Why vLLM is the Standard for High-Throughput LLM Serving

When moving an LLM from a notebook to production, the biggest challenge is serving it efficiently. vLLM has emerged as the industry standard because of its unique memory management technology.

The Power of PagedAttention

In traditional serving, GPU memory is wasted due to fragmentation. vLLM introduces PagedAttention, which treats the KV cache like virtual memory in an operating system. This allows for near-zero memory waste, enabling much larger batch sizes and significantly higher throughput for your inference server.

Continuous Batching and Low Latency

vLLM uses "continuous batching," meaning new requests can join the current generation process without waiting for the entire batch to finish. This drastically reduces wait times for users and ensures that your hardware is always utilized at its maximum capacity, lowering your overall infrastructure costs.