🐙 GitHub Open Source
• Frameworks & Serving
vLLM: High-Throughput & Memory-Efficient LLM Serving
🐙 vllm-project/vllm ↗
"A high-throughput and memory-efficient inference and serving engine for LLMs featuring PagedAttention and seamless Hugging Face integration."
🔍 Why RAWVI Recommends This Repository
vLLM is the gold standard for deploying LLMs in production. Developed at UC Berkeley, its PagedAttention algorithm reduces memory fragmentation in key-value caches to virtually 0%, enabling 2x–4x higher serving throughput compared to standard Hugging Face pipelines.
Topics & Tags
#llm
#inference
#serving
#pagedattention
#pytorch
#gpu