Banana.dev
Clever Grid
Kobra
mlblocks
Bookblock
GPU.LAND
Worklog
Neuro
CircleCI
Jenkins
Travis CI
Codeship
Bamboo
Buddy
Bitrise
Semaphore
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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 / 2 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
CI *(in our case that’s CircleCI) we run it for each *Pull Request. - Source: dev.to / 28 days ago
In this article, we are going to provide simple and detailed step-by-step instruction on how to set up Continuous Delivery for your React Native Android application by using Fabric and CircleCI 2.0. - Source: dev.to / 30 days ago
In addition, Snyk can be easily integrated with various IDEs, including Visual Studio Code and PyCharm, as well as CI pipelines, such as Jenkins, CircleCI, and Maven, and workflows. - Source: dev.to / about 1 month ago
Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / about 1 month ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / about 2 months ago
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Kobra - Visual programming for machine learning, like Scratch
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
mlblocks - A no-code Machine Learning solution. Made by teenagers.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.