07/16/2026
It was a great experience to take part in this project! Interesting challenges, smooth teamwork, and the opportunity to fully apply our expertise – this is exactly the kind of work that helps us grow and improve.
We're proud to have been part of this journey and are already looking forward to the next challenges ahead. There's still plenty of work to do, and we're full of energy!
The most expensive mistake in infrastructure projects is starting to choose tools too early.
We have an interesting case. The client is a top-tier research laboratory – we can't disclose the name due to NDA. Their pain point: despite having a powerful pool of professional GPUs, engineers were wasting time waiting. Graphics cards were being reserved entirely even for small tasks, resource allocation between teams was done manually, and expensive equipment sat idle.
We didn't jump straight into designing the future platform's architecture. Instead, we started with experiments: we tested different GPU scheduling approaches on the client's real workloads. This helped us understand which solution would actually fit their infrastructure.
Based on the data we gathered, we built a unified MLOps platform that automated compute resource allocation, pooled existing GPUs, and made their usage transparent for the entire team.
As a result, engineers could run tasks in parallel without waiting for access to compute resources, and management got full visibility into infrastructure utilization.
Good architecture doesn't start with tool selection. It starts with understanding the problem.
Read more about the project on Evrone's website: https://evrone.com/cases/relab