AI Infrastructure Stack

Definition

The layered architecture of technologies that support the end-to-end AI lifecycle, from compute hardware to application deployment and governance. Industry consensus has converged on a six-layer model.

支持端到端人工智能全生命周期的技术分层架构,涵盖从计算硬件到应用部署与治理。行业共识已形成六层模型。

Details

Six-Layer Architecture (IBM)

LayerComponents
InfrastructureGPU/TPU/ASIC, storage, networking
DataIngestion, preprocessing, labeling, vector DBs
ModelFrameworks (PyTorch, TensorFlow), training, fine-tuning
DeploymentContainers, serving, APIs, inference optimization
ApplicationBusiness integration, agent frameworks, UIs
ObservabilityMonitoring, compliance, ethics, governance
| 层级 | 组件 | |-------|-----------| | **基础设施** | GPU/TPU/ASIC、存储、网络 | | **数据** | 采集、预处理、标注、向量数据库 | | **模型** | 框架 (PyTorch, TensorFlow)、训练、微调 | | **部署** | 容器、服务化、API、推理优化 | | **应用** | 业务集成、智能体框架、用户界面 | | **可观测性** | 监控、合规、伦理、治理 |

Market Scale

  • 309B+ (2031 projected)
  • Cloud AI spending: $723B+ in 2025
  • Top 4 companies combined: $250B+ in AI infra spending (2024-2025)
- 235亿美元(2021年)→ 3090亿美元以上(2031年预计) - 云AI支出:2025年达7230亿美元以上 - 前4大公司合计:2024-2025年AI基础设施支出超2500亿美元
  1. Agentic AI — 89% of enterprises plan to deploy agents within 12 months
  2. Inference economy — cost optimization for model serving is the new battleground
  3. Hybrid deployment — on-premise + cloud mix
  4. Governance-first — EU AI Act, ISO 42001 driving compliance requirements
  5. Open-source acceleration — DeepSeek-R1 catalyzing demand across the full stack
1. **代理型 AI** — 89% 的企业计划在 12 个月内部署智能体 2. **推理经济** — 模型服务的成本优化成为新的战场 3. **混合部署** — 本地与云端的结合 4. **治理优先** — 欧盟《人工智能法案》与 ISO 42001 推动合规要求 5. **开源加速** — DeepSeek-R1 激活全栈需求

Deployment Reality

Only 5-10% of enterprises have put generative AI into production (AI Infrastructure Alliance), despite massive investment.

尽管投入巨大,但仅有 **5-10%** 的企业将生成式 AI 投入了生产(AI 基础设施联盟)。

Connections

关联:[[ai-agent-architecture/concepts/harness|Harness]],[[ai-agent-architecture/concepts/sandbox-architectures|沙箱架构]] - 提及于:[[ai-agent-architecture/sources/ai-infrastructure-report|AI 基础设施报告]],[[ai-agent-architecture/sources/ai-infrastructure-research|AI 基础设施研究]]