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For the inference part, you can dockerise your model and use https://banana.dev for serverless GPU. They have examples on github on how to deploy and I’ve done it last year and was pretty straightforward. - Source: Hacker News / 3 months ago
I want to first check the user's ID and only if the user has an active subscription then the request will be forwarded to my API on banana.dev else the request will be blocked at the middleware itself. Should I use Express JS for the middleware i.e. Authentication and forwarding requests? Is there any other better way to improve my project structure? Currently it looks like:. Source: 8 months ago
Hey! Would love to have you try https://banana.dev (bias: I'm one of the founders). We run A100s for you and scale 0->1->n->0 on demand, so you only pay for what you use. I'm at erik@banana.dev if you want any help with it :). - Source: Hacker News / about 1 year ago
CAN you do this in AWS? Of course, do they have a service that does exactly what this banana.dev does? Probably not. Source: over 1 year ago
I've been using banana.dev for easily running my ML models on GPU in a serverless manner, and interacting with them as an API. Although the principle of the service is sound, it is currently too buggy to take into production (very long cold boots, errorring requests, always hitting capacity). Source: over 1 year ago
Similarly, Docker is a tool that helps developers package an application and all its parts—like code, libraries, and system settings—into a "container". This container can run on any computer, making sure the application works the same everywhere. Docker also lets you move these containers around easily, so you can run your app on any computer or even in the cloud without any fuss. And since containers are... - Source: dev.to / 8 days ago
Now make sure you have Docker installed and running, and then restart encore run to cause the site database to be created by Encore. Then let's call the site.add endpoint:. - Source: dev.to / 26 days ago
Docker is a platform designed to simplify the process of building, shipping, and running applications. It uses containerization technology to package an application and its dependencies into a standardized unit, called a container. Containers are lightweight and portable, and ensure that the application runs consistently across different environments like Windows and Linux. - Source: dev.to / about 1 month ago
To run locally you need to have Docker installed and running. - Source: dev.to / 6 months ago
To run the application locally, make sure you have Docker installed and running. This is required to run Encore applications with SQL databases. - Source: dev.to / 7 months ago
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Kobra - Visual programming for machine learning, like Scratch
Rancher - Open Source Platform for Running a Private Container Service
mlblocks - A no-code Machine Learning solution. Made by teenagers.
Portainer - Simple management UI for Docker