# GPU Allocation

Stay updated with our expert articles and insights on cloud-native and AI infrastructure management and orchestration topics.

## 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.  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/compute-domains-bringing-multi-node-nvlink-awareness-to-kubernetes)

## Bare Metal Isn’t a Business Model: How Cloud Providers Monetize AI Infrastructure  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/monetizing-ai-infrastructure)

## Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/dynamic-resource-allocation-for-gpu-allocation-on-rafays-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.  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/deploy-workload-using-dra-resourceclaim-in-kubernetes)

## 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.  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/introduction-to-dynamic-resource-allocation-dra-in-kubernetes)

## Rethinking GPU Allocation in Kubernetes  
Kubernetes has cemented its position as the de-facto standard for orchestrating containerized workloads in the enterprise.  
[Read Now](https://info@rafay.co/ai-and-cloud-native-blog/rethinking-gpu-allocation-in-kubernetes)