## Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

This blog demonstrates how to leverage **Dynamic Resource Allocation (DRA)** for efficient GPU allocation using **Multi-Instance GPU (MIG)** strategy on Rafay's Managed Kubernetes Service (MKS) running Kubernetes 1.34.

In our previous blog series, we covered various aspects of Dynamic Resource Allocation (DRA) in Kubernetes:

- **[Introduction to Dynamic Resource Allocation (DRA) in Kubernetes](https://docs.rafay.co/blog/2025/08/23/introduction-to-dynamic-resource-allocation-dra-in-kubernetes/)** — what it is and why it matters
- **[Enable Dynamic Resource Allocation (DRA) in Kubernetes](https://docs.rafay.co/blog/2025/08/28/enable-dynamic-resource-allocation-dra-in-kubernetes/)** — configuring DRA on a Kubernetes 1.34 cluster using kind
- **[Deploy Workload using DRA ResourceClaim/ResourceClaimTemplate in Kubernetes](https://docs.rafay.co/blog/2025/09/16/deploy-workload-using-dra-resourceclaim-in-kubernetes/)** — deploying and managing DRA workloads natively on Kubernetes

DRA is GA in Kubernetes 1.34

With Kubernetes 1.34, Dynamic Resource Allocation (DRA) is **Generally Available (GA)** and **enabled by default** on MKS clusters. This means you can immediately start using DRA features without additional configuration.

### Prerequisites

Before we begin, ensure you have:

- A Rafay MKS cluster running Kubernetes 1.34 (see [MKS v1.34 Blog](https://docs.rafay.co/blog/2025/10/06/kubernetes-v134-for-rafay-mks/))
- GPU nodes with compatible NVIDIA GPUs (A100, H100, or similar MIG-capable GPUs)
- Container Device Interface (CDI) enabled (automatically enabled in MKS for Kubernetes 1.34)
- Basic understanding of Dynamic Resource Allocation concepts (covered in our [previous blog series](https://docs.rafay.co/blog/2025/08/23/introduction-to-dynamic-resource-allocation-dra-in-kubernetes/))
- Active Rafay account with appropriate permissions to manage MKS clusters and addons