Vercel
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Lambda Face Recognition API
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We have been using Vercel to host some of our internally developed apps that help our team run our operations on Vercel and have found it to be a very developer friendly platform. With our apps built in Next JS it is a natural fit and the dev op pipelines can quickly and easily be configured. As these are internal apps used by our team they don't need to support huge traffic volumes so pricing has been affordable for us.
Based on our record, Vercel seems to be a lot more popular than Lambda Face Recognition API. While we know about 653 links to Vercel, we've tracked only 27 mentions of 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.
What replaced the laptop, before we get to the schema: Health Auto Export now posts straight to a Vercel function on a daily schedule, a scheduled job pulls lifting history from Liftosaur, and both land in TimescaleDB on Tiger Cloud. No files, no iCloud, no Mac. A Next.js app reads it and tells me whether I hit protein, which is a separate post. - Source: dev.to / about 2 hours ago
Vercel Hobby is free for personal, non-commercial projects and is built around HTTP serverless functions and static frontends. Node.js is the primary runtime, and Vercel does a lot of Next.js-specific work for you automatically: caching pages that don't change often, running lightweight functions close to the user, resizing images, and running middleware on every request. Hobby includes 100 GB of bandwidth per... - Source: dev.to / about 1 month ago
Vercel is where JS-heavy Heroku apps land when the shape they really wanted was framework-native serverless, especially anything on Next.js. ISR caching, edge functions, image optimization, middleware, and the AI SDK all wire up automatically from the framework's build output, so the parts of the app Heroku was serving as HTTP handlers become serverless functions that don't pay for idle time. - Source: dev.to / about 1 month ago
What went wrong: The security commit added a Content-Security-Policy Header with connect-src 'self' https://*.public.blob.vercel-storage.com. The Vercel Blob SDK's client-side upload() makes a PUT to Https://vercel.com/api/blob. That domain wasn't in connect-src. The browser silently blocked the request. - Source: dev.to / about 2 months ago
A host: A host is really just a computer that stays powered on and connected to the internet with a public address of its own. When a visitor types in the app's address, their browser sends a request across the internet to that machine, the machine runs the code, and it sends the finished page back. A laptop was quietly doing both jobs during the build, the server and the only visitor allowed in; a host is that... - Source: dev.to / about 2 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
Next.js - A small framework for server-rendered universal JavaScript apps
Mattermost - Mattermost is an open source alternative to Slack.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
GitHub Pages - A free, static web host for open-source projects on GitHub
ipinfo.io - Simple IP address information.
