https://x7peeps.com/tags/GPU/index.htmlHugozh-CNFri, 03 Jul 2026 07:21:56 +0000https://x7peeps.com/AI/06-AI%E5%B7%A5%E7%A8%8B%E5%8C%96/AI%E6%9C%8D%E5%8A%A1%E5%AE%B9%E5%99%A8%E5%8C%96%E4%B8%8E%E7%BC%96%E6%8E%92DockerK8sGPU%E8%B0%83%E5%BA%A6%E4%B8%8E%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/index.htmlFri, 03 Jul 2026 07:21:56 +0000https://x7peeps.com/AI/06-AI%E5%B7%A5%E7%A8%8B%E5%8C%96/AI%E6%9C%8D%E5%8A%A1%E5%AE%B9%E5%99%A8%E5%8C%96%E4%B8%8E%E7%BC%96%E6%8E%92DockerK8sGPU%E8%B0%83%E5%BA%A6%E4%B8%8E%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/index.htmlAI 服务的落地不只是模型推理本身——从 Docker 镜像构建到 Kubernetes 集群编排，从 GPU 资源调度到弹性伸缩策略，再到 CI/CD 流水线和模型服务化框架选型，每一个环节都直接决定了 AI 服务能否稳定、高效、低成本地运行在生产环境。