LLMPilot: Generate the best deployment configuration for model + GPU combination

### 🚀 Feature Description and Motivation

For the 33b model deployment, we have a few options, A10, V100-32GiB, L20, L40. Technically, we can launch the instance using M * N GPU Type. However, we need to evaluate the most optimal plan for given latency/throughput/cost/ goals.

Selecting the most optimal GPU deployment for the model is a complex task that requires careful evaluation of those key metrics. By conducting benchmarks, analyzing costs, and considering community input, we can make an informed decision that meets our project goals. This RFC serves as a starting point for the discussion and invites contributions from all stakeholders.

### Use Case

As a user, I want to know the best gpu types to run a specific model.

### Proposed Solution

1. benchmark tools + benchmark datasets (pluggable)
2. experiment plans
3. generate results