# DRA

Building an AI factory? Learn how the Rafay Platform's Token Factory capabilities can monetize AI services.

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## Trusted by leading enterprises, neoclouds and service providers

**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.

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**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

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**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.