{"id":556654,"date":"2026-04-29T09:26:14","date_gmt":"2026-04-29T09:26:14","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/556654\/"},"modified":"2026-04-29T09:26:14","modified_gmt":"2026-04-29T09:26:14","slug":"announcing-arm-performix-empowering-developers-with-scalable-performance-for-the-age-of-ai-agents","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/556654\/","title":{"rendered":"Announcing Arm Performix: Empowering developers with scalable performance for the age of AI agents"},"content":{"rendered":"<p>News highlights:\u00a0<\/p>\n<p>Arm\u00a0Performix\u00a0is\u00a0a\u00a0free\u00a0performance analysis toolkit\u00a0for\u00a0modern agentic development workflows \u2014 the\u00a0first\u00a0of its kind,\u00a0defining\u00a0a new class of\u00a0performance\u00a0tooling\u00a0for\u00a0developers\u00a0and\u00a0AI agents.\u00a0<\/p>\n<p>Through clear, deep\u00a0performance\u00a0insights, any developer\u00a0or AI agent\u00a0can use\u00a0Arm\u00a0Performix\u00a0to understand, analyze and\u00a0optimize\u00a0applications running\u00a0on Arm-based\u00a0cloud\u00a0platforms.\u00a0<\/p>\n<p>Microsoft,\u00a0MongoDB,\u00a0Redis\u00a0and\u00a0SAP\u00a0have shared their support for\u00a0Arm\u00a0Performix.\u00a0<\/p>\n<p>Arm is delivering a new class of\u00a0compute\u00a0designed for the scale,\u00a0efficiency\u00a0and intensity of AI workloads. The historic\u00a0launch of the\u00a0<a href=\"https:\/\/newsroom.arm.com\/blog\/introducing-arm-agi-cpu\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Arm AGI CPU<\/a>\u00a0marked an inflection point,\u00a0not\u00a0only\u00a0in silicon, but in how software is built, deployed\u00a0and\u00a0optimized\u00a0for\u00a0AI.\u00a0With 1.25+ billion Arm Neoverse cores shipped, Arm-based\u00a0compute\u00a0has\u00a0already reached\u00a0significant\u00a0scale. This\u00a0growth\u00a0spans\u00a0from\u00a0hyperscaler-designed silicon based on Arm Neoverse to next-generation platforms like Arm AGI CPU.\u00a0<\/p>\n<p>Built\u00a0on this foundation\u00a0and further accelerating momentum on\u00a0Arm-based platforms,\u00a0Arm\u00a0is introducing Performix,\u00a0a performance analysis toolkit to help developers\u00a0optimize\u00a0AI systems end to end. Integrated in modern workflows, it\u00a0delivers\u00a0continuous, expert\u00a0performance\u00a0analysis\u00a0and\u00a0insights\u00a0so developers can\u00a0act faster.\u00a0<a href=\"https:\/\/developer.arm.com\/servers-and-cloud-computing\/arm-performix\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Arm Performix<\/a>\u00a0expands Arm\u2019s\u00a0history of\u00a0strong\u00a0performance\u00a0beyond silicon and into the full software stack.\u00a0<\/p>\n<p>The shift to agentic AI is introducing new performance challenges. Workloads are becoming more complex, spanning multiple components and layers, while traditional tooling\u00a0remains\u00a0designed for monolithic, manually analyzed\u00a0applications. At the same time, performance tools must\u00a0integrate\u00a0into automated workflows and be usable directly by AI agents, with outputs that are structured, repeatable\u00a0and actionable.<\/p>\n<\/p>\n<p>Built for modern agentic AI development<\/p>\n<p>Arm\u00a0Performix\u00a0defines\u00a0a\u00a0new class of performance tooling\u00a0that is a step-change from manual, fragmented traditional offerings.\u00a0It is\u00a0a\u00a0free\u00a0performance analysis toolkit for\u00a0software and\u00a0modern AI development.\u00a0Performix\u00a0gives developers and AI agents system-wide visibility to\u00a0identify\u00a0inefficiencies and\u00a0optimize\u00a0workloads running on Arm-based infrastructure, while fitting directly into automated, agent-driven workflows.\u00a0<\/p>\n<p>By collecting\u00a0performance\u00a0data directly from Arm-based silicon at runtime,\u00a0Performix\u00a0turns low-level hardware behavior into guided, actionable insights\u00a0in real-world environments.\u00a0This enables developers to move beyond\u00a0manual analysis, allowing them to\u00a0confidently\u00a0validate, tune and scale workloads on Arm-based infrastructure \u2014 from cloud deployments to next-generation silicon platforms like Arm AGI CPU.<\/p>\n<p>Turning hardware data into actionable, accelerated insights\u00a0<\/p>\n<p>Performix\u00a0is an extensible platform that provides system-wide analysis across key metrics such as memory bandwidth, latency, cache\u00a0efficiency\u00a0and CPU\u00a0utilization. What once\u00a0required\u00a0deep architectural knowledge is now a clear, accessible process for developers and AI agents\u00a0alike.\u00a0The guided, recipe-based approach helps developers shift from reactive tuning to focus on the areas that matter most, turning low-level hardware signals into clear optimization paths.\u00a0<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" width=\"1200\" height=\"675\" src=\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2026\/04\/Arm-Performix-SupportingImagery-code_hot_vis_2560x1440-1200x675.png\" alt=\"\" class=\"wp-image-20414\"  \/><\/p>\n<p>Central to this is the\u00a0<a href=\"https:\/\/developer.arm.com\/servers-and-cloud-computing\/arm-mcp-server\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Arm MCP Server<\/a>, which allows developers and AI assistants to run\u00a0Performix\u00a0directly from tools such as GitHub Copilot, Kiro, Gemini and Codex. Analysis can be triggered from within the development environment, with results surfaced alongside the code. The Arm MCP Server contains expert knowledge and tools to enhance agentic development workflows targeting Arm-based systems, from migration to optimization.\u00a0This creates a tight feedback loop where performance evaluation becomes a continuous, automated part of development.\u00a0<\/p>\n<p>In 2025,\u00a050%\u00a0of the\u00a0CPU\u00a0compute\u00a0shipped to top\u00a0hyperscalers\u00a0was Arm-based.1\u00a0Arm and\u00a0cloud partners have used these capabilities to\u00a0identify\u00a0performance bottlenecks and unlock peak performance in real workloads.\u00a0This builds on Arm\u2019s broader ecosystem momentum, where\u00a0optimizing for\u00a0Arm is increasingly a competitive advantage.\u00a0<\/p>\n<p>Performix\u00a0has been developed with\u00a0feedback\u00a0from partners and clients like Microsoft, MongoDB, Redis and SAP. <\/p>\n<p>Continuous\u00a0performance\u00a0insight\u00a0for AI agents<\/p>\n<p>Performance\u00a0depends not only\u00a0on hardware; it\u00a0depends on\u00a0how effectively developers can\u00a0optimize\u00a0and scale software across complex systems.\u00a0Performix\u00a0unlocks the full potential of the Arm platform through highly\u00a0accessible, deep\u00a0performance\u00a0insights,\u00a0so\u00a0developers spend less time interpreting data and more time\u00a0optimizing\u00a0where it\u00a0matters.\u00a0Together,\u00a0Arm-based platforms\u2014from\u00a0hyperscaler\u00a0deployments to\u00a0Arm AGI CPU\u2014and Performix strengthen Arm\u2019s\u00a0foundation\u00a0for efficient, high-performance\u00a0AI systems. This marks yet\u00a0another\u00a0significant step in Arm\u2019s long-standing commitment to\u00a0our ecosystem, with Performix empowering\u00a0developers\u00a0to\u00a0build,\u00a0optimize\u00a0and scale the next generation of cloud and AI infrastructure on Arm.\u00a0<\/p>\n<p><a href=\"https:\/\/developer.arm.com\/community\/arm-community-blogs\/b\/servers-and-cloud-computing-blog\/posts\/arm-performix-practical-performance-analysis-for-arm-based-servers\" rel=\"nofollow noopener\" target=\"_blank\">Learn how to use\u00a0Performix\u00a0in this\u00a0Arm Community blog.<\/a>\u00a0<\/p>\n<p><a href=\"https:\/\/developer.arm.com\/servers-and-cloud-computing\/arm-performix\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Learn more and get started with Arm\u00a0Performix\u00a0today.<\/a>\u00a0<\/p>\n<p class=\"has-small-font-size\">1\u00a0Based on internal Arm estimates.<\/p>\n<p>Partner quotes:<\/p>\n<p>\u201cAs developers and cloud architects increasingly\u00a0seek\u00a0to move existing x86 cloud workloads onto Arm, they need clear metrics and insights to help them\u00a0identify\u00a0performance bottlenecks efficiently. Arm Performix\u00a0was developed with extensive feedback from our team to help simplify this migration,\u201d said Pat Stemen, Vice President, Azure Hardware Systems and Infrastructure, Microsoft. \u201cWe look forward to seeing customers utilize Arm\u00a0Performix\u00a0to optimize their applications for Cobalt 200 virtual machines.\u201d\u00a0<\/p>\n<p>\u201cAs a senior member of the performance engineering team at MongoDB, I was extremely impressed with the depth of analysis Arm\u00a0Performix\u00a0provides. The tool is approachable, and quick to set up and run,\u201d said Jawwad Asghar, Senior Software Engineer at MongoDB. \u201cI was able to generate a wealth of data about where to target optimization efforts across our code base. The\u00a0CPU Microarchitecture\u00a0analysis showed a clear front-end bottleneck and which functions were the most inefficient at different cache levels. Using the actionable insights\u00a0Performix\u00a0generated, we found a clear path to achieving a 10% performance boost on one of our key workloads in just a few days. The tool has been a big win for developer velocity in our performance tuning process.\u201d\u00a0<\/p>\n<p>\u201cAgentic AI workloads are driving unprecedented scale and complexity, making it critical to understand performance across the full stack,\u201d said Filipe Oliveira, Performance Analysis and Optimization Lead, Redis. \u201cWe\u2019re\u00a0working with Arm to\u00a0optimize\u00a0Redis on Arm-based cloud infrastructure. Arm Performix brings system-wide visibility and actionable insights we need to\u00a0identify\u00a0inefficiencies quickly. Performix is an enabler to streamline and continuously\u00a0optimize\u00a0performance as we scale AI and data-intensive workloads.\u201d\u00a0<\/p>\n<p>\u201cArm\u00a0Performix\u00a0streamlines performance analysis using intuitive visualizations and pre-configured recipes,\u201d said\u00a0Lars Hoemke,\u00a0Head\u00a0of\u00a0HANA Core Performance,\u00a0SAP. \u201cWith SAP HANA, Arm Performix allows us to identify\u00a0code\u00a0hotspots, drill down into issues, compare systems quickly and gain clear performance insights that save time.\u201d\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"News highlights:\u00a0 Arm\u00a0Performix\u00a0is\u00a0a\u00a0free\u00a0performance analysis toolkit\u00a0for\u00a0modern agentic development workflows \u2014 the\u00a0first\u00a0of its kind,\u00a0defining\u00a0a new class of\u00a0performance\u00a0tooling\u00a0for\u00a0developers\u00a0and\u00a0AI agents.\u00a0 Through clear,&hellip;\n","protected":false},"author":2,"featured_media":556655,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-556654","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/556654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=556654"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/556654\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/556655"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=556654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=556654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=556654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}