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Background:
In OpenShift, the Dynamic Resource Allocation (DRA) framework manages the allocation of specialized hardware resources like GPUs and NICs. Traditionally, DRA requires explicit specification of the exact resource type, limiting flexibility and potentially leading to suboptimal resource utilization.
Enhancement Summary:
KEP-4816 introduces the ability to specify a prioritized list of acceptable device types within a single resource claim. This means that a pod can request multiple alternative devices, ordered by preference, and the scheduler will attempt to allocate the highest-priority available device. This enhancement allows for more flexible and efficient scheduling, especially in heterogeneous hardware environments.GitHub
Use Cases in OpenShift
| Use Case | Description |
|---|---|
| Flexible GPU Allocation | Allow AI/ML workloads to utilize any available GPU type (e.g., NVIDIA A100, V100, T4), prioritizing preferred models but falling back to others if necessary. |
| Mixed Hardware Environments | Enable workloads to run on nodes with varying hardware capabilities by specifying acceptable alternatives. |
| Resource Optimization | Improve cluster resource utilization by allowing the scheduler to choose from multiple device types, reducing scheduling failures due to strict resource requirements. |
| Simplified Deployment Configurations | Reduce the need for multiple deployment manifests targeting specific hardware, streamlining application deployment processes. |
