ملف الباحث

Fiodar Kazhamiaka

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute

    2026 · Zenodo (CERN European Organization for Nuclear Research)

    As AI inference scales to billions of queries, estimates of per-query energy use are increasingly important for capacity planning, efficiency interventions, and policy. Yet many public estimates assume non-production settings, leading to systematic overestimation. We …