The same query sometimes returns in 100 secs, and sometimes returns in 550 secs. What might be the reason?

[ahmetax]

I have a 8 core, i7, 32GB laptop with NVIDIA GeForce GTX 1060 6GB graphics card.
My os is Ubuntu 22.04. Python 3.10.11.
I try a clone of privateGPT with default .env file.
I try the same query to be answered. The answers mostly are different. That might be acceptable. But the completion time of the same query differs too much. It sometines is completed around 100 seconds, but sometimes the same query is responded after 500 seconds.
What might be the reason for such a dramatic difference?

[AITEK-DEV]

The dramatic difference in response times for the same query in a cloned version of privateGPT with a default .env file could be due to several factors:

Possible server loadIf the cloned instance is running on a server with other concurrent processes or possibly facing slow or high load, it could affect the response times.

Resource usageDepending on the current resource usage on your computer, such as CPU and GPU utilization, the response times may vary. Running background tasks that consume resources can also impact response times.

Network latency
Network latency could cause response time variations, especially if the cloned version communicates with a remote server for model inference.

Caching
The first time a query is processed, it might take longer as the model weights and data may need to be loaded into memory. Subsequent queries or similar queries could be faster due to caching.

Random initialization
Some deep learning models use random initialization, meaning the initial state of the model can vary between runs, leading to differences in responses for the same request.

System updates
Changes in system configurations or updates could also cause variations in response times.

To narrow down the possible causes, monitor system resources during query executions, check for network connectivity and latency issues, and review any logs or error messages from the cloned instance to identify potential bottlenecks.

[ahmetax]

Thank you AıTek-Dev, but I had checked almost all of the possibilities you stated. Interestingly, later queries take longer times. It looks like a 6GB GPU makes no benefit. It will be better for me to wait for better solutions using CPU. Maybe partial GPU+CPU solutions will be tried in future.