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GShard: compiler-driven sharding for sparse-expert models

Combined lightweight sharding annotations with XLA compiler support to express distributed computation, scaling multilingual sparse-expert Transformer training with automated partitioning.

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Combined lightweight sharding annotations with XLA compiler support to express distributed computation, scaling multilingual sparse-expert Transformer training with automated partitioning.

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

Scientific scope

Inherits XLA, SPMD and sparsely gated MoE; not invention of mixture-of-experts or later GSPMD's full design.600Bparameters and2048TPUv3/4day figures are a specific multilingual-translation experiment, not dense-model-equivalent per-token compute, universal translation quality or general automatic partition optimality.

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People and systems

Dmitry Lepikhin; HyoukJoong Lee; Yuanzhong Xu; Dehao Chen; Orhan Firat; Yanping Huang; Maxim Krikun; Noam Shazeer; Zhifeng Chen

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

GShard: compiler-driven sharding for sparse-expert models

Combined lightweight sharding annotations with XLA compiler support to express distributed computation, scaling multilingual sparse-expert Transformer training with automated partitioning.

Scientific scope

Inherits XLA, SPMD and sparsely gated MoE; not invention of mixture-of-experts or later GSPMD's full design.600Bparameters and2048TPUv3/4day figures are a specific multilingual-translation experiment, not dense-model-equivalent per-token compute, universal translation quality or general automatic partition optimality.

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

Dmitry Lepikhin; HyoukJoong Lee; Yuanzhong Xu; Dehao Chen; Orhan Firat; Yanping Huang; Maxim Krikun; Noam Shazeer; Zhifeng Chen

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