{"id":1966,"date":"2024-06-14T06:00:59","date_gmt":"2024-06-14T06:00:59","guid":{"rendered":"http:\/\/localhost:8080\/the-unseen-power-driving-our-data-centric-world-in-the-ai-era\/"},"modified":"2026-07-17T10:40:50","modified_gmt":"2026-07-17T10:40:50","slug":"the-unseen-power-driving-our-data-centric-world-in-the-ai-era","status":"publish","type":"post","link":"https:\/\/news.skhynix.com\/en\/the-unseen-power-driving-our-data-centric-world-in-the-ai-era\/","title":{"rendered":"[Brand Video] The Unseen Power Driving Our Data-Centric World in the AI Era"},"content":{"rendered":"<div class=\"wp-video\" style=\"width: 640px;\">\n<div style=\"width: 580px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-1966-1\" width=\"580\" height=\"326\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/d18r0a86za96sg.cloudfront.net\/wp-content\/uploads\/2024\/06\/17104045\/The-Unseen-Power-Driving-Our-Data-Centric-World-in-the-AI-Era.mp4?_=1\" \/><a href=\"https:\/\/d18r0a86za96sg.cloudfront.net\/wp-content\/uploads\/2024\/06\/17104045\/The-Unseen-Power-Driving-Our-Data-Centric-World-in-the-AI-Era.mp4\">https:\/\/d18r0a86za96sg.cloudfront.net\/wp-content\/uploads\/2024\/06\/17104045\/The-Unseen-Power-Driving-Our-Data-Centric-World-in-the-AI-Era.mp4<\/a><\/video><\/div>\n<\/div>\n<p>It started with bytes, kilobytes, and megabytes. Then gigabytes and terabytes. Now, it\u2019s zettabytes (1 billion terabytes), yottabytes (1,000 zettabytes), and more. The rapid rate of data generation in recent years means new terms need to be created to quantify data.<\/p>\n<p>These days, more than 300 quadrillion (300,000,000,000,000,000) bytes of data are created globally every day<sup style=\"color: #ff0000;\">* <\/sup>. Emails, online video, social media, web searches, Internet of Things (IoT) devices and more all contribute to today\u2019s data explosion. With the arrival of the AI era and emergence of applications such as ChatGPT, Sora, and Midjourney, the pace of data generation will only continue to grow. So, how can the world handle and manage all this data? The answer lies in high-performance semiconductor memory.<\/p>\n<p class=\"footnote\"><sup style=\"color: #ff0000;\">* <\/sup>Source: \u201cVolume of data\/information created, captured, copied, and consumed worldwide from 2010 to 2020, with forecasts from 2021 to 2025,\u201d Statista (June 2021). The 2023 figure is a forecast and has been converted into a daily total.<\/p>\n<p>As highlighted in the brand film above, memory is required to store, process, compute, and learn the world\u2019s data. Today, SK hynix is the leading memory solution provider, offering the world\u2019s fastest and most advanced products that are critical for AI systems.<\/p>\n<p>\u00a0<\/p>\n<div style=\"text-align: center;\">\n<div style=\"display: inline-block; max-width: 748px; width: 100%; text-align: left;\">\n<div style=\"height: 2px; background: #666666; margin-bottom: 6px;\"><\/div>\n<h3 class=\"sub-title\" style=\"margin: 0; line-height: 1.4;\">How Memory Unlocks Advanced AI Performance<\/h3>\n<div style=\"height: 2px; background: #666666; margin-top: 6px;\"><\/div>\n<\/div>\n<\/div>\n<p>In the age of AI, semiconductor memory is essential for the smooth operation of AI systems. This is shown in memory\u2019s role in large language models (LLMs)<sup style=\"color: #ff0000;\">* <\/sup>, which are trained on large datasets to improve their performance. Memory products enable the storage and quick retrieval of these datasets, allowing AI systems to efficiently process data. Furthermore, memory solutions with high bandwidth and capacity accelerate the training process of these systems by rapidly accessing and handling data. Trained AI models need to then make predictions, process new data, or generate an output in real-time applications. This is where memory solutions enable rapid access to pre-trained models and associated data, allowing for quick inference<sup style=\"color: #ff0000;\">* <\/sup> and response times.<\/p>\n<p class=\"footnote\"><sup style=\"color: #ff0000;\">* <\/sup>Large language model (LLM): As language models trained on vast amounts of data, LLMs are essential for performing generative AI tasks as they create, summarize, and translate texts.<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>AI inference: The process of running live data through a trained AI model to make a prediction or solve a task.<\/p>\n<p>As a market leader, SK hynix offers high-performance AI memory products that are crucial for AI training, inference, and more. All of these solutions are optimized to meet the growing needs of AI systems.<\/p>\n<p>\u00a0<\/p>\n<div style=\"text-align: center;\">\n<div style=\"display: inline-block; max-width: 748px; width: 100%; text-align: left;\">\n<div style=\"height: 2px; background: #666666; margin-bottom: 6px;\"><\/div>\n<h3 class=\"sub-title\" style=\"margin: 0; line-height: 1.4;\">SK hynix\u2019s Next-Gen Memory for Tomorrow\u2019s AI Systems<\/h3>\n<div style=\"height: 2px; background: #666666; margin-top: 6px;\"><\/div>\n<\/div>\n<\/div>\n<p>The increasing complexity and growing inference needs of AI applications have led to the emergence of more sophisticated models, larger datasets, and higher data processing requirements. To satisfy these high demands, SK hynix has been developing total AI memory solutions capable of enhancing AI performance through rapid data transfers, increased bandwidth, and maximum energy efficiency.<\/p>\n<p>These products include the company\u2019s next-generation AI server solutions, such as the world\u2019s best-performing HBM3E. This ultra-high performance AI memory solution offers industry-leading data processing speeds and high capacity\u2014making it ideal for AI training servers in data centers. Having already gained the biggest share of the HBM<sup style=\"color: #ff0000;\">* <\/sup> market, SK hynix will further its leadership in the field through the <a href=\"https:\/\/news.skhynix.com\/sk-hynix-begins-volume-production-of-industry-first-hbm3e\/\"><span style=\"text-decoration: underline;\">mass production of HBM3E<\/span><\/a>.<\/p>\n<p>Another key AI server product from SK hynix is CXL<sup>\u00ae<\/sup><sup style=\"color: #ff0000;\">* <\/sup>, a standardized interface that elevates the utilization of CPUs, GPUs, accelerators, and memory. As it can expand memory as well as increase system bandwidth and processing capacity, CXL is suited for handling the high performance demands of AI servers. Furthermore, the QLC<sup style=\"color: #ff0000;\">* <\/sup>-based enterprise SSDs (eSSDs) developed by SK hynix\u2019s U.S. subsidiary Solidigm offer industry-leading performance and massive capacity. These SSDs are therefore an optimal solution for AI servers that require immense storage space.<\/p>\n<p class=\"footnote\"><sup style=\"color: #ff0000;\">* <\/sup>High Bandwidth Memory (HBM): HBM is a high-value, high-performance product that revolutionizes data processing speeds by connecting multiple DRAM chips with through-silicon via (TSV).<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>Compute Express Link (CXL): A PCIe-based next-generation interconnect protocol on which high-performance computing systems are based.<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>Quadruple Level Cell (QLC): A form of NAND flash memory that can store up to 4 bits of data per memory cell. As QLC contains four times more data than a single level cell, it can facilitate realization of high capacity and raise cost efficiency.<\/p>\n<p>In addition to these server products, SK hynix also offers a range of on-device AI<sup style=\"color: #ff0000;\">* <\/sup> solutions. As the world\u2019s fastest mobile DRAM, LPDDR5T<sup style=\"color: #ff0000;\">* <\/sup> is optimized for mobile devices. Offering breakneck operating speed and unparalleled low-power and low-voltage characteristics, LPDDR5T meets the demands for high-performing and energy-efficient mobile DRAMs.<\/p>\n<p>SK hynix\u2019s latest GDDR<sup style=\"color: #ff0000;\">* <\/sup> solution is also set to be integral for on-device AI PCs. GDDR7 offers significant improvements in bandwidth and power efficiency from its predecessor GDDR6, enabling it to handle rapid and large-capacity data processing for AI inference. Additionally, the company\u2019s PCIe<sup style=\"color: #ff0000;\">* <\/sup> Gen5 SSD PCB01 will be a gamechanger for on-device AI PCs. Boasting the industry\u2019s highest sequential read speed and a rapid sequential write speed, PCB01 can load LLMs required for AI learning and inference in less than one second.<\/p>\n<p class=\"footnote\"><sup style=\"color: #ff0000;\">* <\/sup>On-device AI: The performance of AI computation and inference directly within devices such as smartphones or PCs, unlike cloud-based AI services that require a remote cloud server.<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>Low Power Double Data Rate 5 Turbo (LPDDR5T): Low-power DRAM for mobile devices, including smartphones and tablets, aimed at minimizing power consumption and featuring low voltage operation. LPDDR5T is an upgraded product of the 7th generation LPDDR5X and will be succeeded by the 8th generation LPDDR6.<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>Graphics DDR (GDDR): A standard specification of graphics DRAM defined by the Joint Electron Device Engineering Council (JEDEC) and specialized for processing graphics more quickly. It is now one of the most popular memory chips for AI and big data applications.<br \/>\n<sup style=\"color: #ff0000;\">* <\/sup>Peripheral Component Interconnect Express (PCIe): A high-speed input\/output interface with a serialization format used on the motherboard of digital devices.<\/p>\n<p>\u00a0<\/p>\n<div style=\"text-align: center;\">\n<div style=\"display: inline-block; max-width: 748px; width: 100%; text-align: left;\">\n<div style=\"height: 2px; background: #666666; margin-bottom: 6px;\"><\/div>\n<h3 class=\"sub-title\" style=\"margin: 0; line-height: 1.4;\">The Unseen Power Behind AI<\/h3>\n<div style=\"height: 2px; background: #666666; margin-top: 6px;\"><\/div>\n<\/div>\n<\/div>\n<p>As the leading AI memory solution provider, SK hynix is committed to driving innovation in AI memory technology to meet the needs of companies worldwide. Having already started mass-producing HBM3E, the company plans to begin mass production of the next-generation HBM4 in 2025. In the AI era when data storage and usage requirements are only increasing, SK hynix\u2019s high-performance solutions are the unseen power enabling AI systems for our data-hungry world.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It started with bytes, kilobytes, and megabytes. Then gigabytes and terabytes. Now, it\u2019s zettabytes (1 billion terabytes), yottabytes (1,000 zettabytes), and more. The rapid rate of data generation in recent years means new terms need to be created to quantify data. These days, more than 300 quadrillion (300,000,000,000,000,000) bytes of data are created globally every [\u2026]<\/p>\n","protected":false},"author":23,"featured_media":1965,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_migrated_source_id":15181,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[5],"tags":[675,14,974,1002,1001],"class_list":["post-1966","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-and-ai","tag-ai-era","tag-ai-memory","tag-brand-video","tag-data-explosion","tag-unseen-power"],"acf":[],"_links":{"self":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/1966","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/comments?post=1966"}],"version-history":[{"count":4,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/1966\/revisions"}],"predecessor-version":[{"id":11282,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/1966\/revisions\/11282"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/media\/1965"}],"wp:attachment":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/media?parent=1966"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/categories?post=1966"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/tags?post=1966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}