Hi Ernest!

Following our email conversation, it is understandable thats a lot of CPU utilization. AI Studio relies on WSL for creating the virtual environment from which a lot of these processes are executed. 

Your post states, “I’m currently running into the issue of it using 80% of my CPU when the AI Studio is open without it running any tasks or projects while using 0% of the GPU”

AI Studio as such is an application, like any other installed on your machine. The aspect of GPU utilization comes only when you are executing python code/notebook from within a workspace in AI Studio.

In the past, we have seen some reports of high CPU utilization resulting from very low available disk storage. Could this apply to your scenario?

For comparison, I have an i7 with 16GB RAM running Windows 11 and I have AIS just open in the background, not executing any compilation or workload. My CPU is at 95% but I see that AIS as such consumes probably 25-40% on my system. 

Since WSL is already running, executing a workload should not overburden your resources further considering that WSL is already using that to set up and run the linux subsystem in windows. Can I recommend you to launch just AI Studio and execute your workload? And see how that performs?

Regards,

Suresh

Hi Electronuke, this is helpful feedback and submitted as a performance enhancement idea for scoping and prioritization.