In the rapidly evolving datacenter landscape, the rise in AI accelerators and graphics processing unit (GPU) rack deployments for high-performance computing and AI workloads is altering operational and financial frameworks. As demand for AI accelerators grows, the cost to deploy GPU racks can be 5-10 times the cost for traditional equipment racks, and GPU deployments often necessitate additional investments in power and cooling infrastructure. When scaled across a datacenter, this not only increases the capital expenditure required for construction or upgrades but also heightens risk exposure in the event of an outage. Whether outages are caused by weather-related disruptions, incidents such as fire, smoke or accidental activation of fire-suppression systems, or human error, the financial implications are substantial.
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