# Rafay 日跟踪 · 2026-09-15
> 日期：2026-09-15（Asia/Shanghai，周二）。原料：archive/2026-09-15/rafay/。上一日成功日跟踪 2026-09-14。Rafay×Red Hat 联合主权 AI 稿本日未再入 redhat 归档包（以既有续档为准）。

## 摘要
- **本日无公开战略级新稿**；相对 2026-09-14 无独立 Rafay.com 新版本号通稿。
- **续档仍有效**：NVIDIA-Certified Hypervisors（GPU **VMaaS**）；AI Token Factory；KVM VMaaS 近裸金属/按秒计量叙事；Rafay × Red Hat「Sovereign AI Cloud as a Service」联合参考架构（redhat 侧历史归档）。
- **编排/商业化层，不是超融合套件。**

## 原文摘录

### [Rafay Achieves NVIDIA-Certified Hypervisors Status](https://rafay.co/press-release/rafay-achieves-nvidia-certified-hypervisors-status) · 续档
- 归档：`rafay/rafay-achieves-nvidia-certified-hypervisors-status-rafay-e2b55717.txt`
- URL：https://rafay.co/press-release/rafay-achieves-nvidia-certified-hypervisors-status
> Certification validates the Rafay Platform's GPU-powered Virtual Machines-as-a-Service (VMaaS) solution for the operationalization of AI workloads
> SUNNYVALE, Calif., Aug. 27, 2026 /PRNewswire/ -- Rafay Systems, a leading platform provider for AI infrastructure orchestration, operations, and monetization, today announced that the company's Virtual Machines-as-a-Service offering, a top-selling capability available to Rafay customers through the Rafay Platform, has been certified by NVIDIA for use with NVIDIA HGX systems, as well as NVL72 rack-scale systems.
> The certification provides enterprises and cloud providers with greater confidence in using virtualization as part of production AI infrastructure. The NVIDIA-Certified Hypervisors program evaluates representative performance-critical behaviors across compute, memory, data-path efficiency, and large language model (LLM) inference, helping organizations identify virtualization platforms and infrastructure software designed to support demanding AI and accelerated computing workloads.
> As enterprises, Neoclouds, telecommunications providers, and sovereign AI operators expand AI infrastructure, virtualization is increasingly important for efficiently sharing expensive accelerated computing resources across customers, teams, and applications.
> The Rafay Platform enables organizations to turn GPU infrastructure into secure, governed, multi-tenant AI platforms while providing developers and data scientists with self-service access to bare metal, virtual machines, Kubernetes clusters, SLURM environments, and AI services.
>（**认证范围以伙伴自述为准**）

### [AI Token Factory | Turn GPU Inference into Monetizable AI Services](https://rafay.co/platform/ai-token-factory) · 续档
- 归档：`rafay/ai-token-factory-turn-gpu-inference-into-monetizable-ai-services-rafay-effef6c6.txt`
- URL：https://rafay.co/platform/ai-token-factory
> （Token Factory / 推理商业化；能力描述为**厂商自称**）

### [Rafay-Powered Virtual Machines as a Service](https://rafay.co/solutions/rafay-powered-virtual-machines-as-a-service) · 续档
- 归档：`rafay/rafay-powered-virtual-machines-as-a-service-rafay-platform-06298d60.txt`
- URL：https://rafay.co/solutions/rafay-powered-virtual-machines-as-a-service-vmaas
> （VMaaS / KVM 编排层叙事）

## 对基础档案的影响
- NVIDIA 认证 / Token Factory / VMaaS / 主权 AI 联合架构续档维持；本日无档案字段变更。