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GAUSS simulator targets workload-aware LLM inference serving

This story is from 2026-10-30. It is preserved in the archive; the latest stories are on the live feed.

Researchers introduced GAUSS, an analytical and Monte-Carlo simulator designed to help provision, monitor, and bill LLM inference workloads against latency service-level objectives.

Read the full story at arXiv cs.AI ↗

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  1. 2026-10-30 04:00 · arXiv cs.AI
    GAUSS: A Workload-Aware Analytical and Monte-Carlo Simulator for LLM Inference Serving

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