the other hand, take a different approach by... - Source: dev.to / 12 days ago

I'm going to make a left field suggestion and say Modal Labs if you're mostly Python based: https://modal.com/ It should work with other languages through Docker and their Python API, but I can't speak to the ease of deployment in that case. - Source: Hacker News / 27 days ago

I recommend checking out https://modal.com It’s “serverless” and You only pay for the compute you use. - Source: Hacker News / about 1 month ago

Apart from Supabase, I use Modal. I consider it the best hosting service for running ML and AI processes in Python. - Source: dev.to / about 1 month ago

I'm curious if people's qualms around abstracting the cloud/network also apply to the https://modal.com product. Differential seems like a similar project at its core, just focused on the Typescript + microservices ecosystem. - Source: Hacker News / 3 months ago

If you continue to have problems with Premiere Pro, you might consider editing using Vagon’s in-browser supercomputer. Source: about 1 year ago

Use vagon.io . It's uses AWS and costs lower than hosting our own instances. Source: over 1 year ago

I used a couple times this Https://vagon.io/ Give it a try. Source: almost 2 years ago

You can try https://vagon.io/ Supports windows desktop, can run games. The only thing is the GPUs are somewhat high-end, so it's a bit pricey. Source: about 2 years ago

May I ask if you want to game on those service? For vagon.io, what is their booting time? And why slow boot time is a matter to you? Source: over 2 years ago