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Model Performance Engineering: Latency, Cost, and Benchmarking in Enterprise AI

A practical guide to model performance engineering, optimizing TTFT, throughput, and inference costs across enterprise workloads.
August 28, 2026
Blog
Model Performance Engineering: Latency, Cost, and Benchmarking in Enterprise AI

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.

Key Performance Techniques

vLLM PagedAttention, speculative drafting with small SLMs, and prefix-caching optimization.