Using spare GPU power for one-person LLM inference
The issue is how to make better use of a when only one person is running . The setup appears to produce about 45 for one person, but it can also serve 4 people at the same time at about 40 each.
That means a single request may leave much of the card’s total capacity unused, while multiple requests can keep it busier. The practical question is whether one person can turn that spare capacity into more .
Key points
- One single request is assumed to produce about 45 .
- Four simultaneous users are assumed to get about 40 each.
- The main question is how one person can use the extra capacity.
- For , spare capacity may be useful when several tasks can run in parallel.