# Agent 承载 · 日跟踪 · 2026-09-18

> 日期：2026-09-18（Asia/Shanghai）。专题正文：`intel/topics/agent-hosting.md`。原料：`/workspace/intel/archive/2026-09-18/`；对照 2026-09-17 日跟踪。

## 摘要

- **新稿 · Alquimia / Gaussia / EvalHub on OpenShift AI：** 企业从单 Agent notebook → 多 Agent 舰队时，用 Gaussia 指标族 + EvalHub 编排 + MLflow 落库，做行为回归、红队与安全探针（含 Granite Guardian on vLLM）；强调主权边界内评估——**本日 Agent 承载主信号**（交叉 openshift / inference）。
- **轻交叉 · Nutanix「统一混合云+AI 运维」+ neocloud 风险清单：** CTO 文主张异构下追求运营一致性（VM/容器/Agent/GPU）；neocloud 文列基础设施/网络/数据/安全/合规/运维/功率七维风险——**治理与选址旁证**，非新 Agent 运行时 GA。
- **续档 · OpenShell DP / Nutanix MCP Gateway·Agent Gateway / Google agentic / AutoRAG TP。**
- **不抬升：** 将 Server Virt MQ 或 onsemi 功率写成 Agent 运行时新品。

## 原文摘录

### Alquimia · OpenShift AI 上的 Agent 舰队评估

- 归档：`redhat/scaling-enterprise-ai-fleets-with-alquimia-and-red-hat-openshift-ai-0cba7962.txt`
- URL：https://www.redhat.com/en/blog/scaling-enterprise-ai-fleets-alquimia-and-red-hat-openshift-ai

> Building an AI agent in a Jupyter Notebook is a solved problem. … when an enterprise scales from a single developer's passion project to a fleet of dozens of autonomous agents…  
> … Gaussia evaluation framework, EvalHub job orchestration, and MLflow…  
> Humanity metrics… Context and conversational sufficiency… Agentic verification… Safety and guardrails…

### Nutanix · 统一运维 / neocloud（轻）

- `nutanix/unify-infrastructure-operations-for-hybrid-cloud-and-ai-874cb4fd.txt`  
  URL：https://www.nutanix.com/blog/unify-infrastructure-and-operations-to-minimize-silos  
  > As agentic AI moves from experimentation into production, infrastructure fragmentation becomes both an operational inconvenience and a business constraint.
- `nutanix/how-to-evaluate-neocloud-risks-for-enterprise-ai-nutanix-08ba55de.txt`  
  URL：https://www.nutanix.com/blog/7-enterprise-ai-infrastructure-risks-evaluate-before-choosing-neoclouds  
  > Assessing risk across six core dimensions…（正文展开为基础设施/网络/数据/安全/合规/运维/环境功率等问询清单）

### 续档指针

- OpenShell DP / MCP Gateway：见 `tracking/topics/agent-hosting/2026-09-16.md` 与 openshift 日跟踪。