From installed equipment to a developer's API call
Thousands of accelerators can be installed in powered racks and still be a long way from a useful service. Software has to run the model, networks have to connect related work, storage has to supply information, and schedulers have to allocate resources. Identity, metering, monitoring, and recovery are part of the developer's experience too.
The project, 10,000 Accelerators to One API Call, follows those steps. You will trace a training job separately from an inference request and learn to recognize what someone might mean by 'more compute.' Modules 2–5 supply the groundwork on workloads, facilities, and the supply chain. We will explain the software terms before using them.
The scenarios are conceptual and the numbers hypothetical. Use them to decide what to measure and where a constraint might sit. A production implementation needs documentation for its exact framework, drivers, hardware, network, service version, and configuration.