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club-3090

noonghunna/club-3090

Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for 1× and 2× cards.

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cloudrift-ai

emmy

Benchmark and deploy optimized LLM models on GPU servers with vLLM or SGLang. Chose from a list of optimized recipes for popular models or create your own with custom configurations. Run benchmarks across different GPU types and configurations, track results, and share experiments with the community.

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local-inference-lab

rtx6kpro

RTX 6000 Pro Wiki — Running Large LLMs (Qwen3.5-397B, Kimi-K2.5, GLM-5) on PCIe GPUs without NVLink

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syv-ai

hyperqwen

Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.

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