A user on the r/LocalLLaMA subreddit is seeking advice on optimizing performance for a dual Nvidia A100 80GB GPU setup. They are experiencing a significant drop in generation speed when running multiple users or sessions, falling from 50-70 tokens/s to 10-15 tokens/s. The user is currently using llama.cpp with specific model configurations and parameters for agentic coding tasks and is considering switching to vLLM or running separate instances of Qwen3.6-35B-A3B on each GPU to improve throughput. AI
IMPACT Optimizing local LLM inference performance is key for efficient agentic applications and broader adoption.
RANK_REASON User seeking advice on hardware/software optimization for AI workloads.
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