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Partitioning is a way to divide GPU resources into smaller slices. This allows Pods to be scheduled only on the memory/compute resources they actually need, thus increasing GPU utilization and reducing infrastructure costs in Kubernetes clusters.
Shifting focus from just video and gaming, GPU is now being adopted in many fields such as finance, health care, machine learning, data science, and other new fields like cryptomining. This makes it important to be available for use on the cloud for easy accessibility, especially now that companies move from on-premise infrastructure.
However, getting a hold of which cloud providers offer the best GPU service can be difficult, and this article tackles just that.