rafaysystems
Helping enterprises and GPU cloud providers turn raw compute into production-ready AI platforms that are consumable, controllable, and monetized.
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See how Rafay streamlines Kubernetes operations with namespaces as a service, enhancing automation and governance.
Access the Resource Library
Access the Resource Library
Learn more about Kubernetes and Rafay with educational content and product information here.
NVIDIA & Rafay Reference Architecture
NVIDIA & Rafay Reference Architecture
Explore Rafay’s Reference Architecture with NVIDIA for SaaS-first infrastructure operations across Kubernetes and AI workloads.
Infrastructure orchestration and workflow automation
Infrastructure orchestration and workflow automation
Rafay powers GPU cloud environments with a turnkey GPU PaaS solution—built for enterprises and service providers to deploy, scale, and manage AI workloads with ease.
Explore the Rafay platform
Explore the Rafay platform
The Rafay Platform delivers a turnkey PaaS experience for AI and cloud-native workloads—enabling enterprises and service providers to orchestrate, govern, and scale infrastructure with ease.
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Rafay builds infrastructure orchestration and workflow automation software that powers self-service compute consumption for Sovereign AI Clouds, Cloud Service Providers & large Enterprises. Customers leverage the Rafay Platform to orchestrate multi-tenant consumption of cloud-native and AI infrastructure along with AI platforms and applications such as AI-Models-as-a-Service, Accenture's AI Refinery, and other 3rd-party applications. On this channel, you’ll find tutorials, demos, and expert discussions on AI and cloud-native (Kubernetes) infrastructure orchestration and workflow automation. Learn how to build governed, multi-tenant GPU clouds, accelerate AI/ML workflows, and deliver modern, self-service environments across public cloud, private data centers, or sovereign deployments. Subscribe to stay ahead of the curve with best practices for scaling AI workloads, optimizing GPU utilization, and empowering teams to innovate—without complexity or bottlenecks.
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Rafay | LinkedIn
Rafay | LinkedIn
Rafay | 8,747 followers on LinkedIn. Elevate infrastructure to become a launchpad for innovation. | The Rafay Platform automates the operations and consumption of compute infrastructure so businesses can focus on innovation and impact. Rafay customers turn siloed, fragmented, and complex compute environments into well-oiled, self-service engines that empower enterprises, cloud service providers and sovereign AI clouds to build and deploy cloud-native applications – including AI workloads –without limitations, to scale without barriers, and accelerate productivity without roadblocks.
View AI Infrastructure Use Cases
View AI Infrastructure Use Cases
Explore Rafay’s key use cases—self-service compute consumption, AI infrastructure management, and GPU cloud orchestration for faster business outcomes.
Follow us on LinkedIn
Follow us on LinkedIn
Rafay | 8,653 followers on LinkedIn. Elevate infrastructure to become a launchpad for innovation. | The Rafay Platform automates the operations and consumption of compute infrastructure so businesses can focus on innovation and impact. Rafay customers turn siloed, fragmented, and complex compute environments into well-oiled, self-service engines that empower enterprises, cloud service providers and sovereign AI clouds to build and deploy cloud-native applications – including AI workloads –without limitations, to scale without barriers, and accelerate productivity without roadblocks.
Watch our latest demos
Watch our latest demos
Rafay builds infrastructure orchestration and workflow automation software that powers self-service compute consumption for Sovereign AI Clouds, Cloud Service Providers & large Enterprises. Customers leverage the Rafay Platform to orchestrate multi-tenant consumption of cloud-native and AI infrastructure along with AI platforms and applications such as AI-Models-as-a-Service, Accenture's AI Refinery, and other 3rd-party applications. On this channel, you’ll find tutorials, demos, and expert discussions on AI and cloud-native (Kubernetes) infrastructure orchestration and workflow automation. Learn how to build governed, multi-tenant GPU clouds, accelerate AI/ML workflows, and deliver modern, self-service environments across public cloud, private data centers, or sovereign deployments. Subscribe to stay ahead of the curve with best practices for scaling AI workloads, optimizing GPU utilization, and empowering teams to innovate—without complexity or bottlenecks.
Explore our Open Source projects
Explore our Open Source projects
Rafay Systems, Inc. has 104 repositories available. Follow their code on GitHub.
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