Objectives
- Auto distributed LLM inference config optimization

Key Results
- [3/10] Implement a minimal Rust inference framework
- [0/10] Trace vLLM compute graph and data flow
- [6/10] Profile vLLM to get compute graph
- [2/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
- [5/10] Profile different parallelism setup with real trace and analysis their difference
- [0/10] Meta-analysis for the theory maximum improvement with heterogenous setup [offtrack]

Last Week
- [KR1] Learn and implement a simple LLM inference in candle.
- [KR1] Debug for the float precision problem in candle, trying to figure out the root cause: kernel library or rust float precision.

Next Week
- Think about the structure of inference framework.
- Continue the rust code implementation.