{"version":"1.0","provider_name":"ITuziast","provider_url":"https:\/\/www.ituziast.com","title":"Architect AI Workloads in Azure (Part 1) - ITuziast","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"OtQFXRHfTM\"><a href=\"https:\/\/www.ituziast.com\/index.php\/2026\/01\/19\/architect-ai-workloads-in-azure-part-1\/\">Architect AI Workloads in Azure (Part 1)<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.ituziast.com\/index.php\/2026\/01\/19\/architect-ai-workloads-in-azure-part-1\/embed\/#?secret=OtQFXRHfTM\" width=\"600\" height=\"338\" title=\"&#8220;Architect AI Workloads in Azure (Part 1)&#8221; &#8212; ITuziast\" data-secret=\"OtQFXRHfTM\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.ituziast.com\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.ituziast.com\/wp-content\/uploads\/2026\/01\/AzureAIWorkload-illustration.png","thumbnail_width":1152,"thumbnail_height":768,"description":"AI workloads in Azure combine generative and discriminative models to drive innovation, but success depends on balancing cost, reliability, and responsible AI. Guided by the Well\u2011Architected Framework, organizations can design scalable, secure solutions while avoiding inefficiencies and ethical risks. Learn how to design secure, cost-efficient, and responsible AI workloads using the Azure Well-Architected Framework. Explore six pillars tailored for AI success."}