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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, 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?
The text was updated successfully, but these errors were encountered:
Dear community,
Firstly thanks for your contribution to the open source.
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, 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?
The text was updated successfully, but these errors were encountered: