7 Ways to Slash LLM Inference Latency and Cut Costs
The article breaks down seven engineering tricks—model quantization, KV‑caching, pipeline parallelism, model distillation, speculative decoding, prompt optimization, and GPU‑aware serving—to cut both time‑to‑first‑token and per‑token generation time. Faster responses improve user experience and trim expensive compute bills in production LLM apps.