deepseek-ai / deepseek-ai/profile-data

Inquiry About RDMA Utilization for EP128 in Lower-End GPU Clusters

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Description

Hi DeepSeek Team,

I came across your strategy of using RDMA to facilitate EP128 in large-scale GPU clusters, and I found it both impressive and thought-provoking. The approach of leveraging RDMA for overlapping computation and communication during decoding, while freeing up GPU SMs, is a brilliant optimization.

However, I was wondering whether this strategy could be applicable or scalable to lower-end GPU clusters. Given the significant costs associated with RDMA-capable networking hardware and infrastructure, **I am curious whether you have explored or considered similar optimization techniques on clusters with more modest hardware configurations.**

**Would it be possible to implement comparable overlapping strategies without RDMA**, perhaps using traditional high-speed Ethernet or software-based communication methods? Or do you see RDMA as a fundamental requirement to achieve the performance gains observed in EP128?

Any insights into the feasibility of adapting this method to less expensive setups would be greatly appreciated.

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No contributing guide indexed for this repository

Research direction

No file, test, or entry point is identified. Begin by checking whether this repository contains RDMA or EP128 implementation or documentation; the issue is done only when the feasibility question receives a maintainer-backed answer.

Written by the indexing model from the issue text.

Assessment

Domain
networking
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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