available gpu capacity
📖 Definitions
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The portion of a GPU's total computational power, memory, or processing units that is currently unallocated and ready to be used for tasks such as rendering, machine learning training, or data processing.; The amount of graphics processing hardware resources in a system or cluster that are not currently occupied by other processes and are therefore accessible for new workloads.
💬 Examples
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Developers often monitor the available GPU capacity to ensure their deep learning models can train efficiently without running out of memory.
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Consequently, the scarcity of available GPU capacity has created a highly competitive marketplace where supply struggles to meet intense demand.