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Based on our record, Vue.js seems to be a lot more popular than Lambda Face Recognition API. While we know about 407 links to Vue.js, 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 started as a small Nuxt integration eventually became a full Node.js and TypeScript SDK for MailChannels. Along the way, I learned a lot from the Vue, Nuxt, and UnJS ecosystems, took inspiration from other developer-focused tools such as Resend, and eventually had the opportunity to join MailChannels and get the project adopted and officially maintained. - Source: dev.to / 4 days ago
Vike-vue-content eliminates all of that. It's a content rendering framework built on Vike + Vue that turns your Markdown files into a fully functional docs site โ no page templates, no route tables, no boilerplate. - Source: dev.to / about 2 months ago
ApexCharts is an excellent library for creating interactive charts, and integrating it in [Vue.js (https://vuejs.org) is really a piece of cake. However, when it comes to displaying a time-series chart with thousands of points, the performance can suffer, sometimes causing the page to freeze during the rendering or when the user zooms or navigates through the data. - Source: dev.to / 3 months ago
The webapp is built with Nuxt, a Vue full-stack framework that solves a lot of pain points with a batteries-included approach (SSR, API, routing, crazy good DX, ...). Personal preference, but I prefer Vue over React, I feel like I can get ship faster with it, and AI models give much more consistent results thanks to the way the ecosystem is structured (wanna do X ? here's the Y official solution that everyone... - Source: dev.to / 6 months ago
In my full time job, we use NestJS with Prisma in the Backend and Vue.js on the Frontend. - Source: dev.to / 7 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
React - A JavaScript library for building user interfaces
Mattermost - Mattermost is an open source alternative to Slack.
Svelte - Cybernetically enhanced web apps
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Angular.io - Angular is a JavaScript web framework for creating single-page web applications. The code is free to use and available as open source. It is further maintained and heavily used by Google and by lots of other developers around the world.
ipinfo.io - Simple IP address information.