Operationalizing AI Fabrics with Aviz ONES and Rafay
Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, & Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers to effectively transform static infrastructure into a launchpad for AI innovation.
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Enterprises no longer need to choose between control and speed. By combining Aviz, NVIDIA, and Rafay capabilities, platform teams can deliver AI services with both.
Additional Resources
Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
Learn More](/content/white-papers/operationalizing-ai-fabrics-with-aviz-ones-nvidia-spectrum-x-rafay/index.html)
The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.
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Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.
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The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Learn More](/content/research/silicon-media-analyst-report/index.html)
Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar report from GigaOm, Managed Kubernetes Rafay is ranked as an “Outperformer” for its solution.
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Building AI Value within Borders
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.
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GPU cloud evaluation report
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.
Learn More](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
Learn More](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)
Start a conversation with Rafay
Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.