tldr - powered by Generative AI

• Time slicing is useful for low priority jobs with idle time, but not suitable for latency-sensitive or performance-intensive tasks.
• Mig enables GPU sharing but comes with a performance loss due to the reduction in streaming multiprocessors.
• Benchmarking shows that time slicing incurs a significant performance loss when contact switching is required for long-running processes.
• Doubling memory and bandwidth through Mig can improve performance, but losing Mig without sharing the GPU results in a performance loss for no reason.
• Monitoring pipeline utilization can help understand user jobs and optimize GPU usage.