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Huawei CloudMatrix384/Infer: pooled supernode resources and PDC serving

Co-designed a Unified-Bus supernode with independently scalable prefill, decode and caching pools, exploiting direct remote-memory access and expert-parallel serving for large MoE models.

What is recorded here?

Co-designed a Unified-Bus supernode with independently scalable prefill, decode and caching pools, exploiting direct remote-memory access and expert-parallel serving for large MoE models.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Prefill/decode separation, MoE and cache pooling have predecessors; contribution is the specified hardware/software integration. Network numbers can be per die rather than per dual-die NPU and unidirectional rather than bidirectional. Provider comparisons vary latency SLO, concurrency, precision, parallelism and hardware; no universal accuracy/throughput claim or independent replay. Original46-person Huawei/SiliconFlow affiliations are preserved.

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People and systems

Pengfei Zuo; Huimin Lin; Junbo Deng; Nan Zou; Xingkun Yang; Yingyu Diao; Weifeng Gao; Ke Xu; Zhangyu Chen; Shirui Lu; Zhao Qiu; Peiyang Li; Xianyu Chang; Zhengzhong Yu; Fangzheng Miao; Jia Zheng; Ying Li; Yuan Feng; Bei Wang; Zaijian Zong; Mosong Zhou; Wenli Zhou; Houjiang Chen; Xingyu Liao; Yipeng Li; Wenxiao Zhang; Ping Zhu; Yinggang Wang; Chuanjie Xiao; Depeng Liang; Dong Cao; Juncheng Liu; Yongqiang Yang; Xiaolong Bai; Yi Li; Huaguo Xie; Huatao Wu; Zhibin Yu; Lv Chen; Hu Liu; Yujun Ding; Haipei Zhu; Jing Xia; Yi Xiong; Zhou Yu; Heng Liao

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Huawei CloudMatrix384/Infer: pooled supernode resources and PDC serving

Co-designed a Unified-Bus supernode with independently scalable prefill, decode and caching pools, exploiting direct remote-memory access and expert-parallel serving for large MoE models.

Scientific scope

Prefill/decode separation, MoE and cache pooling have predecessors; contribution is the specified hardware/software integration. Network numbers can be per die rather than per dual-die NPU and unidirectional rather than bidirectional. Provider comparisons vary latency SLO, concurrency, precision, parallelism and hardware; no universal accuracy/throughput claim or independent replay. Original46-person Huawei/SiliconFlow affiliations are preserved.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Pengfei Zuo; Huimin Lin; Junbo Deng; Nan Zou; Xingkun Yang; Yingyu Diao; Weifeng Gao; Ke Xu; Zhangyu Chen; Shirui Lu; Zhao Qiu; Peiyang Li; Xianyu Chang; Zhengzhong Yu; Fangzheng Miao; Jia Zheng; Ying Li; Yuan Feng; Bei Wang; Zaijian Zong; Mosong Zhou; Wenli Zhou; Houjiang Chen; Xingyu Liao; Yipeng Li; Wenxiao Zhang; Ping Zhu; Yinggang Wang; Chuanjie Xiao; Depeng Liang; Dong Cao; Juncheng Liu; Yongqiang Yang; Xiaolong Bai; Yi Li; Huaguo Xie; Huatao Wu; Zhibin Yu; Lv Chen; Hu Liu; Yujun Ding; Haipei Zhu; Jing Xia; Yi Xiong; Zhou Yu; Heng Liao

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources