ملف الباحث

Ricardo Bianchini

ورقتان في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Resource Central

    2017

    Cloud research to date has lacked data on the characteristics of the production virtual machine (VM) workloads of large cloud providers. A thorough understanding of these characteristics can inform the providers' resource management systems, e.g. …

  2. 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 …