--- title: AI in Multiple GPUs: Gradient Accumulation & Data... description: Part 4 of a multi-GPU training series covering gradient accumulation (GA) and Distributed Data Parallelism (DDP) in PyTorch. Explains how GA splits large... canonical: https://daily.dev/posts/ai-in-multiple-gpus-gradient-accumulation-data-parallelism-c00oplnci twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI in Multiple GPUs: Gradient Accumulation & Data Parallelism | daily.dev og:description: Part 4 of a multi-GPU training series covering gradient accumulation (GA) and Distributed Data Parallelism (DDP) in PyTorch. Explains how GA splits large... og:url: https://daily.dev/posts/ai-in-multiple-gpus-gradient-accumulation-data-parallelism-c00oplnci og:image: https://api.daily.dev/og/posts/C00oPLNCI.png og:image:alt: AI in Multiple GPUs: Gradient Accumulation & Data Parallelism og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI in Multiple GPUs: Gradient Accumulation & Data Parallelism **[Towards Data Science](https://daily.dev/sources/tds)** · 10 min read · 0 upvotes · 0 comments ## Summary Part 4 of a multi-GPU training series covering gradient accumulation (GA) and Distributed Data Parallelism (DDP) in PyTorch. Explains how GA splits large mini-batches into micro-batches to work around GPU memory limits, and how DDP parallelizes this across multiple GPUs using All-Reduce operations. Includes from-scratch implementations of a DDPModelWrapper class, a full torchrun-compatible DDP training script, and a combined DDP+GA script using no_sync() to suppress unnecessary allreduce calls during accumulation steps. Also covers advanced tips like bucket_cap_mb tuning, gradient_as_bucket_view, data prefetching, and leaving GPU memory headroom. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Scaling Your AI Models with Micro-DDP](https://daily.dev/posts/scaling-your-ai-models-with-micro-ddp-zkhtv8o5q) · freeCodeCamp · 1 upvotes · 0 comments - [Training a Model on Multiple GPUs with Data Parallelism](https://daily.dev/posts/training-a-model-on-multiple-gpus-with-data-parallelism-9ram5ujce) · Machine Learning Mastery · 1 upvotes · 0 comments - [Building a Production-Grade Multi-Node Training Pipeline with PyTorch DDP](https://daily.dev/posts/building-a-production-grade-multi-node-training-pipeline-with-pytorch-ddp-6kemhukl8) · Towards Data Science · 1 upvotes · 0 comments - [MPI-powered gradient synchronization in PyTorch distributed training](https://daily.dev/posts/mpi-powered-gradient-synchronization-in-pytorch-distributed-training-rfcnxqiyn) · Red Hat Developer · 0 upvotes · 0 comments - [AI parallelism training strategies: Data, model, tensor and pipeline parallelism](https://daily.dev/posts/ai-parallelism-training-strategies-data-model-tensor-and-pipeline-parallelism-yeav4ssfg) · Data Science Central · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#gpu](https://daily.dev/tags/gpu), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/ai-in-multiple-gpus-gradient-accumulation-data-parallelism-c00oplnci) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"AI in Multiple GPUs: Gradient Accumulation & Data Parallelism","url":"https://daily.dev/posts/ai-in-multiple-gpus-gradient-accumulation-data-parallelism-c00oplnci","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ai-in-multiple-gpus-gradient-accumulation-data-parallelism-c00oplnci"},"datePublished":"2026-02-23T22:06:10.945Z","dateModified":"2026-02-23T22:06:32.604Z","description":"Part 4 of a multi-GPU training series covering gradient accumulation (GA) and Distributed Data Parallelism (DDP) in PyTorch. 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