Watch the video based on the article https://youtu.be/03PA7S-9NPA.

Awful slop

Watch a video https://youtu.be/zaB0K2IY8tE based on the review.

This selection tool helps you find a suitable GPU for AI or deep-learning projects. It considers your budget, whether you're an individual or organization, and your use case (training large models, inference, or creative workloads). Recommendations cover NVIDIA Blackwell, Ada, and Ampere generations, plus practical cloud and used-market options.

Explore non-GPU AI accelerators like ASICs, FPGAs, and NPUs, comparing them to GPUs for training and inference. Includes major examples, performance trends, and cloud access options.

This calculator estimates the GPU memory needed to run LLM inference. Select the model size and precision (FP32 - FP4) to get a quick memory range estimate.

Best AMD GPUs for AI Training & Deep Learning in 2025: Performance, Use Cases, and NVIDIA Comparisons

Hi, here is my DropWizard example application https://github.com/javaeeeee/DropBookmarks;

And a Spring Boot example https://github.com/javaeeeee/SpringBootBookmarks.

awesome thanks so much!

also, was going to ask if you actually knew an example of an app calling an external api and then I happily found a walkthrough on your blog :) http://javaeeeee.blogspot.com/