# gpu paas

Stay updated with our expert articles and insights on cloud-native and AI infrastructure management and orchestration topics.

## News

**Rafay and Dell Technologies Forge a Faster Path to Production AI**  
Dell and Rafay are forging a faster path to production AI by delivering a powerful solution to help enterprises, telcos and neoclouds to build and scale sovereign AI platforms with confidence. With a full-stack approach and automation at its core, this joint offering supports innovation while ensuring operational control, compliance, data sovereignty and rapid ROI.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/rafay-and-dell-technologies-forge-a-faster-path-to-production-ai)

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**Compute Domains: Bringing Multi-Node NVLink Awareness to Kubernetes**  
Learn how compute domains and multi-node NVLink enable high-performance, distributed GPU workloads in Kubernetes, improving scalability, resource utilization, and AI infrastructure efficiency.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/compute-domains-bringing-multi-node-nvlink-awareness-to-kubernetes)

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**Scaling Trust: The Fortanix and Rafay Integration for Enterprise Confidential AI**  
Learn how the Fortanix and Rafay integration enables confidential AI for enterprises—protecting sensitive data while running AI workloads on secure, governed GPU platforms.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/scaling-trust-the-fortanix-and-rafay-integration-for-enterprise-confidential-ai)

## Product & integrations

**‍Rafay Launches AI Grid Orchestration Solution to Help Telcos Intelligently Deploy Distributed AI Infrastructure‍**  
Rafay, a member of the NVIDIA Inception program, brings infrastructure orchestration and workload automation to AI Grid architectures, enabling telcos and service providers to transform distributed GPU environments into a governed, self-service platform.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/rafay-launches-ai-grid-orchestration-solution-to-help-telcos-intelligently-deploy-distributed-ai-infrastructure)

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**How GPU Clouds Deliver NVIDIA Run:ai as Self-Service with Rafay GPU PaaS**  
Learn how Rafay GPU PaaS enables GPU Clouds to offer NVIDIA Run:ai as a fully automated, multi-tenant managed service delivered through self-service with lifecycle management and turnkey deployment.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/how-gpu-clouds-deliver-nvidia-run-ai-as-self-service-with-rafay-gpu-paas)

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**Simplifying AI Workload Delivery for Platform Teams in 2025**  
AI workloads are growing more complex by the day, and platform teams are under immense pressure to deliver them at scale—securely, efficiently, and with speed.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/simplifying-ai-workload-delivery-for-platform-teams-in-2025)

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**Why GPUs Are Essential for AI Workloads**  
As artificial intelligence and machine learning continue to evolve, one thing has become clear: not all infrastructure is created equal.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/why-gpus-are-essential-for-ai-workloads)

## Best practices

**IaaS vs PaaS vs SaaS: The Cloud Computing Stack Demystified**  
In today’s cloud-first world, understanding the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) is essential for IT decision-makers. These three core cloud models form the backbone of digital transformation, each providing unique benefits and levels of abstraction.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/iaas-vs-paas-vs-saas-the-cloud-computing-stack-demystified)

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**What Is Platform as a Service (PaaS)?**  
Platform as a Service (PaaS) is a cloud computing model, often referred to as the PaaS model, that provides a robust framework for developers to build, test, deploy, and manage applications efficiently.

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/what-is-platform-as-a-service-paas)

## GPU Cloud

**What is a GPU PaaS™?**  
GPU Platform as a Service (GPU PaaS) is a cloud-native model that gives developers and data scientists secure, on-demand access to GPU resources for running AI, GenAI, and ML workloads. Rafay’s GPU PaaS™ stack simplifies GPU delivery across any environment—enabling faster time-to-market and maximum return on GPU investments, allowing you to immediately monetize your GPU (which historically are quite expensive and difficult to access).

[Read Now](https://product@rafay.co/ai-and-cloud-native-blog/what-is-gpu-paas)

## Trusted by leading enterprises, neoclouds and service providers

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