1. Capacity Modelling advanced

    A compute platform must plan accelerator capacity where lead times are months, demand is uncertain, and jobs vary from minutes to weeks. How should the capacity model be built?

    2 min answer capacity-modellinglead-timeuncertaintyscheduling
  2. Capacity Modelling advanced

    A game hosts a scheduled in-world event for 30 million concurrent players. How should matchmaking, instance allocation, pre-scaling, login queues and degradation be planned, and what is rehearsed?

    3 min answer epic-gamesfortnitelive-eventsmatchmaking
  3. Capacity Modelling advanced

    A training cluster has 512 NVIDIA H100-class GPUs in 64 eight-GPU nodes and the scheduler reports 96 GPUs free. Roughly how much collective bandwidth per GPU does a new 64-GPU job get, and what should the capacity report say instead of "96 GPUs free"?

    3 min answer nvidianvlinkncclfragmentation
  4. Capacity Modelling intermediate Multiple choice

    Alibaba reported a peak of 583,000 order creations per second during Singles' Day in 2020. Suppose one promoted item accounts for 0.5% of those orders and its stock is held in a single row. Roughly how many updates per second does that row have to absorb?

    2 min answer alibabaflash salehot keywrite contention
  5. Capacity Modelling intermediate Multiple choice

    You run in three availability zones and must survive losing one. What is your maximum normal utilisation and why?

    2 min answer capacityheadroomfailure-domainsutilisation
  6. Capacity Modelling intermediate Multiple choice

    Zoom's CEO wrote on 1 April 2020 that maximum daily meeting participants went from roughly 10 million at the end of December 2019 to more than 200 million in March 2020. For any platform absorbing a 20× demand rise over three months rather than three minutes, which capacity decision does the slower surge force that the fast one does not?

    3 min answer zoomcapacity-modellinglead-timequota