AIKDnuggetsabout 3 hours ago
7 Ways to Cut LLM Inference Latency
1 min read
Quantization, KV caching, speculative decoding, continuous batching, pruning, distillation, and dedicated serving frameworks like vLLM, TGI, and TensorRT-LLM reduce LLM inference latency. Quantization shrinks memory footprint, while speculative decoding accelerates generation 2x to 3x. Prompt compression and caching cut TTFT by sending less data.
Level
Hype check
Tap to vote and see what everyone thinks.
Summary by ByteBrief
