Heroku is recommended for startups, small to medium-sized applications, hobby projects, and developers who value ease of use and quick deployment cycles. It is particularly suited for those who are developing web applications in languages such as Ruby, Node.js, Python, and others supported by the platform.
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Great service to build, run and manage applications entirely in the cloud!
Based on our record, Heroku should be more popular than Lambda Face Recognition API. It has been mentiond 73 times since March 2021. 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.
Providers include Digital Ocean, Heroku or Render for example. - Source: dev.to / 12 months ago
Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. Itโs then super easy for anyone to try the new code. - Source: dev.to / over 1 year ago
The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / almost 2 years ago
Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / about 2 years ago
Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: over 2 years ago
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 2 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: over 2 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 2 years ago
Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring for multiple engineering positions and more. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambdaโs mission is to create a world... - Source: Hacker News / over 2 years ago
LambdaLabs has been good to me so far. Cheap pricing, easy spin up, and no bullshit about applying to use a GPU. Source: over 2 years ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
OpenFace - OpenFace is an open source face recognition solution with deep neural networks.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Mattermost - Mattermost is an open source alternative to Slack.