AI 智能体
gpu-docker
更新于 2026-10-23
GPU Containers 工程规则
GPU container rules: driver compatibility checks and bounded device requests
- 技术栈
- GPU Containers
- 主题
- 工程基线
- 条目
- 9 条
- 版本
- v0.2.0
✓ 应当这么做
- ✓ Use multi-stage builds and copy only runtime artifacts into the final image
- ✓ Run as a non-root user and pin base images by digest for reproducibility
- ✓ Mount secrets at runtime instead of baking them into layers
✕ 常见反模式
- ✕ `latest` tags in production deployments
- ✕ Build credentials present in intermediate layers
- ✕ Running the application as PID 1 without a signal-aware entrypoint
◎ 交付前验证
- ◎ Image scanned and no new critical CVEs introduced
- ◎ Container exits cleanly on SIGTERM within the grace period
- ◎ Final image size compared against the previous build
同分类条目
42 篇AI 智能体
Vector Search 工程规则
Vector search rules: chunking strategy, recall evaluation and index rebuild path
AI 智能体
Feature Store 工程规则
Feature store rules: point-in-time correctness and train/serve parity
AI 智能体
Agent Skill Design 工程规则
Skill design rules: narrow triggers, explicit boundaries and verifiable outputs
AI 智能体
Agent Tool Calls 工程规则
Tool-call rules: server-side authorisation and deny-by-default allow-lists
AI 智能体
Agent Memory 工程规则
Memory rules: scoped retrieval, expiry and user-visible deletion
AI 智能体
RAG Retrieval 工程规则
RAG rules: citation-grade retrieval and evaluated recall before shipping