{"id":103455,"date":"2026-02-11T06:47:45","date_gmt":"2026-02-11T06:47:45","guid":{"rendered":"https:\/\/cri-one.com\/store\/?p=11"},"modified":"2026-06-09T01:03:21","modified_gmt":"2026-06-09T01:03:21","slug":"tiers-and-the-arc-entry-to-volume","status":"publish","type":"post","link":"https:\/\/cri-one.com\/blog\/2026\/02\/11\/tiers-and-the-arc-entry-to-volume\/","title":{"rendered":"Tiers and the Arc: Entry to Volume"},"content":{"rendered":"<p>[lcus_masonry_article]<\/p>\n<p>The chip series describes an <strong>arc<\/strong>: low COGS rising to expensive, then returning. Entry = minimal, single die, control. Mid = small GPU; Pro = full GPU, optional DPU; Peak = max CPU+GPU+DPU, datacenter. Unified = all-in-one die; Volume = same at scale, COGS back down.<\/p>\n<p>AES = actual, tangible cost. Documented paths: $20K AES COGS at 1B volume, 3nm; $5K AES COGS at 10B volume, 1nm. The price to function is real and touchable.<\/p>\n<p><a href=\"https:\/\/cri-one.com\/store\/all-products.html#autophi-future\">View AutoPhi FUTURE and the full product portfolio at Cri-One.com<\/a><\/p>\n<p>[\/lcus_masonry_article]<\/p>\n<p><!-- crione-related-start --><\/p>\n<div class=\"crione-rel\">\n<style>.crione-rel{margin:2em 0;padding:1.25em 0;border-top:2px solid #ddd;border-bottom:2px solid #ddd;}.crione-rel-title{font-weight:600;font-size:1.05em;margin-bottom:.75em;}.crione-rel-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:1em;}.crione-rel-card{display:block;text-decoration:none;color:inherit;border:1px solid #e5e5e5;border-radius:6px;padding:.75em;transition:box-shadow .15s;}.crione-rel-card:hover{box-shadow:0 4px 12px rgba(0,0,0,.08);}.crione-rel-card img{display:none;}.crione-rel-name{font-weight:500;line-height:1.3;margin-bottom:.25em;}.crione-rel-price{font-weight:600;color:#0a7;}<\/style>\n<div class=\"crione-rel-title\">Related from cri-one.com\/store<\/div>\n<div class=\"crione-rel-grid\"><a class=\"crione-rel-card\" href=\"https:\/\/cri-one.com\/store\/apv18-vol-0831-3nm.html\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/cri-one.com\/store\/pub\/media\/catalog\/product\/a\/p\/apv18-vol-0831-3nm.png\" alt=\"AutoPhi V18-Achievement -- Volume Series #831\" loading=\"lazy\"><\/p>\n<div class=\"crione-rel-name\">AutoPhi V18-Achievement &#8212; Volume Series #831<\/div>\n<div class=\"crione-rel-price\">$422062014.60<\/div>\n<p><\/a><a class=\"crione-rel-card\" href=\"https:\/\/cri-one.com\/store\/apv18-vol-0832-3nm.html\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/cri-one.com\/store\/pub\/media\/catalog\/product\/a\/p\/apv18-vol-0832-3nm.png\" alt=\"AutoPhi V18-Achievement -- Volume Series #832\" loading=\"lazy\"><\/p>\n<div class=\"crione-rel-name\">AutoPhi V18-Achievement &#8212; Volume Series #832<\/div>\n<div class=\"crione-rel-price\">$422941461.40<\/div>\n<p><\/a><a class=\"crione-rel-card\" href=\"https:\/\/cri-one.com\/store\/apv18-vol-0833-3nm.html\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/cri-one.com\/store\/pub\/media\/catalog\/product\/a\/p\/apv18-vol-0833-3nm.png\" alt=\"AutoPhi V18-Achievement -- Volume Series #833\" loading=\"lazy\"><\/p>\n<div class=\"crione-rel-name\">AutoPhi V18-Achievement &#8212; Volume Series #833<\/div>\n<div class=\"crione-rel-price\">$423822740.69<\/div>\n<p><\/a><\/div>\n<\/div>\n<p><!-- crione-related-end --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[lcus_masonry_article] The chip series describes an arc: low COGS rising to expensive, then returning. Entry = minimal, single die, control. Mid = small GPU; Pro = full GPU, optional DPU; Peak = max CPU+GPU+DPU, datacenter. Unified = all-in-one die; Volume = same at scale, COGS back down. AES = actual, tangible cost. Documented paths: $20K [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[372,353,369,373,354],"tags":[],"class_list":["post-103455","post","type-post","status-publish","format-standard","hentry","category-autophi-future","category-computing","category-data-science","category-semiconductor","category-technology"],"_links":{"self":[{"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/posts\/103455","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/comments?post=103455"}],"version-history":[{"count":5,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/posts\/103455\/revisions"}],"predecessor-version":[{"id":903478,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/posts\/103455\/revisions\/903478"}],"wp:attachment":[{"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/media?parent=103455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/categories?post=103455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cri-one.com\/blog\/wp-json\/wp\/v2\/tags?post=103455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}