Tag: LLM inference optimization

Cost-Performance Tuning for Open-Source LLM Inference: A Practical Guide

Learn how to slash LLM inference costs by 70-90% using quantization, continuous batching, and model cascading. A practical guide to optimizing open-source models like Llama-3 without sacrificing performance.

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.