{"id":100716,"date":"2026-07-09T19:17:10","date_gmt":"2026-07-09T19:17:10","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/100716\/"},"modified":"2026-07-09T19:17:10","modified_gmt":"2026-07-09T19:17:10","slug":"intel-superclaw-targets-agentic-dilemma-with-smooth-hybrid-local-and-cloud-ai-handoffs","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/100716\/","title":{"rendered":"Intel SuperClaw Targets Agentic Dilemma With Smooth Hybrid Local And Cloud AI Handoffs"},"content":{"rendered":"<p>        <a href=\"https:\/\/hothardware.com\/photo-gallery\/NewsItem\/71082?image=big_intel-superclaw-hybrid-ai.jpg&amp;tag=popup\" target=\"_blank\" rel=\"nofollow noopener\">&#13;<br \/>\n<img height=\"398px\" width=\"708px\" alt=\"intel superclaw hybrid ai\" 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\" style=\"background: url('https:\/\/images.hothardware.com\/contentimages\/newsitem\/71082\/content\/small_intel-superclaw-hybrid-ai.jpg') center no-repeat;background-size: contain; max-width: 100%; width: 100%;\" decoding=\"async\" class=\"dimension1\"\/>&#13;<br \/>\n<\/a><br \/>\nIntel has officially rolled out the first public beta of SuperClaw, an enterprise-focused hybrid AI platform designed to tackle what the chipmaker calls the &#8220;Agentic AI Trilemma.&#8221; By this, Intel is referring to the industry-wide friction between compute cost, scalability, and data privacy. Developed by the company&#8217;s &#8220;AI Super Builder&#8221; team and built on the open-source <a href=\"https:\/\/hothardware.com\/news\/nvidia-debuts-agent-toolkit-and-nemoclaw-at-gtc\" rel=\"nofollow noopener\" target=\"_blank\">OpenClaw framework<\/a>, the beta release represents a serious push to establish a dominant footprint in the autonomous corporate automation market.<\/p>\n<p>At the core of the newly released software is a split-labor architecture that dynamically divides processing between local silicon and the cloud. Intel claims this hybrid approach allows organizations to keep high-frequency tasks, like local file parsing, memory retrieval, and sensitive data masking, entirely on-premise. Only highly complex, multi-step reasoning or deep public web queries are selectively routed to <a href=\"https:\/\/hothardware.com\/news\/anthropics-claude-use-your-computer\" rel=\"nofollow noopener\" target=\"_blank\">cloud-based large language models<\/a>. According to the chipmaker, over 70% of tokens can be processed by the local model, saving users a lot of money on their Claude or ChatGPT bills.<\/p>\n<p><a href=\"https:\/\/hothardware.com\/photo-gallery\/NewsItem\/71082?image=big_hybrid-ai-diagram.jpg&amp;tag=popup\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" height=\"398px\" width=\"708px\" alt=\"hybrid ai diagram\" style=\"\" class=\"dimension1\" src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/07\/small_hybrid-ai-diagram.jpg\"\/><\/a><br \/>This local-first optimization is aimed squarely at the high (financial) cost of running persistent, always-on autonomous agents. Based on internal enterprise workload testing cited by Intel, SuperClaw&#8217;s hybrid routing can slash average cloud token consumption by over 70 percent. If accurate, this could alter the economic viability of company-wide AI deployments, a cost barrier many companies have cited as a primary reason for <a href=\"https:\/\/hothardware.com\/news\/gta-publisher-says-ai-cant-create-mega-hit-games-and-calls-the-idea-laughable\" rel=\"nofollow noopener\" target=\"_blank\">scaling back their AI initiatives<\/a>.<a href=\"https:\/\/hothardware.com\/photo-gallery\/NewsItem\/71082?image=big_22-percent-cloud-model-usage.jpg&amp;tag=popup\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" height=\"386px\" width=\"708px\" alt=\"22 percent cloud model usage\" style=\"\" class=\"dimension1\" src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/07\/small_22-percent-cloud-model-usage.jpg\"\/><\/a>In Intel&#8217;s example video, only 22% of requests went out to the cloud model. (click for big)<br \/>\n<br \/>\nOne of the most promising aspects of this localized filtering is its potential to break the adoption deadlock in highly regulated sectors like finance, legal, and healthcare. By ensuring sensitive data is scrubbed or processed locally before any cloud transmission occurs, the platform could satisfy <a href=\"https:\/\/hothardware.com\/news\/anthropic-project-glasswing-targets-safer-ai-agents\" rel=\"nofollow noopener\" target=\"_blank\">strict corporate compliance<\/a> officers without sacrificing the raw cognitive power of massive cloud models.<a href=\"https:\/\/hothardware.com\/photo-gallery\/NewsItem\/71082?image=big_executed-by-local-model.jpg&amp;tag=popup\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" height=\"383px\" width=\"708px\" alt=\"executed by local model\" style=\"\" class=\"dimension1\" src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/07\/small_executed-by-local-model.jpg\"\/><\/a>Examples of the kind of work that SuperClaw could do for users.<br \/>\n<br \/>\nThe platform is already seeing rapid infrastructure backing. When Intel first teased SuperClaw earlier this year, the chipmaker noted that major OEMs, including Dell, HP, Lenovo, ASUS, and Acer, had already begun integrating SuperClaw capabilities directly into their mid-2026 enterprise PC lineups. With the public beta now live, enthusiasts are free to start fooling with the system and see how well it actually works. However, the system requirements for the beta are pretty high; Intel says you need both a Panther Lake laptop with 16GB of RAM as well as a workstation system with four Arc Pro B70 GPUs. If you happen to have such a configuration, you can head to <a rel=\"noopener nofollow\" href=\"https:\/\/community.intel.com\/t5\/Blogs\/Tech-Innovation\/Client\/Introducing-the-First-Public-Beta-Release-for-Intel-SuperClaw\/post\/1753326\" target=\"_blank\">the company&#8217;s blog post<\/a> to grab the beta.<\/p>\n","protected":false},"excerpt":{"rendered":"&#13; &#13; Intel has officially rolled out the first public beta of SuperClaw, an enterprise-focused hybrid AI platform&hellip;\n","protected":false},"author":2,"featured_media":100717,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[52458,179,7493,24,657,576,52459],"class_list":["post-100716","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-nasdaqintc","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-ai","tag-intel","tag-openclaw","tag-superclaw"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/100716","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=100716"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/100716\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/100717"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=100716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=100716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=100716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}