Tag: vLLM

Speculative Decoding Pipelines: Draft-and-Verify for Production LLMs

Speculative Decoding Pipelines: Draft-and-Verify for Production LLMs

Learn how speculative decoding accelerates LLM inference using draft-and-verify architectures. Explore Medusa, vLLM implementation, and production tips for 2x-3x speedups.

Read More
Batched Generation in LLM Serving: How Request Scheduling Impacts Outputs

Batched Generation in LLM Serving: How Request Scheduling Impacts Outputs

Batched generation in LLM serving uses dynamic request scheduling to boost throughput by 3-5x. Learn how continuous batching, PagedAttention, and learning-to-rank algorithms make AI responses faster and cheaper - and why most systems still get it wrong.

Read More