{"id":40803,"date":"2026-06-18T05:21:33","date_gmt":"2026-06-18T05:21:33","guid":{"rendered":"https:\/\/techgolly.com\/?p=40803"},"modified":"2026-06-18T05:21:33","modified_gmt":"2026-06-18T05:21:33","slug":"sk-hynix-shares-hit-record-high-after-shipping-advanced-12-layer-hbm4e-samples","status":"publish","type":"post","link":"https:\/\/techgolly.com\/news\/sk-hynix-shares-hit-record-high-after-shipping-advanced-12-layer-hbm4e-samples","title":{"rendered":"SK Hynix Shares Hit Record High After Shipping Advanced 12-Layer HBM4E Samples"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Key Points:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>SK Hynix began shipping evaluation samples of its next-generation 12-layer HBM4E memory chips to major global AI chipmakers.<\/li>\n\n\n\n<li>The announcement propelled the chipmaker\u2019s stock to an all-time high of 2,677,000 KRW on the Korea Exchange, a 6.19% surge.<\/li>\n\n\n\n<li>The advanced 48GB HBM4E memory offers speeds of 16 Gbps per pin and boasts a 20% power efficiency improvement over older designs.<\/li>\n\n\n\n<li>Engineered with 1c-class DRAM and Advanced MR-MUF packaging, the chips cut thermal resistance by 17% for high-performance AI datacenters.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">South Korean memory giant SK Hynix Inc. has officially started shipping evaluation samples of its next-generation high-bandwidth memory, HBM4E, to major technology clients. The milestone development, which moves the company into the crucial customer-qualification phase, sent the chipmaker\u2019s stock soaring to historic highs. Shares of SK Hynix traded on the Korea Exchange closed up 6.19%, rising by 156,000 won to reach a record-breaking 2,677,000 KRW. The market rally highlights investors&#8217; immense confidence in the company&#8217;s ability to maintain its leading position in the rapidly growing artificial intelligence hardware sector.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The newly shipped 12-layer stacked HBM4E memory represents the seventh generation of high-bandwidth memory technology, designed specifically to feed data into ultra-powerful graphics processors and AI accelerators. The advanced memory chips deliver remarkable improvements in both raw performance and power management. According to company specifications, the next-gen memory features an impressive data processing speed of up to 16 gigabits per second (Gbps) per pin. More importantly, it improves energy efficiency by more than 20% compared to previous-generation memory models, allowing datacenters to cut operating costs while handling massive datasets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">High-speed memory stacks naturally generate intense heat when handling heavy AI workloads, which can cause performance throttling if left unchecked. To solve this thermal challenge, SK Hynix applied its proprietary &#8220;Advanced MR-MUF&#8221; process. This advanced packaging technique injects a liquid protective material into the microscopic gaps between stacked semiconductor dies and hardens it to reinforce structural stability. By deploying this process, the chipmaker successfully managed to pack a massive 48-gigabyte (GB) capacity into a 12-layer stack while improving heat dissipation performance by 17% compared to preceding designs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The technical composition of the new chips also showcases a major leap in manufacturing sophistication. While older HBM designs relied on fifth-generation (1b) 10-nanometer class dynamic random-access memory, SK Hynix built its next-generation HBM4E using the industry&#8217;s most advanced sixth-generation (1c) class DRAM. By integrating this cutting-edge silicon architecture, the engineers managed to optimize the chip&#8217;s internal layout, effectively reducing data transmission latency. This interface optimization ensures that the memory stack can operate with absolute stability even when paired with high-performance computing platforms running under maximum workloads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This rapid sampling timeline aligns perfectly with the development roadmaps of major AI chipmakers. SK Hynix recently signed a high-profile supply deal with NVIDIA Corporation to provide memory chips for its most advanced processors. The preceding HBM4 memory is slated to power NVIDIA\u2019s upcoming &#8220;Vera Rubin&#8221; AI architecture, which is on track to launch in the second half of this year. Meanwhile, the newly sampled HBM4E is expected to be integrated into the high-performance &#8220;Vera Rubin Ultra&#8221; supercomputing platforms scheduled to roll out next year, as well as AMD\u2019s next-generation Instinct MI500 accelerators.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">SK Hynix is currently locked in a fierce, multi-front battle to dominate the lucrative high-bandwidth memory market. The company is one of only three mass producers of this critical technology globally, alongside domestic competitor Samsung Electronics and US-based Micron Technology. The race to qualify next-generation parts has intensified, with Samsung having announced the delivery of its own 12-layer HBM4E samples just a few weeks prior. This competitive dynamic is forcing manufacturers to transition as quickly as possible from laboratory product announcements to real-world hardware verification with clients.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The unprecedented demand coming from the AI sector has triggered a massive supply squeeze across the broader semiconductor industry. High-bandwidth memory chips require highly complex three-dimensional stacking processes, which consume significantly more silicon wafer capacity than standard computer memory. Industry analysts point out that producing HBM requires a three-to-one wafer conversion ratio compared to traditional DDR5 DRAM. This means that as manufacturers rush to expand their high-margin AI memory production lines, they are directly compressing the global supply of general-purpose computer memory, driving up hardware prices across other sectors of the electronics industry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The chipmaker&#8217;s structural advantages have prompted major investment banks to sharply upgrade their financial outlooks for the company. Financial analysts recently raised their target price for SK Hynix to 3.6 million won, reiterating their strongest buy recommendations. Researchers expect the company&#8217;s earnings growth to remain exceptionally robust through the second half of the year, supported by compounded price increases in the memory segment. As AI datacenters continue to expand globally, the critical bottleneck remains securing a steady supply of high-performance memory, placing SK Hynix in an incredibly advantageous negotiating position.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As SK Hynix collaborates with key partners to establish a timely mass-production system, the company is successfully laying the foundation to continue leading AI hardware innovation. By carrying over its accumulated expertise from previous generations, the company is positioning itself as the premier &#8220;all-around AI memory provider&#8221; for global technology giants. The successful delivery of the HBM4E samples marks a vital step in this strategy, proving that in the modern digital economy, success is determined not just by processing speed, but by the memory capacity that fuels it.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key Points: South Korean memory giant SK Hynix Inc. has officially started shipping evaluation samples of its next-generation high-bandwidth memory, HBM4E, to major technology clients.&hellip;<\/p>\n","protected":false},"author":1,"featured_media":36458,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44,45,46,43],"tags":[],"class_list":["post-40803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-exclusive","category-stock-markets","category-technology"],"_links":{"self":[{"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/posts\/40803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/comments?post=40803"}],"version-history":[{"count":0,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/posts\/40803\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/media\/36458"}],"wp:attachment":[{"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/media?parent=40803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/categories?post=40803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techgolly.com\/news\/wp-json\/wp\/v2\/tags?post=40803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}