AI and GPUs

‍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.

From Infrastructure Validation to Market Validation: Rafay and NVIDIA DSX Air

Cloud service providers and enterprises that move fast, validate early, and get AI services in front of customers quickly will define the next era of AI infrastructure. NVIDIA DSX Air gives teams a pre-production simulation, to get a head start on the competition. Rafay makes that head start count by letting cloud service providers simulate business use cases and get customer feedback well before accelerated computing hardware is deployed.

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.

What Is an AI Factory? A Strategic Guide for Enterprises and Cloud Providers

Bare Metal Isn’t a Business Model: How Cloud Providers Monetize AI Infrastructure

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.

What Is a Sovereign Cloud and Why Does It Matter?

A sovereign cloud is a cloud computing solution that ensures data remains within a country’s borders and complies with local laws.

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.

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.