Dokku
Google App Engine
Salesforce Platform
Google Cloud Functions
Heroku
AWS Lambda
Azure Web Apps
CapRover
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
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Dokku might be a bit more popular than Lambda Face Recognition API. We know about 29 links to it since March 2021 and only 27 links to Lambda Face Recognition API. 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.
Dokku is the smallest PaaS implementation you've ever seen. It's a self-hosted Heroku alternative that runs on a single server. Push code with git push โ Dokku builds, deploys, and manages your apps. - Source: dev.to / 5 months ago
I think that https://dokku.com/ is actually the closest to what you are building. - Source: Hacker News / 6 months ago
Dokku is the veteran of this list, first released in 2013. It's a "mini Heroku" that gives you git-push deployments on a single server. Push your code, Dokku builds it with Heroku buildpacks or a Dockerfile, and runs it in a Docker container. - Source: dev.to / 6 months ago
Tools like Coolify, Dokku, and Dokploy run a Heroku-like experience on your own VPS. The typical setup is a Hetzner or DigitalOcean server with one of these tools installed. You get git-push deploys, automatic SSL, and database provisioning. - Source: dev.to / 6 months ago
Similar and not tied to a cloud provider: https://dokku.com. - Source: Hacker News / 11 months ago
Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. Thatโs a realistic... - Source: dev.to / 5 months ago
Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Mattermost - Mattermost is an open source alternative to Slack.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Google Cloud Functions - A serverless platform for building event-based microservices.
ipinfo.io - Simple IP address information.