Share more about the file system design tailored to the characteristics of LLM tasks

Dear community,

Firstly thanks for your contribution to the open source.

> The Fire-Flyer File System (3FS) is a high-performance distributed file system designed to address the challenges of AI training and inference workloads.

I understand 3FS is mainly designed for AI or LLM workloads and it has high performance by leveraging modern SSDs and RDMA networks. However, from the README and [design notes](https://github.com/deepseek-ai/3FS/blob/main/docs/design_notes.md), I can't see the design dedicated to AI workloads clearly.

I can see some parts as following:



Could you share more about the difference between your file system design compared with a general distributed file system?