Optimizing enterprise AI is not just about choosing larger models; it is about performance engineering: TTFT (Time-to-First-Token), inter-token latency, speculative decoding, and quantization tradeoffs.
vLLM PagedAttention, speculative drafting with small SLMs, and prefix-caching optimization.