从电力到智能
七个层次，每层依赖其下层。每个层次对应数据库的一个板块；每个示例均为可打开的记录。
Electricity is the first input of AI. Gigawatt-scale campuses are signing nuclear offtakes, building gas turbines behind the meter, and waiting years in interconnection queues.
The buildings: shells, substations, chillers and halls engineered around rack densities that have jumped from ~10 kW to 120+ kW per rack.
Accelerators ship inside engineered systems — 8-GPU baseboards, rack-scale NVLink domains, InfiniBand and Ethernet fabrics, direct-to-chip liquid loops.
The chips themselves: leading-edge logic from a handful of foundries, stacked HBM memory, and advanced packaging that has become its own bottleneck.
The layer that turns racks into computers: kernels, compilers, frameworks, schedulers and serving engines — and the moats they create.
What the machines are for: frontier and open-weights models, from GPT and Claude and Gemini to DeepSeek, Llama and Qwen.
Where AI meets users: chat assistants, coding agents, creative tools, scientific systems and robots.
一颗芯片，全栈解析：B200 实例详解
关系引擎实际运作：一条记录的全部关联，两端均可点击跳转。每个记录页面均以此方式呈现。
关系是双向的：一条记录中标注为"由……制造"的，在另一条记录中则标注为"制造"。