# Neocloud

**How Rafay Turns NeoClouds and Telco AI Clouds into Token-Metered Revenue Engines**  
Learn how telcos and NeoClouds can turn sovereign AI infrastructure into token-metered services with Rafay, enabling inference APIs, billing, governance, and monetization.  
[Read Now](/content/ai-and-cloud-native-blog/how-rafay-turns-neoclouds-and-telco-ai-clouds-into-token-metered-revenue-engines/index.html)

**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](/content/ai-and-cloud-native-blog/scaling-trust-the-fortanix-and-rafay-integration-for-enterprise-confidential-ai/index.html)

**Rafay Joins VAST Cosmos to Enable Governed GPU-Powered AI Services**  
Rafay has joined the VAST Cosmos Community as a Technology Partner, aligning its AI-native cloud control plane with the VAST AI Operating System to help organizations operationalize GPU-powered AI. Together, Rafay and VAST integrate governed compute orchestration and scalable data services, enabling NeoCloud providers and enterprises to transform raw infrastructure into consistent, production-ready AI platforms.  
[Read Now](/content/ai-and-cloud-native-blog/rafay-joins-vast-cosmos-to-enable-governed-gpu-powered-ai-services/index.html)

**GPU Cloud Billing: From Usage Metering to Billing**  
In this blog, we take the next step toward a complete billing workflow—automatically transforming usage into billable cost using SKU-specific pricing.  
[Read Now](/content/ai-and-cloud-native-blog/gpu-cloud-billing-from-usage-metering-to-billing/index.html)

**GPU/Neocloud Billing using Rafay’s Usage Metering APIs**  
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.  
[Read Now](/content/ai-and-cloud-native-blog/gpu-neocloud-billing-using-rafays-usage-metering-apis/index.html)

**Neocloud Providers: Powering the Next Generation of AI Workloads**  
Artificial intelligence teams face critical challenges today: Limited GPU availability, orchestration complexity, and escalating costs threaten to slow AI innovation.  
[Read Now](/content/ai-and-cloud-native-blog/neocloud-providers-powering-the-next-generation-of-ai-workloads/index.html)

## Trusted by leading enterprises, neoclouds and service providers

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