LLaMA.cpp users question full context window allocation for multiple users

A user on the r/LocalLLaMA subreddit is inquiring about the technical challenges of serving multiple users simultaneously with large context windows in language models. Specifically, they are asking how tools like llama.cpp handle providing the full context length (e.g., 128k tokens) to each individual user when multiple users are accessing the model in parallel. The user suspects that current implementations might share the context window among users rather than allocating it per user. AI

RANK_REASON This is a user question on a subreddit about a technical implementation detail, not a news event.

Read on r/LocalLLaMA →

• llama.cpp
• r/LocalLLaMA

• infra

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