--- title: AI in Multiple GPUs: How GPUs Communicate | daily.dev description: A deep dive into the hardware infrastructure enabling multi-GPU communication for AI training workloads. Covers PCIe (Gen4–Gen6 bandwidth specs), NVLink... canonical: https://daily.dev/posts/ai-in-multiple-gpus-how-gpus-communicate-kz6wkr6uj twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI in Multiple GPUs: How GPUs Communicate | daily.dev og:description: A deep dive into the hardware infrastructure enabling multi-GPU communication for AI training workloads. Covers PCIe (Gen4–Gen6 bandwidth specs), NVLink... og:url: https://daily.dev/posts/ai-in-multiple-gpus-how-gpus-communicate-kz6wkr6uj og:image: https://api.daily.dev/og/posts/KZ6Wkr6uj.png og:image:alt: AI in Multiple GPUs: How GPUs Communicate 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: How GPUs Communicate **[Towards Data Science](https://daily.dev/sources/tds)** · 5 min read · 0 upvotes · 0 comments ## Summary A deep dive into the hardware infrastructure enabling multi-GPU communication for AI training workloads. Covers PCIe (Gen4–Gen6 bandwidth specs), NVLink (intra-node GPU-to-GPU direct communication with up to 1.8 TB/s on Blackwell), NVSwitch (non-blocking all-to-all GPU communication scaling to 256 GPUs), and InfiniBand (inter-node communication via RDMA). Also explains key design principles: linear scaling goals, compute-communication overlap, and the significant performance cliff when crossing from intra-node to inter-node communication. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [NVIDIA NVLink: The Scale-Up Network for AI Factories](https://daily.dev/posts/nvidia-nvlink-the-scale-up-network-for-ai-factories-ebmkgal2a) · NVIDIA Developer · 0 upvotes · 0 comments - [Optimizing Data Transfer in Distributed AI/ML Training Workloads](https://daily.dev/posts/optimizing-data-transfer-in-distributed-ai-ml-training-workloads-c015cc2oy) · Towards Data Science · 0 upvotes · 0 comments --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#gpu](https://daily.dev/tags/gpu) [View this post on daily.dev](https://daily.dev/posts/ai-in-multiple-gpus-how-gpus-communicate-kz6wkr6uj) ```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: How GPUs Communicate","url":"https://daily.dev/posts/ai-in-multiple-gpus-how-gpus-communicate-kz6wkr6uj","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ai-in-multiple-gpus-how-gpus-communicate-kz6wkr6uj"},"datePublished":"2026-02-19T12:57:09.314Z","dateModified":"2026-02-19T12:57:29.772Z","description":"A deep dive into the hardware infrastructure enabling multi-GPU communication for AI training workloads. 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