Banana.dev
Kobra
Clever Grid
mlblocks
Bookblock
GPU.LAND
Worklog
Boomi
Rancher
Kubernetes
Terraform
Puppet Enterprise
Packer
Docker
RunDeck
Portainer
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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: 7 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: about 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: about 1 year ago
I don't know in which extend you plan to use Kubernetes in the future, but if it is aimed to become several huge production clusters, you should looks into Apps like Rancher: https://rancher.com. Source: almost 2 years ago
But I think once you have a good understanding of K8S internal (components, how thing work underlying, etc.), you can use some tool to help you provision / maintain k8s cluster easier (look for https://rancher.com/ and alternatives). Source: almost 2 years ago
A few years, I would have said no. Now, I'm cautiously optimistic about it. Personally, I think that you can use something like Rancher (https://rancher.com/) or Portainer (https://www.portainer.io/) for easier management and/or dashboard functionality, to make the learning curve a bit more approachable. For example, you can create a deployment through the UI by following a wizard that also offers you... - Source: Hacker News / about 2 years ago
Alternatively, it is also possible to use a multi-cloud or hybrid-cloud approach, which combines several cloud providers or even public and private clouds. Special tools such as Rancher and OpenShift can be very useful to run this type of system. - Source: dev.to / about 2 years ago
Rancher provides a Rancher authentication proxy that allows user authentication from a central location. With this proxy, you can set the credential for authenticating users that want to access your Kubernetes clusters. You can create, view, update, or delete users through Rancher’s UI and API. - Source: dev.to / about 2 years ago
Kobra - Visual programming for machine learning, like Scratch
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
mlblocks - A no-code Machine Learning solution. Made by teenagers.
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
