Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
Turn GPU infrastructure into secure, token-metered model APIs. Rafay delivers serverless inference with built-in multi-tenancy, governance, and usage-based monetization so you can move from raw GPUs to production-ready AI services.
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An AI Token Factory is the operating layer that transforms GPU infrastructure into governed, consumable AI services.
Instead of exposing raw GPUs or unmanaged clusters, organizations deliver production-ready model APIs that are:
Serverless inference is how models are delivered. A Token Factory is how they are scaled, controlled, and turned into repeatable services.
Consider it a system designed to generate, process, and manage large volumes of AI model tokens at scale. It combines model serving, orchestration, and optimized inference infrastructure to efficiently convert compute resources into high-throughput token generation for production AI applications.
Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.
Rafay enables GPU clouds and enterprises to deliver model inference as an on-demand service without exposing infrastructure complexity.
Instantly deliver popular open-source LLMs (e.g., Llama 3.2, Qwen, DeepSeek) using OpenAI-compatible APIs to your customer base—no code changes required.
Deliver a hassle-free, serverless experience to your customers looking for the latest and greatest GenAI models.
Flexible usage-based billing with complete cost transparency and historical usage insights.
HTTPS-only endpoints with bearer token authentication, full IP-level audit logs, and token lifecycle controls.
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.
