Hi everyone,

I’ve been experimenting with an AI PC designed to handle both high-performance gaming and complex computational workloads. The gaming performance has been exceptional, but I’m encountering some challenges when running AI and deep learning applications on my AI PC, especially in utilizing my GPU for training large models.

The setup features a powerful CPU, ample RAM, and an AI-capable GPU, but I’ve noticed some performance inconsistencies with AI tasks. I’m curious if others have successfully optimized their AI PC for this type of dual-use setup? What tools or adjustments have you found to enhance performance across both gaming and AI tasks?

Additionally, I’m interested in improving my cooling system. While the system handles gaming without issue, the heavy AI workloads seem to push the components harder than expected.

Any insights on improving AI performance and system stability would be greatly appreciated!