Why do we need Custom Schedulers for Kubernetes?
The Kubernetes scheduler is the brain that is responsible for assigning pods to nodes based on resource availability, constraints, and affinity/anti-affinity rules. For small to medium-sized clusters running simple stateless applications like web services or APIs, the default Kubernetes scheduler is a great fit. The default Kubernetes scheduler manages resource allocation, ensures even distribution of workloads across nodes, and supports features like node affinity, pod anti-affinity, and automatic rescheduling.
The default scheduler is extremely well-suited for long-running applications like web services, APIs, and microservices. Learn more about the scheduling framework.
Unfortunately, AI/ML workloads have very different requirements that the default scheduler cannot satisfy!
