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When technology is comparatively inexpensive, companies use a common parameter to measure capacity often referred to as “headroom”.
However, when that kind of thinking is applied to hardware that represents a significantly higher capital expenditure – such as GPUs critical for applications– it can overwhelm an OEM’s budget.
This white paper explores virtualizing GPUs and CPUs that rarely operate anywhere near capacity. Open now to learn more about implementing CPU/GPU virtualization in your organization, including advantages, business risks and more.