Overall, it has helped us spend less time on infrastructure and operational setup and more time building constantly and evaluating AI solutions that can create value for businesses.
Data Engineer at a university with 10,001+ employees
Jun 29, 2026
Lightning AI changed my workflow compared to what I was doing before by not only saving my time, but also making my training and validations more standardized to try different hyperparameters and logging metrics and tracking points.
Ai Engineer at a computer software company with 11-50 employees
Jul 12, 2026
With the help of Lightning AI, we were able to manage our workflows efficiently, manage our GPU infrastructure effectively, and save a substantial amount of time and actions in those areas.
Data Engineer at a university with 10,001+ employees
Jun 29, 2026
I think I have an idea for improving Lightning AI in the area of debugging distributed training. I know the abstraction is great, but when something can go wrong in multi-GPUs, we could probably have more intuitive diagnostics or clearer error messages that would help us to further reduce iteration time or debugging time.
Ai Engineer at a computer software company with 11-50 employees
Jul 12, 2026
When running large workloads or complex projects, Lightning AI can sometimes experience lag or latency issues, and I am not always satisfied with the training results, as I have noticed spikes during training.
