Inference & Ops
Distributed inference (model sharding)
Lesson 9 of 10
Splitting one model across several machines with llama.cpp RPC when it won't fit on a single GPU.
What you'll learn
- Understand why a model may not fit on one machine
- See how layer sharding spreads a model across RPC workers
- Model assigning layers to workers and running one pipeline pass
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Not sure yet? Try the free lesson first: What an inference distribution network is