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Based on our record, Kubernetes seems to be a lot more popular than GPU.LAND. While we know about 296 links to Kubernetes, we've tracked only 8 mentions of GPU.LAND. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm just going to mention here the experience of someone who ran gpu.land (doesn't exist any more). He did something similar, monetized it (very cheap) and then had to shut down because people were running crypto miners on it. I hope you have a plan to avoid that type of abuse. Source: about 2 years ago
RIP to gpu.land... I was hoping they would take off because they seemed to have a cool product with great pricing. Source: almost 3 years ago
There's also https://gpu.land (which has their own comparison page). Source: about 3 years ago
Heya, I'm also so just keeping in touch. After liek 1 month of non redditing, someone replied who claimed to be the developer of gpu.land Apparently it is cloud computing for full Linux rather than the Jupyter notebook like what we tried before. Can I ask what is the update on the cloud computing site? I messaged the gpu.land person to see if we can get some free trial ($1 per hour on cheapest one but I don't know... Source: about 3 years ago
There are also more affordable GPU-for-DL-lending options like gpu.land, although I have never used them so I can't vouch for them -- just something I saw on PH. Source: about 3 years ago
The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 9 days ago
Kubernetes, also known as "K8s," is a container orchestration tool developed by Google. It is used to automate the deployment, scaling, and management of containerized applications. Docker and Kubernetes can be combined for better container management. - Source: dev.to / 7 days ago
Follow the installation guide on the Kubernetes website. - Source: dev.to / 11 days ago
Learning new tools like Kubernetes and explore different ways of installing it, experimenting with various plugins, etc. If these tools are installed natively on the host and something goes wrong, it might require resetting the host. - Source: dev.to / 13 days ago
Recently, I’ve spent some time playing around with Kubernetes (K8s). Having never used it before, I gave it my humble first try. I used it as part of a project where I wanted to use self host some tools on a VPS and write some server code for some life automations and potentially a blog in the future. You can find the Github Repo for the project at the time of writing for it here. - Source: dev.to / 18 days ago
Apple Core ML - Integrate a broad variety of ML model types into your app
Rancher - Open Source Platform for Running a Private Container Service
Google CLOUD AUTOML - Train custom ML models with minimum effort and expertise
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Helm.sh - The Kubernetes Package Manager