--- title: Cloudflare Builds High-Performance Infrastructure for... description: Cloudflare has announced new infrastructure optimizations for running large language models at scale across its global network. Key improvements include... canonical: https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Cloudflare Builds High-Performance Infrastructure for Running LLMs | daily.dev og:description: Cloudflare has announced new infrastructure optimizations for running large language models at scale across its global network. Key improvements include... og:url: https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb og:image: https://api.daily.dev/og/posts/gIg99bgnB.png og:image:alt: Cloudflare Builds High-Performance Infrastructure for Running LLMs 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. # Cloudflare Builds High-Performance Infrastructure for Running LLMs **[InfoQ](https://daily.dev/sources/infoq)** · 4 min read · 1 upvotes · 0 comments ## Summary Cloudflare has announced new infrastructure optimizations for running large language models at scale across its global network. Key improvements include disaggregated prefill, which splits LLM request processing into compute-bound prefill and memory-bound decode stages handled by separate machines. Cloudflare also built a custom inference engine called Infire that supports pipeline and tensor parallelism to efficiently distribute models across multiple GPUs, reducing memory usage and improving throughput. Additionally, the company introduced Unweight, a compression system that reduces LLM weight sizes by 15–22% without accuracy loss. These optimizations enable running models like Llama 4 Scout on two H200 GPUs and Kimi K2.5 on eight H100 GPUs with KV-cache headroom — configurations that would struggle with standard inference engines like vLLM. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Building the foundation for running extra-large language models](https://daily.dev/posts/building-the-foundation-for-running-extra-large-language-models-h2xp2rdat) · Cloudflare · 0 upvotes · 0 comments - [How I doubled my GPU efficiency without buying a single new card](https://daily.dev/posts/how-i-doubled-my-gpu-efficiency-without-buying-a-single-new-card-e57gspube) · InfoWorld · 0 upvotes · 0 comments - [llm-d 1.0, an open source stack for distributed inference](https://daily.dev/posts/llm-d-1-0-an-open-source-stack-for-distributed-inference-5yvf9dd61) · Google Cloud · 3 upvotes · 1 comments --- Tags: [#ai-inference](https://daily.dev/tags/ai-inference), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#cloudflare](https://daily.dev/tags/cloudflare), [#gpu](https://daily.dev/tags/gpu), [#llm](https://daily.dev/tags/llm) [View this post on daily.dev](https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb) ```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":"Cloudflare Builds High-Performance Infrastructure for Running LLMs","url":"https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb"},"datePublished":"2026-05-03T11:02:58.305Z","dateModified":"2026-10-15T02:20:49.246Z","description":"Cloudflare has announced new infrastructure optimizations for running large language models at scale across its global network. Key improvements include...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a85d50322d0804f84856aebc457ad6c2?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a85d50322d0804f84856aebc457ad6c2?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"InfoQ","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"InfoQ","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/afc3bced3e1e4b188dd9127017a60e0c","url":"https://daily.dev/sources/infoq"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/cloudflare-builds-high-performance-infrastructure-for-running-llms-gig99bgnb","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-inference,ai-infrastructure,cloudflare,gpu,llm","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"InfoQ","item":"https://daily.dev/sources/infoq"},{"@type":"ListItem","position":3,"name":"Cloudflare Builds High-Performance Infrastructure for Running LLMs"}]} ```