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训练算力Compute

Compute

  • 硬件与部署Hardware & deployment
  • 第四站 · 看懂Station 4 · Under the Hood
解决什么问题What problem it solves

训练和推理都要烧算力,这是 AI 最硬的资源门槛。Both training and inference burn compute. This is AI's hardest resource threshold.

这是什么What it is

训练需要大量 GPU 和时间;推理便宜得多但持续消耗。

Training needs many GPUs and a lot of time; inference is far cheaper but costs continuously.

为什么需要知道Why it matters

它解释了为什么大模型公司烧钱、为什么本地跑大模型要先算显存账。It explains why large-model companies burn money, and why running one locally means doing the VRAM arithmetic first.

出处Sources
  • 算力与芯片相关站点Nav: compute & chips sites ↗
  • 从业者深版:数据与算力专题(AI 模型站)Practitioner deep-dive: data & compute guide (AI Models site) ↗