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DP, DPA and SGLang DP Router — SGLang

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This guide explains the difference between Data Parallelism (DP) and Data Parallelism Attention (DPA), how to enable each mode correctly, and how to use the SGLang Model Gateway (SMG) for production-grade DP deployments. Data Parallelism (DP) is the most common parallelism strategy that replicates the entire model across multiple GPU sets and processes different batches of requests in parallel. Each GPU set handles independent requests. With dedicated routing strategies, as we will introduce later, with those proper routing algorithms in SGLang Model Gateway, the throughput of your serving system could be multiplied nearly linearly. Each replica has a full copy of the model Requests are distributed/scattered across replicas No inter-replica communication during one request’s inference (for simple DP) Data Parallelism Attention (DPA), also known as DP Attention, is an advanced parallelism strategy. While DPA provides the most significant benefits for Multi-Head Latent Attention (MLA) mo

DP, DPA and SGLang DP Router - SGLang Documentation Documentation Index Fetch the complete documentation index at: /llms.txt Use this file to discover all available pages before exploring further. Skip to main content This guide explains the difference between Data Parallelism (DP) and Data Parallelism Attention (DPA), how to enable each mode correctly, and how to use the SGLang Model Gateway (SMG) for production-grade DP deployments. ​ Data Parallelism (DP) Data Parallelism (DP) is the most common parallelism strategy that replicates the entire model across multiple GPU sets and processes dif

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