--- title: AI Model Co-Design: Hardware-Friendly LLM Design | daily.dev description: A technical guide for LLM model designers on how to make models run efficiently on modern GPU hardware. Covers seven actionable guidelines: keeping weight... canonical: https://daily.dev/posts/ai-model-co-design-hardware-friendly-llm-design-8rbz8uqxh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI Model Co-Design: Hardware-Friendly LLM Design | daily.dev og:description: A technical guide for LLM model designers on how to make models run efficiently on modern GPU hardware. Covers seven actionable guidelines: keeping weight... og:url: https://daily.dev/posts/ai-model-co-design-hardware-friendly-llm-design-8rbz8uqxh og:image: https://api.daily.dev/og/posts/8rbz8UqXh.png og:image:alt: AI Model Co-Design: Hardware-Friendly LLM Design 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 Model Co-Design: Hardware-Friendly LLM Design **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 13 min read · 0 upvotes · 0 comments ## Summary A technical guide for LLM model designers on how to make models run efficiently on modern GPU hardware. Covers seven actionable guidelines: keeping weight matrix dimensions near-square and aligned to multiples of 128/256/512 for GPU tile alignment, favoring wider models over deeper ones for higher arithmetic intensity, using NVFP4 quantization to boost throughput, leveraging expert parallelism for MoE models, designing regular layer patterns for pipeline parallelism, and decoupling attention/FFN parallelization for latency-sensitive deployments. Includes concrete GEMM dimension analysis, roofline model reasoning, and references to NVIDIA tools like TensorRT-LLM and TensorRT Model Optimizer. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The LLM Inference Trilemma: Throughput, Latency, Cost](https://daily.dev/posts/the-llm-inference-trilemma-throughput-latency-cost-ws3duzsii) · DigitalOcean · 0 upvotes · 0 comments - [Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference](https://daily.dev/posts/co-designing-ai-model-attention-for-fast-interactive-long-context-inference-p6m1la5mw) · NVIDIA Developer · 0 upvotes · 0 comments - [Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference](https://daily.dev/posts/co-designing-ai-models-using-speculative-decoding-for-faster-llm-inference-0zr9mkfau) · NVIDIA Developer · 0 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#ai-inference](https://daily.dev/tags/ai-inference), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts) [View this post on daily.dev](https://daily.dev/posts/ai-model-co-design-hardware-friendly-llm-design-8rbz8uqxh) ```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 Model Co-Design: Hardware-Friendly LLM Design","url":"https://daily.dev/posts/ai-model-co-design-hardware-friendly-llm-design-8rbz8uqxh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ai-model-co-design-hardware-friendly-llm-design-8rbz8uqxh"},"datePublished":"2026-07-10T16:37:04.596Z","dateModified":"2026-07-10T16:37:26.955Z","description":"A technical guide for LLM model designers on how to make models run efficiently on modern GPU hardware. 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