It includes accelerator time, memory, storage, networking, orchestration, idle capacity, and operational overhead. Utilization, model size, precision, batching, and workload shape determine cost per training run or inference.
AI compute cost is the expense of the hardware and services used to train or run AI models.
It includes accelerator time, memory, storage, networking, orchestration, idle capacity, and operational overhead. Utilization, model size, precision, batching, and workload shape determine cost per training run or inference.