Posts by Zhang Jiejing
ROCm InferaSim: Cut LLM Serving Trial Costs and Deploy the Best Configuration
- 06 November 2026
Serving an LLM well means making a lot of choices before you know the answer. You pick an engine, a parallel layout, precisions and scheduler settings, and for disaggregated serving a split between prefill and decode. That leaves thousands of candidates, and each trial ties up one or more multi-GPU nodes for minutes. Measuring every candidate in our searches would take about 25,000 GPU-hours, so most teams try a few guesses and keep the best. A guess that misses costs you extra GPUs or a missed latency target.