# 成本优化 · 日跟踪 · 2026-09-15

> 日期：2026-09-15（Asia/Shanghai）。专题正文：`intel/topics/cost.md`。原料：`/workspace/intel/archive/2026-09-15/`；对照 2026-09-14 日跟踪。

## 摘要

- **新稿 · OpenShift AI Speculator training 经济学：** 文称企业生成式 AI 开支 **70%–80%+ 在推理非训练**；H100 云价示例 **$2–$5/GPU·小时**；投机解码生产侧常 **2.5×–3.5×** 降 inter-token 延迟（EAGLE3 论文宣称确定性下至 4×–6×）——**厂商博客 + 引用研究，未独立核实**；Managed Speculator training「即将」进 OpenShift AI，**非已 GA 功能价目**。
- **新稿交叉 · Seagate：** SSD 约 disk **6.5×/TB**（媒体）→ AI 数据分层控本叙事。
- **续档：** Gartner STaaS / 2027 存储开支 250%–300%（**研究推算**）；Proxmox 24/7 订阅价目；OVE 首年免费 / VDDK 合同成本。

## 原文摘录

### Speculator · 推理账单杠杆

- 归档：`redhat/from-fine-tuned-model-to-cheaper-and-faster-inference-speculator-train-eb9403d6.txt`
- URL：https://www.redhat.com/en/blog/fine-tuned-model-cheaper-and-faster-inference-speculator-training-red-hat-openshift-ai-kubeflow

> … 70 to 80 percent or more of enterprise AI spending goes to inference, not training.  
> … real world vLLM production deployments consistently achieving 2.5x to 3.5x reductions in inter-token latency…  
> … At current cloud rates of $2 to $5 per hour per H100 GPU, a 3x inference throughput improvement translates to… Serve the same workload on fewer GPUs… or Serve more requests on the same hardware…  
> Red Hat is building managed speculator training into Red Hat OpenShift AI…

### Seagate · $/TB（交叉）

- `industry/seagate-bigging-up-disk-drives-as-strategic-ai-data-stores-c0671243.txt`  
  > … SSDs now costing 6.5 times more per terabyte… than disk drives…（**媒体转述**）

## 检索范围

- `archive/2026-09-15/redhat/`（Speculator）、`industry/`（Seagate、Gartner 再抓）；对照 2026-09-14 cost