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Lambda Face Recognition API
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Lambda Face Recognition API might be a bit more popular than GNOME. We know about 27 links to it since March 2021 and only 22 links to GNOME. 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.
The gnome extensions manager can't download extensions from gnome.org, but the extensions manager on flathub can, in addition to the usual extension settings. Source: over 2 years ago
Looks like all of gnome.org is down. I can't get to extensions or anything else. Source: about 3 years ago
Just update. New release includes some features you maybe want, and general improvements. https://gnome.org. Source: over 3 years ago
Using Xorg and a Window/Desktop Manager (maybe you heard of gnome), you're able to have a functional desktop like Windows. Source: over 3 years ago
That third graph doesn't do a good job of accurately assigning commits to organization. For example, two the largest GNOME contributors for Red Hat are Florian Mรผllner and Jonas ร dahl. Both of them don't commit using a redhat.com email address. Instead they use gnome.org and gmail.com respectively. So they are incorrectly assigned in the third graph to either Personal or other where they should be with Red Hat. Source: over 3 years 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
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
Mattermost - Mattermost is an open source alternative to Slack.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
VS Code - Build and debug modern web and cloud applications, by Microsoft
ipinfo.io - Simple IP address information.
