# AI芯片架构全景：RSI或重塑算力格局

- 来源：elvis (@omarsar0)
- 发布时间：2026-08-24 00:08
- AIHOT 分数：34
- AIHOT 链接：https://aihot.virxact.com/items/cmt60haly0vo1ro73p00bk9fk
- 原文链接：https://x.com/omarsar0/status/2091558158439182738

## AI 摘要

博主Elvis Saravia推荐一篇关于AI芯片架构的长文，该文覆盖NVIDIA、AMD、TPU、Trainium、Cerebras、Groq等主流芯片的架构、扩展（scale-up与scale-out）及软件栈。Saravia认为，一旦RSI（递归自我改进）出现，模型架构可能快速演变，与今天截然不同，从而带来全新的算力需求。

## 正文

This is gold! Recommend reading if you want to understand the landscape of AI chip architectures. IMO, a lot can change once RSI comes around, as model architectures could evolve rapidly, looking completely different from today, hence requiring different compute needs.

### 引用推文

> Jacob：sharing a new long-form blog post: ai chip architectures it covers the leading chip architectures (nvidia, amd, tpus, trainium, cerebras, groq) across architect...