Rafay Systems, a leading provider of Platform-as-a-Service (PaaS) solutions for GPU cloud consumption, has joined forces with Aviz Networks, a pioneer in multi-vendor AI networking orchestration and observability. This strategic alliance aims to accelerate the adoption and monetization of GPU cloud infrastructure by offering enterprises and cloud providers a unified, full-stack orchestration platform.

Through this collaboration, Rafay and Aviz are empowering organizations with a seamless orchestration solution that blends Rafay’s enterprise-grade Kubernetes and GPU lifecycle management with Aviz’s AI-optimized fabric orchestration, visibility, and network automation. By integrating these strengths, the partnership enables enterprises to consume GPU resources securely and efficiently through self-service workflows that cover both compute and networking layers.

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This joint solution introduces several advanced capabilities designed to streamline GPU infrastructure management.

  • First, the End-to-End Self-Service feature allows developers and data scientists to instantly access GPU and CPU resources through secure, tenant-aware network automation.
  • Second, AI-Ready Fabric Orchestration powered by Aviz ONES configures and manages Spectrum-X switches, GPU NICs, and server networking, ensuring optimal east-west performance and workload isolation.
  • Third, Multi-Tenancy at Scale enables Rafay to handle tenant and GPU bindings for Kubernetes clusters, while Aviz efficiently maps GPUs and NICs to logical network segments for improved isolation and visibility.
  • Additionally, Full-Stack Observability offers real-time insights across compute and network layers, significantly reducing troubleshooting time and improving ROI on GPU investments.
  • Lastly, the solution’s Rapid Time-to-Market capability allows GPU clouds to be deployed within weeks instead of months by replacing manual provisioning with integrated APIs.

Commenting on the partnership, Haseeb Budhani, CEO and Co-Founder of Rafay Systems, said, “Cloud providers and enterprises need a simple way to consume GPU infrastructure without reinventing orchestration stacks. Our partnership with Aviz gives customers not just self-service compute, but the tools and visibility they need to run AI workloads at scale.”

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Vishal Shukla, CEO and Co-Founder of Aviz Networks, added, “Aviz was founded to make AI networking simple, open, and multi-vendor – while giving networking teams the best experience in this hyper-evolving world of AI fabrics and exponential bandwidth needs. Together with Rafay, we deliver a powerful combination: Rafay’s compute lifecycle automation with Aviz’s fabric-level multi-tenant orchestration and observability. This allows GPU cloud providers to achieve AWS-like efficiency with a simple, intuitive stack.”

As enterprises increasingly invest billions in building AI capabilities, many first-generation GPU clouds still face limitations in multi-tenancy, orchestration, and fabric-level visibility. These challenges often lead to longer deployment cycles, higher operational costs, and underutilized GPU resources. The Rafay and Aviz partnership directly addresses these gaps by tightly integrating compute orchestration with AI fabric control and observability. Consequently, it empowers GPU cloud providers to deliver cloud-like efficiency across any multi-vendor environment while ensuring scalability, transparency, and faster time-to-value.

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