LLM Inference Compute Design: Strategic Optimization of Performance and Cost
As Large Language Models (LLMs) move into production, optimizing inference compute becomes a critical engineering challenge. This guide explores the trade-offs between latency, throughput, and cost, alongside the latest optimization techniques like speculative decoding and KV cache compression.