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Evaluating Inference Compute for Generative AI: A Framework for Enterprise Workloads
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
A research paper presents a framework evaluating LLM inference hardware, noting agentic multi-turn workloads shift hardware performance needs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 7 October 2026
- Collected by OneBench
- 8 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.07094v1 Announce Type: cross Abstract: LLM deployment is shifting from single-turn completion to agentic trajectories in which a model plans, calls tools, reads results and…
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