Xcode
Microsoft Visual Studio
IntelliJ IDEA
Android Studio
Sublime Text
VS Code
Eclipse
PyCharm
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
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Install XCode, Appleโs integrated development environment (IDE), which includes much needed debugging tools and iPhone simulators. - Source: dev.to / 5 months ago
Download and install Xcode, Apple's integrated development environment (IDE). - Source: dev.to / 8 months ago
There are practice problems in each section so that you can practice while learning from the content. These are in the 'Hands-On Practice' section in each section. Integrated Development Environments (IDEs) are tools that allow you to write your own programs. There are some great, free C++ IDEs out there like Visual Studio, Xcode, and CLion. The simplest way to get started is to use a web-based IDE. Replit works... - Source: dev.to / over 1 year ago
2. Xcode Debugger Xcode remains the standard iOS app debugging tool. Its debugger is exceptional at identifying memory leaks, helping to discover thread races, and even focusing on the cause of crashes. - Source: dev.to / over 1 year ago
XCode inspector offers VoiceOver Simulation to read out app elements for identifying if descriptions mentioned for the UI are meaningful and informative. It helps to make your app accessible to users with disabilities. Apart from that the Accessibility Inspector offers a complete audit of the appโs UI elements. Also as you make changes to your app the tool offers immediate feedback on accessibility issues. - Source: dev.to / over 1 year 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
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Mattermost - Mattermost is an open source alternative to Slack.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Android Studio - Android development environment based on IntelliJ IDEA
ipinfo.io - Simple IP address information.