Implement Fractional GPUs in Kubernetes to save upto 50% cost

Check out this detailed tutorial featured on the Hugging Face blog about utilizing fractional GPUs in Kubernetes.

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 their GPU resources for specific workload requirements.