Nvidia H100 user seeks advice on llama.cpp vs vLLM for 30-user inference

A user is seeking advice on optimizing inference for a large language model on an Nvidia H100 GPU with 94GB of VRAM. They aim to support up to 30 users, with a focus on a large context window and concurrent usage for coding tasks. The user is debating between using llama.cpp and vLLM, and is looking for recommendations on model quantization and benchmarking tools for concurrent user performance. AI

IMPACT Guidance for optimizing LLM inference on high-end hardware.

RANK_REASON User is asking for technical advice on using specific tools for inference.

Read on r/LocalLLaMA →

• llama.cpp
• Nvidia H100
• Qwen3.6-27B
• Unsloth
• vLLM

• infra
• product

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