{"id":10604,"date":"2026-08-10T07:29:15","date_gmt":"2026-08-10T14:29:15","guid":{"rendered":"https:\/\/www.phisonenterprise.com\/?page_id=10604"},"modified":"2026-08-13T15:25:05","modified_gmt":"2026-08-13T22:25:05","slug":"dynamic-moe","status":"publish","type":"page","link":"https:\/\/www.phisonenterprise.com\/zh\/dynamic-moe\/","title":{"rendered":"Dynamic\u00a0MoE"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"10604\" class=\"elementor elementor-10604\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17c7002 e-flex e-con-boxed e-con e-parent\" data-id=\"17c7002\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6fb8b3d e-con-full e-flex e-con e-child\" data-id=\"6fb8b3d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8131cc0 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"8131cc0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">aiDAPTIV <sup>TM<\/sup><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3499ef7 elementor-widget elementor-widget-heading\" data-id=\"3499ef7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u66f4\u5feb\u7684 AI \u63a8\u7406\u6027\u80fd\u4e0e\u66f4\u5927\u89c4\u6a21\u7684 LLM \u8bad\u7ec3\uff0c\u5168\u7a0b\u5728\u672c\u5730\u90e8\u7f72\uff08On-Prem\uff09\u79c1\u6709\u73af\u5883\u4e2d\u5b8c\u6210<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-971e26c e-con-full elementor-hidden-mobile e-flex e-con e-child\" data-id=\"971e26c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-abf6745 e-flex e-con-boxed e-con e-parent\" data-id=\"abf6745\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d8d02a elementor-widget elementor-widget-shortcode\" data-id=\"5d8d02a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"section\" data-elementor-id=\"11025\" class=\"elementor elementor-11025\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-9320bf1 e-flex e-con-boxed e-con e-parent\" data-id=\"9320bf1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6f10943 elementor-nav-menu--dropdown-none elementor-widget elementor-widget-nav-menu\" data-id=\"6f10943\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;submenu_icon&quot;:{&quot;value&quot;:&quot;&lt;svg aria-hidden=\\&quot;true\\&quot; class=\\&quot;fa-svg-chevron-down e-font-icon-svg e-fas-chevron-down\\&quot; viewBox=\\&quot;0 0 448 512\\&quot; xmlns=\\&quot;http:\\\/\\\/www.w3.org\\\/2000\\\/svg\\&quot;&gt;&lt;path d=\\&quot;M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\\&quot;&gt;&lt;\\\/path&gt;&lt;\\\/svg&gt;&quot;,&quot;library&quot;:&quot;fa-solid&quot;},&quot;layout&quot;:&quot;horizontal&quot;}\" data-widget_type=\"nav-menu.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<nav aria-label=\"Menu\" class=\"elementor-nav-menu--main elementor-nav-menu__container elementor-nav-menu--layout-horizontal e--pointer-underline e--animation-fade\">\n\t\t\t\t<ul id=\"menu-1-6f10943\" class=\"elementor-nav-menu\"><li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-11056\"><a href=\"\/zh\/pascari-aidaptiv\/\" class=\"elementor-item\">\u6982\u8ff0<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-11005\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/how-pascari-aidaptiv-works\/\" class=\"elementor-item\">How\u00a0Pascari\u00a0aiDAPTIV\u2122\u00a0works<span class=\"sub-arrow\"><svg aria-hidden=\"true\" class=\"fa-svg-chevron-down e-font-icon-svg e-fas-chevron-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\"><\/path><\/svg><\/span><\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11011\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/kv-cache-extension-reuse\/\" class=\"elementor-sub-item\">KV\u00a0Cache Extension &#038; Reuse<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11012\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/dynamic-moe\/\" class=\"elementor-sub-item\">Dynamic\u00a0MoE<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11010\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/elastic-fine-tuning\/\" class=\"elementor-sub-item\">Elastic\u00a0Fine-Tuning<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11003\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/aidaptiv-cache-memory\/\" class=\"elementor-item\">aiDAPTIV\u00a0cache\u00a0memory<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11004\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/technical-resources\/\" class=\"elementor-item\">Technical\u00a0resources<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11002\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/build-with-pascari-aidaptiv\/\" class=\"elementor-item\">Build with\u00a0Pascari\u00a0aiDAPTIV\u2122<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11001\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/evaluate-where-to-buy\/\" class=\"elementor-item\">Evaluate \/ Where to\u00a0buy\u00a0<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<nav class=\"elementor-nav-menu--dropdown elementor-nav-menu__container\" aria-hidden=\"true\">\n\t\t\t\t<ul id=\"menu-2-6f10943\" class=\"elementor-nav-menu\"><li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-11056\"><a href=\"\/zh\/pascari-aidaptiv\/\" class=\"elementor-item\" tabindex=\"-1\">\u6982\u8ff0<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-11005\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/how-pascari-aidaptiv-works\/\" class=\"elementor-item\" tabindex=\"-1\">How\u00a0Pascari\u00a0aiDAPTIV\u2122\u00a0works<span class=\"sub-arrow\"><svg aria-hidden=\"true\" class=\"fa-svg-chevron-down e-font-icon-svg e-fas-chevron-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\"><\/path><\/svg><\/span><\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11011\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/kv-cache-extension-reuse\/\" class=\"elementor-sub-item\" tabindex=\"-1\">KV\u00a0Cache Extension &#038; Reuse<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11012\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/dynamic-moe\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Dynamic\u00a0MoE<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11010\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/elastic-fine-tuning\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Elastic\u00a0Fine-Tuning<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11003\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/aidaptiv-cache-memory\/\" class=\"elementor-item\" tabindex=\"-1\">aiDAPTIV\u00a0cache\u00a0memory<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11004\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/technical-resources\/\" class=\"elementor-item\" tabindex=\"-1\">Technical\u00a0resources<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11002\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/build-with-pascari-aidaptiv\/\" class=\"elementor-item\" tabindex=\"-1\">Build with\u00a0Pascari\u00a0aiDAPTIV\u2122<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-11001\"><a href=\"https:\/\/www.phisonenterprise.com\/zh\/evaluate-where-to-buy\/\" class=\"elementor-item\" tabindex=\"-1\">Evaluate \/ Where to\u00a0buy\u00a0<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9adf934 e-flex e-con-boxed e-con e-parent\" data-id=\"9adf934\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9041432 elementor-widget elementor-widget-heading\" data-id=\"9041432\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Dynamic\u00a0MoE\u00a0<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7f0fe0c e-flex e-con-boxed e-con e-parent\" data-id=\"7f0fe0c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6bdefc8 e-con-full e-flex e-con e-child\" data-id=\"6bdefc8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59ce86c elementor-widget-tablet__width-inherit elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"59ce86c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Run a more capable\u2028model locally\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d5f860 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"2d5f860\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A larger\u00a0MoE\u00a0model may deliver better results on the target task without activating\u00a0all of\u00a0its parameters for every token.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1ca4640 e-con-full elementor-hidden-mobile e-flex e-con e-child\" data-id=\"1ca4640\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0129445 e-flex e-con-boxed e-con e-parent\" data-id=\"0129445\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-a260666 e-con-full e-flex e-con e-child\" data-id=\"a260666\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0237ba0 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"0237ba0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What MoE means <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-13c2607 elementor-widget-tablet__width-inherit elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"13c2607\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A Mixture of Experts, or MoE, model replaces some dense model layers with a bank of specialized expert networks. In a dense model, every parameter in a layer participates in every token&#8217;s computation. In an MoE model, a router evaluates the current token and selects only a small number of relevant experts, often called Top-K experts. Only those selected experts perform computation for that token. This lets an MoE model have far more total parameter capacity than it activates at any one moment. Depending on the model and workload, that may improve coding, reasoning, tool use, multilingual performance, or domain-specific results without requiring the active compute of an equivalently sized dense model.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-402e9eb elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"402e9eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Dynamic MoE reduces the memory footprint<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae02440 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"ae02440\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Keep the full model in aiDAPTIV Cache Memory and swap only the experts each token needs into unified memory,<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a3426df e-con-full e-flex e-con e-child\" data-id=\"a3426df\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t<div class=\"elementor-element elementor-element-a8c80f8 e-con-full e-flex e-con e-child\" data-id=\"a8c80f8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f034057 elementor-widget elementor-widget-heading\" data-id=\"f034057\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Traditional approach<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-36a0080 e-con-full e-flex e-con e-child\" data-id=\"36a0080\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-78984fe elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"78984fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"456\" height=\"290\" src=\"https:\/\/www.phisonenterprise.com\/wp-content\/uploads\/2026\/08\/Group-29.svg\" class=\"attachment-large size-large wp-image-10615\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a0f6b79 elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet elementor-widget elementor-widget-image\" data-id=\"a0f6b79\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"280\" height=\"462\" src=\"https:\/\/www.phisonenterprise.com\/wp-content\/uploads\/2026\/08\/Frame-29.svg\" class=\"attachment-large size-large wp-image-10681\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76c4df1 elementor-widget-tablet__width-initial elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"76c4df1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Without aiDAPTIV, the whole AI model must load<br \/>into unified memory.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1386aff e-con-full e-flex e-con e-child\" data-id=\"1386aff\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-87bf2dc elementor-widget elementor-widget-heading\" data-id=\"87bf2dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">aiDAPTIV approach<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b78e71f e-con-full e-flex e-con e-child\" data-id=\"b78e71f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-78afc61 elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"78afc61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"643\" height=\"345\" src=\"https:\/\/www.phisonenterprise.com\/wp-content\/uploads\/2026\/08\/Group-31.svg\" class=\"attachment-large size-large wp-image-10620\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2154a87 elementor-hidden-desktop elementor-hidden-laptop elementor-hidden-tablet elementor-widget elementor-widget-image\" data-id=\"2154a87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"281\" height=\"685\" src=\"https:\/\/www.phisonenterprise.com\/wp-content\/uploads\/2026\/08\/Frame-352.svg\" class=\"attachment-large size-large wp-image-10680\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7eaf3b elementor-widget-tablet__width-initial elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"d7eaf3b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>aiDAPTIV offloads the full MoE model to cache and swaps only the needed experts into memory.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1e98420 e-con-full e-flex e-con e-child\" data-id=\"1e98420\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-352fd83 elementor-widget-tablet__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"352fd83\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Run the same MoE model in roughly half the unified memory &#8211; larger models become practical on AI PCs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7253ee4 e-flex e-con-boxed e-con e-parent\" data-id=\"7253ee4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8a1093b e-con-full e-flex e-con e-child\" data-id=\"8a1093b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dca3be4 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"dca3be4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The catch?\u00a0Sparse compute does not mean small memory.\u00a0<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3575f7e elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3575f7e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Only a few experts may\u00a0compute for\u00a0a given token, but the full expert pool still needs to be available somewhere.\u00a0<br \/><br \/>A model with hundreds of billions of total parameters may activate only a small fraction per token.\u2028Its active\u00a0compute\u00a0requirement\u00a0can be manageable. Its full parameter footprint may still exceed available GPU or unified memory.\u00a0<br \/><br \/>That is the\u00a0MoE\u00a0memory problem.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9f7db9c e-flex e-con-boxed e-con e-parent\" data-id=\"9f7db9c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4575bd0 e-con-full e-flex e-con e-child\" data-id=\"4575bd0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-18da911 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"18da911\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Make larger MoE models practical on local systems<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5bad26e elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"5bad26e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In supported integrations,\u00a0Pascari\u00a0aiDAPTIV\u2122\u00a0keeps active experts near compute while extending the available expert pool across GPU memory, system memory, and\u00a0cache\u00a0memory.\u00a0<br \/><br \/>This can make a larger sparse model\u00a0viable\u00a0on a client system, workstation, edge deployment, or server that could not otherwise hold the full expert pool in GPU or unified memory.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-691d8e3 e-con-full e-flex e-con e-child\" data-id=\"691d8e3\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d1532a9 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"d1532a9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Locality decides much of the experience\u00a0<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cbdcb73 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"cbdcb73\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Some tasks repeatedly use a similar set of experts. When that happens, more of the required expert working\u00a0set\u00a0can remain close to\u00a0compute.\u00a0<br \/><br \/>Other tasks jump rapidly across domains, languages, coding styles, tools, or reasoning modes. That can require more different experts over a shorter period, which increases movement through the memory system.\u00a0<br \/><br \/>This is the central performance tradeoff.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-418500b e-flex e-con-boxed e-con e-parent\" data-id=\"418500b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-644d1b9 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"644d1b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Questions to ask before using\u00a0dynamic\u00a0MoE\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0d57623 e-flex e-con-boxed e-con e-child\" data-id=\"0d57623\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb2ba85 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"cb2ba85\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewbox=\"0 0 48 48\" fill=\"none\"><path d=\"M38 14C38 13.4696 37.7893 12.9609 37.4142 12.5858C37.0391 12.2107 36.5304 12 36 12H20V16H34V26H28L35.938 36L44 26H38V14ZM10 34C10 34.5304 10.2107 35.0391 10.5858 35.4142C10.9609 35.7893 11.4696 36 12 36H28V32H14V22H20L12 12L4 22H10V34Z\" fill=\"#132951\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDoes the task repeatedly use a similar expert working set?\u00a0\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18b32e4 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"18b32e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewbox=\"0 0 48 48\" fill=\"none\"><path d=\"M31.132 22.042C33.2215 20.8013 34.953 19.0393 36.1569 16.9284C37.3609 14.8175 37.9959 12.4301 38 10V8H40V4H8V8H10V10C10.0041 12.4301 10.6391 14.8175 11.8431 16.9284C13.047 19.0393 14.7785 20.8013 16.868 22.042C17.576 22.458 18 23.132 18 23.842V24.158C18 24.866 17.576 25.538 16.868 25.958C14.7785 27.1987 13.047 28.9607 11.8431 31.0716C10.6391 33.1825 10.0041 35.5699 10 38V40H8V44H40V40H38V38C37.9962 35.5704 37.3614 33.1834 36.1578 31.0728C34.9542 28.9622 33.2231 27.2004 31.134 25.96C30.424 25.54 30 24.866 30 24.158V23.842C30 23.132 30.424 22.458 31.132 22.042ZM29.102 29.404C30.5927 30.2902 31.8279 31.5482 32.6864 33.055C33.545 34.5618 33.9976 36.2658 34 38V40H14V38C14.0026 36.2653 14.4555 34.561 15.3145 33.0539C16.1734 31.5467 17.4089 30.2884 18.9 29.402C20.842 28.256 22 26.294 22 24.158V23.842C22 21.704 20.84 19.74 18.898 18.596C17.4073 17.7098 16.1721 16.4518 15.3136 14.945C14.455 13.4382 14.0024 11.7342 14 10V8H34V10C34 13.52 32.124 16.812 29.102 18.596C27.16 19.74 26 21.704 26 23.842V24.158C26 26.294 27.158 28.256 29.102 29.404Z\" fill=\"#132951\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tIs\u00a0larger model capability worth occasional expert-loading delays?\u00a0\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6e18a7 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"a6e18a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewbox=\"0 0 48 48\" fill=\"none\"><path d=\"M24 8C12.972 8 4.00001 16.972 4.00001 28C3.99741 31.0868 4.71728 34.1313 6.10201 36.89C6.44201 37.57 7.13401 38 7.89201 38H40.106C40.864 38 41.558 37.57 41.898 36.89C43.2827 34.1313 44.0026 31.0868 44 28C44 16.972 35.028 8 24 8ZM38.82 34H9.18001C8.39847 32.0963 7.99759 30.0579 8.00001 28C8.00001 19.178 15.178 12 24 12C32.822 12 40 19.178 40 28C40.0024 30.0579 39.6015 32.0963 38.82 34Z\" fill=\"#132951\"><\/path><path d=\"M21.878 25.8782C21.4526 26.1565 21.1031 26.5363 20.8613 26.9834C20.6194 27.4305 20.4928 27.9309 20.4928 28.4392C20.4928 28.9476 20.6194 29.4479 20.8613 29.895C21.1031 30.3422 21.4526 30.722 21.878 31.0002C22.2142 31.2214 22.5907 31.3741 22.986 31.4496C23.3812 31.5251 23.7875 31.5219 24.1816 31.4402C24.5756 31.3584 24.9496 31.1998 25.2823 30.9733C25.6149 30.7468 25.8996 30.4569 26.12 30.1202L34.044 18.0442C34.0504 18.0337 34.0537 18.0216 34.0537 18.0092C34.0537 17.9969 34.0504 17.9848 34.044 17.9742C34.0346 17.9598 34.0199 17.9496 34.0031 17.9459C33.9863 17.9422 33.9687 17.9452 33.954 17.9542L21.878 25.8782Z\" fill=\"#132951\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tHow consistent does token-to-token latency need to be?\u00a0\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de989e3 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"de989e3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"48\" height=\"48\" viewbox=\"0 0 48 48\" fill=\"none\"><path d=\"M40 26.02H26V20H28C30.206 20 32 18.206 32 16V8C32 5.794 30.206 4 28 4H20C17.794 4 16 5.794 16 8V16C16 18.206 17.794 20 20 20H22V26.02H8V36H6V44H14V36H12V30.02H22V36H20V44H28V36H26V30.02H36V36H34V44H42V36H40V26.02ZM20 16V8H28L28.004 16H20Z\" fill=\"#132951\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDoes the target runtime support the required expert-management behavior?\u00a0\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-448b1b4 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"448b1b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Interactive AI is not automatically excluded. Suitability depends on expert locality, platform configuration, and the\u00a0latency\u00a0consistency the experience requires.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f619e7 e-con-full e-flex e-con e-child\" data-id=\"6f619e7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f216d1 elementor-mobile-align-justify elementor-align-center elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"1f216d1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.phisonenterprise.com\/zh\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Discuss an\u00a0MoE\u00a0workload<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7be7e11 elementor-mobile-align-justify elementor-align-center elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"7be7e11\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.phisonenterprise.com\/zh\/technical-resources\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore\u00a0technical\u00a0resources<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6de8c5d e-flex e-con-boxed e-con e-parent\" data-id=\"6de8c5d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-d1f20f7 e-con-full e-flex e-con e-child\" data-id=\"d1f20f7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d4f0916 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"d4f0916\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Disclaimer: <\/strong>When the router selects an expert already resident near compute, the model can continue with minimal additional data movement. When it selects an expert that must be brought forward from system memory or cache memory, computation waits for that expert to arrive.\u00a0<\/p><p>The outcome depends on platform memory bandwidth, cache memory throughput, PCIe or interconnect bandwidth, model architecture, router behavior, expert locality, prompt diversity, and runtime implementation.\u00a0 A larger MoE is worth using only when its added capability matters to the task. aiDAPTIV expands model capacity; it does not guarantee the latency of a fully GPU-resident model.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>aiDAPTIV TM Faster Inference and Larger LLM Training, Done Privately On-Prem Dynamic\u00a0MoE\u00a0 Run a more capable\u2028model locally\u00a0 A larger\u00a0MoE\u00a0model may deliver better results on the target task without activating\u00a0all of\u00a0its parameters for every token.\u00a0 What MoE means A Mixture of Experts, or MoE, model replaces some dense model layers with a bank of specialized expert [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-10604","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/pages\/10604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/comments?post=10604"}],"version-history":[{"count":76,"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/pages\/10604\/revisions"}],"predecessor-version":[{"id":11338,"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/pages\/10604\/revisions\/11338"}],"wp:attachment":[{"href":"https:\/\/www.phisonenterprise.com\/zh\/wp-json\/wp\/v2\/media?parent=10604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}