Rafay Systems and Aviz Networks Partner for GPU Cloud Orchestration
Partnership Enables Enterprises and Graphics Processing Unit (GPU) Cloud Providers to Rapidly Operationalize Multi-Tenant Artificial Intelligence (AI) Fabrics with Self-Service and Network Visibility
SAN JOSE, Calif. & SUNNYVALE, Calif. - 3 Nov, 2025 - Rafay Systems and Aviz Networks announced a partnership aimed at enhancing the deployment of GPU cloud infrastructure. This collaboration seeks to improve the adoption and monetization of GPU resources through a unified orchestration solution.
This integrated approach combines Rafay’s Kubernetes capabilities and GPU lifecycle management with Aviz's AI-optimized fabric orchestration and tenant-aware network automation. The solution allows enterprises and GPU cloud providers to leverage self-service workflows, ensuring secure and efficient consumption of GPU resources. Key features include:
- End-to-End Self-Service: Developers and data scientists have on-demand access to GPU and Central Processing Unit (CPU) resources with secure, tenant-aware network automation.
- AI-Ready Fabric Orchestration: Aviz ONES manages networking to optimize performance and workload isolation.
- Multi-Tenancy at Scale: Rafay oversees tenant and GPU binding in Kubernetes clusters, while Aviz enables GPU mapping for effective resource management.
- Full Stack Observability (FSO): Real-time insights across compute and network layers aim to reduce troubleshooting times.
- Rapid Time-to-Market: The solution allows for GPU cloud deployments in weeks, integrating APIs to automate workflows.
Haseeb Budhani, CEO and Co-Founder of Rafay Systems, noted, “Cloud providers and enterprises need a simple way to consume GPU infrastructure without reinventing orchestration stacks.”
Vishal Shukla, CEO and Co-Founder of Aviz Networks, stated, “With Rafay, we deliver a powerful combination: Rafay's compute lifecycle automation with Aviz's orchestration and observability.”
As investment in GPU infrastructure rises, challenges persist in deploying multi-tenant, observable GPU clouds. The Rafay and Aviz partnership addresses these challenges, streamlining the integration of compute orchestration with fabric control, thus facilitating resource utilization across multi-vendor GPU environments.