企业 AI 数据准备的本地运行时架构
本地运行 AI 数据准备的架构指南——部署模型、计算层级、本地 LLM 推理和企业数据集的存储策略。
本架构指南详细介绍了本地运行 AI 数据准备的各个方面——包括部署模型选择、计算层级设计、本地 LLM 推理配置和企业数据集的存储策略。
对于需要在本地处理大量企业数据的 团队，理解运行时架构的各个组件如何协同工作至关重要。本指南涵盖了从单机部署到多节点集群的各种规模，以及每种配置的性能特征和成本考虑。
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