AI Infrastructure Management
AI Infrastructure Management
Stay updated with our expert articles and insights on cloud-native and AI infrastructure management and orchestration topics.
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.
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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.
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Token Factory Is Now Generally Available: How AI Factory Operators Can Monetize Token-Based AI Services
Rafay Token Factory enables AI factory operators to monetize GPU infrastructure with token-based AI APIs, metering, and self-service consumption at scale.
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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.
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Simplifying AI Application Management with Kubernetes: The Rafay Advantage
Artificial Intelligence (AI) applications have revolutionized industries, but managing and scaling these complex applications – and the large language models (LLMs) powering them - can be a daunting task. This is where Rafay Systems steps in, offering a unified platform from which enterprises can streamline and automate the lifecycle of AI applications and their dependencies, enabling them to unlock the full potential of their AI initiatives.
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