## Meet Rafay at KubeCon North America 2025

**Where:**

**Georgia World Congress Center**  
285 Andrew Young International Blvd. NW  
Atlanta, GA 3013

**Dates:**

November 10 - 13, 2025

Join Rafay at **booth 1650** and get a demo of the Rafay Platform. Ask us about **Dynamic Resource Allocation** to effectively manage GPUs on Kubernetes.

- **Better GPU Utilization**– DRA lets NVIDIA split and share GPUs (e.g., fractional GPUs, MIG), improving efficiency and avoiding waste.
- **Support for Advanced GPU Features** – It standardizes allocation of GPU features like MIG profiles, SR-IOV, and accelerators across Kubernetes.
- **Cloud-Native AI/ML Ecosystem** – DRA enables multi-tenancy, elasticity, and fair scheduling for AI/ML workloads, making Kubernetes more GPU-friendly.
- **Easier Integration with GPU Operator**– NVIDIA can integrate its GPU Operator cleanly with Kubernetes scheduling instead of relying on custom hacks.
- **Strategic Advantage in AI Infrastructure** – By shaping DRA, NVIDIA ensures its GPUs and accelerators remain the go-to choice for cloud-native AI infrastructure.

## Rafay's Valued Partnerships:

## Featured Resources

\
\**Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud**  
\Learn More](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)

\
\**GPU cloud evaluation report**  
\Learn More](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)

\
\**From GPUs to Revenue: A Practical Guide to AI Factory Builds**  
\Learn More](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)

\
\**AI Token Factory**  
\Learn More](/content/resources/datasheets/ai-token-factory/index.html)