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Implementing Fractional GPUs in Kubernetes with Aliyun Scheduler
Jan. 22, 2024, 11:44 p.m. | /u/Tiny_Cut_8440
machinelearningnews www.reddit.com
It demonstrates how splitting a single GPU into seven smaller units can save up to 50% in costs, each unit having its own resources. The author shares valuable experiences and insights on various open-source frameworks, highlighting the Aliyun GPU Scheduler Extender as a standout tool despite its complex setup in Kubernetes.
It's a great read for anyone who aims to optimize …
author costs frameworks gpu highlighting insights kubernetes machinelearningnews resources save setup shares tool units
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