DRA

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Compute Domains: Bringing Multi-Node NVLink Awareness to Kubernetes
Learn how compute domains and multi-node NVLink enable high-performance, distributed GPU workloads in Kubernetes, improving scalability, resource utilization, and AI infrastructure efficiency.

.png)](/content/ai-and-cloud-native-blog/empowering-platform-teams-doing-more-with-less-in-the-kubernetes-era/index.html) Empowering Platform Teams: Doing More with Less in the Kubernetes Era
This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers

.png)](/content/ai-and-cloud-native-blog/dynamic-resource-allocation-for-gpu-allocation-on-rafays-mks-kubernetes-1-34/index.html) Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

Deploy Workload using DRA ResourceClaim in Kubernetes
In this second blog, we installed a Kuberneres v1.34 cluster and deployed an example DRA driver on it with "simulated GPUs". In this blog, we’ll will deploy a few workloads on the DRA enabled Kubernetes cluster to understand how "Resource Claim" and "ResourceClaimTemplates" work.

Introduction to Dynamic Resource Allocation (DRA) in Kubernetes
In this post, we’ll look at how a new GA feature in Kubernetes v1.34 — Dynamic Resource Allocation (DRA) — aims to solve these problems and transform GPU scheduling in Kubernetes.

Rethinking GPU Allocation in Kubernetes
Kubernetes has cemented its position as the de-facto standard for orchestrating containerized workloads in the enterprise.