If you’re familiar with training models on different GPU cloud providers like CoreWeave, Lambda, or RunPod, you know how frustrating it can be to keep track of jobs, costs, and logs across multiple platforms. I’ve been there too, and that’s why I’m building a simple dashboard to streamline the process.
The idea is to have a clean and easy-to-use interface that shows job cards with cost, usage, and status information, along with log and error previews in one place. Eventually, I plan to add the ability to start jobs directly from the dashboard via APIs.
As someone who regularly rents GPUs, would this kind of dashboard save you time and hassle? What features are missing for you to actually use it? Let me know in the comments!
The current state of managing GPU jobs across different cloud providers is a mess, and I believe a simple, unified dashboard can make a big difference. By having all the necessary information in one place, we can focus more on training models and less on juggling multiple UIs.