Reliability, Resilience & Standards

Tier and Rated assessments cover defined facility scopes, not the job. Choose your job fault domains, blast-radius limits and recovery separately, then buy concurrent maintainability, fault tolerance or both for the facility states you must survive, at the lowest lifecycle cost.

An AI cluster earns its return on goodput, the share of bought GPU-hours doing useful work. For checkpointed training, the next redundancy dollar buys more goodput than facility nines; for SLA inference it does not. Price both above the facility states the contract requires.

DR for an AI factory is a per-workload choice about how much spare capacity to pre-pay, and where. When power-bound activation would miss the RTO, energize the spare region beforehand and reserve surviving state, compatible GPUs and promotion authority, so verified restoration fits the RTO.

Promise facility availability to a tenant who pays for goodput, and the SLA tracks neither the customer's pain nor the provider's control. Match the contracted metric to the workload.

RBDs, fault trees, Markov chains and Monte-Carlo turn the redundancy debate into a calculation in which every availability figure and percent of goodput traces to event, exposure and recovery inputs. Use one event inventory, reproduce the loss distributions, and price the uncertainty before you spend.