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- Invests no gamblingInvests no gambling
  ·06-16
  Good
  Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.
  面对DRAM暴涨，AI存储向低成本闪存转移。AMD收购MEXT将AI驱动闪存技术引入数据中心，苹果推进端侧闪存方案。巨头看重闪存成本仅为DRAM的1/55，正重构AI存储架构。
  Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.
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- Invests no gamblingInvests no gambling
  ·05-18
  😉
  The largest IPO in history! Musk: Hopes to advance SpaceX's IPO "soon"
  5月18日，马斯克表示，他希望“很快”推进SpaceX的首次公开募股（IPO）。此前消息，SpaceX正大幅加快IPO进程。原定于6月下旬（马斯克生日前后）的上市计划，现已调整为最早于下周三（5月20日）公开招股说明书，6月4日启动路演，6月11日确定发行价格，最早于6月12日正式挂牌交易，股票代码为“SPCX”。知情人士透露，美国证券交易委员会（SEC）对公司IPO文件的审查进度快于预期，是此次上市时间表提前的主要原因。
  The largest IPO in history! Musk: Hopes to advance SpaceX's IPO "soon"
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This signifies that AI storage architectures are undergoing a structural migration, and the core driving force is only one number:<strong>Flash memory costs only 1/55 of DRAM.</strong></p><p><p style=\"text-align: left;\">On Monday, AMD announced the completion of its acquisition of MEXT for an undisclosed amount. MEXT's AI-driven predictive memory technology aims to make flash memory behave more closely to DRAM, expanding available memory capacity while maintaining performance and efficiency. AMD stated that the acquisition will expand its AI product portfolio, helping data center customers improve performance, reduce total cost of ownership, and accelerate workload deployment. \"Demand for memory is growing in every category of enterprise computing,\" AMD said in a statement.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/a86b38617b68e608382e6d8db9bf1389\" data-align=\"center\" tg-width=\"1024\" tg-height=\"755\"/><span></span></p><p><p style=\"text-align: left;\">The acquisition news boosted AMD's stock price by 7.7% to $550.75 on Monday, bringing its market capitalization close to the $900 billion mark. The S&P 500 index rose 1.8% overall that day. AMD's stock price has risen by 323% year-to-date. Citigroup upgraded its rating on AMD from neutral to buy last Friday, and raised its price target from $460 to $575.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/fe5a732905489dfc96d3c249e9bea543\" data-align=\"center\" tg-width=\"882\" tg-height=\"984\"/><span></span></p><p><p style=\"text-align: left;\">It is worth noting that,<a href=\"https://laohu8.com/S/AAPL\">Apple</a>The \"LLM in a Flash\" edge solution was launched as early as 2024. Behind this move lies an intensifying DRAM supply crisis. According to TrendForce data, high-bandwidth memory (HBM) now accounts for about a quarter of all DRAM wafer capacity, and DRAM contract prices surged by about 90% quarter-on-quarter in the first quarter of 2026. Citrine Research pointed out,<strong>The demand for AI storage has become so great that it requires a multi-tiered architecture to support it. Flash memory does not replace HBM, but rather addresses overflow demands in terms of capacity.</strong>—This restructuring is repricing the entire AI storage industry chain.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/7db9e832d1e323bc33ae1b899213dd97\" data-align=\"center\" tg-width=\"1024\" tg-height=\"825\"/><span></span></p><p><h2 style=\"text-align: left;\">Memory tax crisis: Bottlenecks spread from AI to the entire economy</h2><p style=\"text-align: left;\">according to<a href=\"https://laohu8.com/S/MS\">Morgan Stanley</a>Analyst Shawn Kim's team's assessment earlier this month,<strong>Soaring memory prices and supply shortages are evolving into a comprehensive risk to the digital economy.</strong>\"From bottlenecks in AI infrastructure to hardware profit margins, device affordability, cloud costs, inflation, and even policy.\" This pressure has been evidenced by specific cases: Xbox CEO Asha Sharma said last week that memory costs have increased about fivefold in the past two years, preventing the company from producing the number of game consoles consumers need.</p><p><p style=\"text-align: left;\">HBM's continued erosion of DRAM production capacity is the core driver of this crisis. According to TrendForce and<a href=\"https://laohu8.com/S/SMSN.UK\">Samsung</a>,SK Hynix,<a href=\"https://laohu8.com/S/MU\">Micron</a>According to data disclosed by other manufacturers, HBM's share of DRAM wafer production capacity has climbed from 2% in 2020 to an estimated 25% in 2026. Massive cloud vendors are pre-purchasing future wafer output under multi-year contracts, further reducing the available capacity of standard chips for mobile phones and PCs.</p><p><p style=\"text-align: left;\">The construction of new DRAM production capacity also faces structural constraints. Capacity expansion relies on EUV lithography printing for finer linewidths, with each EUV unit costing approximately $200 million. The investment in a new wafer fab is often...<a href=\"https://laohu8.com/S/SBAY\">Tens of billions</a>In US dollars, the construction period would take several years even under smooth conditions. This supply rigidity is the fundamental reason why this round of shortages is sustainable.</p><p><h2 style=\"text-align: left;\">55-fold cost difference: the economic logic of flash memory substitution</h2><p style=\"text-align: left;\">According to Citrini Research,<strong>Flash memory costs about 1/55 of DRAM per bit—QLC NAND is about $0.05 per GB, DDR5 DRAM is about $2.75, and HBM3E is as high as $15.</strong>The potential for this price difference lies in the fact that the largest single memory consumption in AI inference—the KV cache (which records all previously marked contexts in each generation step of the model and can grow to hundreds of GB in long conversations)—requires far less reading speed than the decoding path of the model weights. For this type of sequential data reading, the speed advantage of DRAM is significantly reduced, while the capacity advantage of flash memory is fully demonstrated.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/8f9b061541f243d013842840b2a9af30\" data-align=\"center\" tg-width=\"1024\" tg-height=\"671\"/><span></span></p><p><p style=\"text-align: left;\">The expansion path of flash memory is also fundamentally different from that of DRAM. Flash memory increases capacity by vertically stacking more cell layers, relies on existing deposition and etching processes in existing factories, eliminates the need for new lithography nodes, and does not consume EUV resources. Flash memory controllers are manufactured based on proven 6/7 nanometer processes, away from the bottlenecks that are constraining advanced processes.</p><p><p style=\"text-align: left;\">A previous paper by Apple researchers, \"LLM in a Flash,\" provides methodological support: by storing large language model parameters in the device's Flash memory and retrieving them to DRAM on demand, models exceeding their capacity limit can be run on devices with limited DRAM capacity, and inference speeds can be achieved on the CPU and GPU, respectively, 4 to 5 times faster and 20 to 25 times faster than the simple loading method.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/1b87a29aa7ba0ff023c247b4f54e9951\" data-align=\"center\" tg-width=\"1024\" tg-height=\"630\"/><span></span></p><p><h2 style=\"text-align: left;\">Two paths: Synchronous evolution between the data center and the edge</h2><p style=\"text-align: left;\">AMD's acquisition focuses on the data center scenario. By integrating MEXT technology into AMD's data center portfolio, AMD seeks to help enterprise customers improve resource efficiency and reduce costs in AI workload deployments. Morgan Stanley's Shawn Kim team believes that despite persistent memory shortages, AMD still has a structural advantage in the cloud market competition—\"Agent-driven AI-driven CPU demand is structurally beneficial for AMD's expansion of its cloud market share.\" Citi's optimistic forecast for AMD is more based on its GPU sales and...<a href=\"https://laohu8.com/S/NVDA\">NVIDIA</a>A positive competitive landscape.</p><p><p style=\"text-align: left;\">Apple's path, on the other hand, falls on the device side. The \"LLM in a Flash\" solution transfers the reliance of model inference on expensive cloud memory to the device's local Flash memory, reducing cloud computing costs while providing viable memory architecture support for edge AI applications.</p><p><p style=\"text-align: left;\">According to Citrini Research, both paths lead to the same conclusion:<strong>The memory layer of AI inference is being restructured. Low-frequency KV cache, model weights, and edge data will gradually sink from the expensive HBM/DRAM layer to the NAND Flash/SSD layer, forming a multi-tiered storage architecture.</strong></p><p><p style=\"text-align: left;\">This structural shift is creating a multi-layered transmission effect along the industrial chain. According to Citrini Research, the most direct beneficiaries are NAND manufacturers, with high-capacity NAND, enterprise-grade SSDs, and QLC NAND being the purest directions, including SanDisk,<a href=\"https://laohu8.com/S/WDC\">Western Data</a>Micron and Kioxia.</p><p><p style=\"text-align: left;\">The SSD controller layer is considered the most durable—the core of truly bringing flash memory closer to the memory experience lies in controller, firmware, and NVMe architecture optimization, involving...<a href=\"https://laohu8.com/S/SIMO\">Silicon Motion</a>, Marvell et al. The CXL/PCIe high-speed interconnect layer also benefits.</p><p></body></html></p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Citrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 12.5px; color: #7E829C; margin: 0;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nCitrini: AMD and Apple are both betting on flash memory to replace DRAM, potentially reducing memory costs by 55 times.\n</h2>\n<h4 class=\"meta\">\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">华尔街见闻 </p>\n<p class=\"h-time smaller\">2026-06-16 16:51</p>\n</div>\n</a>\n</h4>\n</header>\n<article>\n<p><html><head></head><body><p style=\"text-align: left;\">AI inference's reliance on expensive DRAM is loosening.<a href=\"https://laohu8.com/S/AMD\">AMD</a>Announced the acquisition of memory optimization company MEXT, bringing AI-driven flash optimization technology to data centers. This signifies that AI storage architectures are undergoing a structural migration, and the core driving force is only one number:<strong>Flash memory costs only 1/55 of DRAM.</strong></p><p><p style=\"text-align: left;\">On Monday, AMD announced the completion of its acquisition of MEXT for an undisclosed amount. MEXT's AI-driven predictive memory technology aims to make flash memory behave more closely to DRAM, expanding available memory capacity while maintaining performance and efficiency. AMD stated that the acquisition will expand its AI product portfolio, helping data center customers improve performance, reduce total cost of ownership, and accelerate workload deployment. \"Demand for memory is growing in every category of enterprise computing,\" AMD said in a statement.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/a86b38617b68e608382e6d8db9bf1389\" data-align=\"center\" tg-width=\"1024\" tg-height=\"755\"/><span></span></p><p><p style=\"text-align: left;\">The acquisition news boosted AMD's stock price by 7.7% to $550.75 on Monday, bringing its market capitalization close to the $900 billion mark. The S&P 500 index rose 1.8% overall that day. AMD's stock price has risen by 323% year-to-date. Citigroup upgraded its rating on AMD from neutral to buy last Friday, and raised its price target from $460 to $575.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/fe5a732905489dfc96d3c249e9bea543\" data-align=\"center\" tg-width=\"882\" tg-height=\"984\"/><span></span></p><p><p style=\"text-align: left;\">It is worth noting that,<a href=\"https://laohu8.com/S/AAPL\">Apple</a>The \"LLM in a Flash\" edge solution was launched as early as 2024. Behind this move lies an intensifying DRAM supply crisis. According to TrendForce data, high-bandwidth memory (HBM) now accounts for about a quarter of all DRAM wafer capacity, and DRAM contract prices surged by about 90% quarter-on-quarter in the first quarter of 2026. Citrine Research pointed out,<strong>The demand for AI storage has become so great that it requires a multi-tiered architecture to support it. Flash memory does not replace HBM, but rather addresses overflow demands in terms of capacity.</strong>—This restructuring is repricing the entire AI storage industry chain.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/7db9e832d1e323bc33ae1b899213dd97\" data-align=\"center\" tg-width=\"1024\" tg-height=\"825\"/><span></span></p><p><h2 style=\"text-align: left;\">Memory tax crisis: Bottlenecks spread from AI to the entire economy</h2><p style=\"text-align: left;\">according to<a href=\"https://laohu8.com/S/MS\">Morgan Stanley</a>Analyst Shawn Kim's team's assessment earlier this month,<strong>Soaring memory prices and supply shortages are evolving into a comprehensive risk to the digital economy.</strong>\"From bottlenecks in AI infrastructure to hardware profit margins, device affordability, cloud costs, inflation, and even policy.\" This pressure has been evidenced by specific cases: Xbox CEO Asha Sharma said last week that memory costs have increased about fivefold in the past two years, preventing the company from producing the number of game consoles consumers need.</p><p><p style=\"text-align: left;\">HBM's continued erosion of DRAM production capacity is the core driver of this crisis. According to TrendForce and<a href=\"https://laohu8.com/S/SMSN.UK\">Samsung</a>,SK Hynix,<a href=\"https://laohu8.com/S/MU\">Micron</a>According to data disclosed by other manufacturers, HBM's share of DRAM wafer production capacity has climbed from 2% in 2020 to an estimated 25% in 2026. Massive cloud vendors are pre-purchasing future wafer output under multi-year contracts, further reducing the available capacity of standard chips for mobile phones and PCs.</p><p><p style=\"text-align: left;\">The construction of new DRAM production capacity also faces structural constraints. Capacity expansion relies on EUV lithography printing for finer linewidths, with each EUV unit costing approximately $200 million. The investment in a new wafer fab is often...<a href=\"https://laohu8.com/S/SBAY\">Tens of billions</a>In US dollars, the construction period would take several years even under smooth conditions. This supply rigidity is the fundamental reason why this round of shortages is sustainable.</p><p><h2 style=\"text-align: left;\">55-fold cost difference: the economic logic of flash memory substitution</h2><p style=\"text-align: left;\">According to Citrini Research,<strong>Flash memory costs about 1/55 of DRAM per bit—QLC NAND is about $0.05 per GB, DDR5 DRAM is about $2.75, and HBM3E is as high as $15.</strong>The potential for this price difference lies in the fact that the largest single memory consumption in AI inference—the KV cache (which records all previously marked contexts in each generation step of the model and can grow to hundreds of GB in long conversations)—requires far less reading speed than the decoding path of the model weights. For this type of sequential data reading, the speed advantage of DRAM is significantly reduced, while the capacity advantage of flash memory is fully demonstrated.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/8f9b061541f243d013842840b2a9af30\" data-align=\"center\" tg-width=\"1024\" tg-height=\"671\"/><span></span></p><p><p style=\"text-align: left;\">The expansion path of flash memory is also fundamentally different from that of DRAM. Flash memory increases capacity by vertically stacking more cell layers, relies on existing deposition and etching processes in existing factories, eliminates the need for new lithography nodes, and does not consume EUV resources. Flash memory controllers are manufactured based on proven 6/7 nanometer processes, away from the bottlenecks that are constraining advanced processes.</p><p><p style=\"text-align: left;\">A previous paper by Apple researchers, \"LLM in a Flash,\" provides methodological support: by storing large language model parameters in the device's Flash memory and retrieving them to DRAM on demand, models exceeding their capacity limit can be run on devices with limited DRAM capacity, and inference speeds can be achieved on the CPU and GPU, respectively, 4 to 5 times faster and 20 to 25 times faster than the simple loading method.</p><p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/1b87a29aa7ba0ff023c247b4f54e9951\" data-align=\"center\" tg-width=\"1024\" tg-height=\"630\"/><span></span></p><p><h2 style=\"text-align: left;\">Two paths: Synchronous evolution between the data center and the edge</h2><p style=\"text-align: left;\">AMD's acquisition focuses on the data center scenario. By integrating MEXT technology into AMD's data center portfolio, AMD seeks to help enterprise customers improve resource efficiency and reduce costs in AI workload deployments. Morgan Stanley's Shawn Kim team believes that despite persistent memory shortages, AMD still has a structural advantage in the cloud market competition—\"Agent-driven AI-driven CPU demand is structurally beneficial for AMD's expansion of its cloud market share.\" Citi's optimistic forecast for AMD is more based on its GPU sales and...<a href=\"https://laohu8.com/S/NVDA\">NVIDIA</a>A positive competitive landscape.</p><p><p style=\"text-align: left;\">Apple's path, on the other hand, falls on the device side. The \"LLM in a Flash\" solution transfers the reliance of model inference on expensive cloud memory to the device's local Flash memory, reducing cloud computing costs while providing viable memory architecture support for edge AI applications.</p><p><p style=\"text-align: left;\">According to Citrini Research, both paths lead to the same conclusion:<strong>The memory layer of AI inference is being restructured. Low-frequency KV cache, model weights, and edge data will gradually sink from the expensive HBM/DRAM layer to the NAND Flash/SSD layer, forming a multi-tiered storage architecture.</strong></p><p><p style=\"text-align: left;\">This structural shift is creating a multi-layered transmission effect along the industrial chain. According to Citrini Research, the most direct beneficiaries are NAND manufacturers, with high-capacity NAND, enterprise-grade SSDs, and QLC NAND being the purest directions, including SanDisk,<a href=\"https://laohu8.com/S/WDC\">Western Data</a>Micron and Kioxia.</p><p><p style=\"text-align: left;\">The SSD controller layer is considered the most durable—the core of truly bringing flash memory closer to the memory experience lies in controller, firmware, and NVMe architecture optimization, involving...<a href=\"https://laohu8.com/S/SIMO\">Silicon Motion</a>, Marvell et al. The CXL/PCIe high-speed interconnect layer also benefits.</p><p></body></html></p>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/a86b38617b68e608382e6d8db9bf1389","relate_stocks":{"LU2108987350.USD":"UBS (LUX) EQUITY SICAV GLOBAL OPPORTUNITY SUSTAINABLE (USD) \"P\" (USD) ACC","HK0000306685.HKD":"TAIKANG KAITAI CHINA NEW OPPORTUNITIES FUND \"A\" (HKD) INC","LU0792757196.USD":"TEMPLETON SHARIAH GLOBAL EQUITY FUND \"A\" (USD) ACC","LU2213496289.HKD":"ALLIANZ INCOME AND GROWTH \"AT\" (HKD) ACC","LU0127658192.USD":"EASTSPRING INVESTMENTS GLOBAL TECHNOLOGY \"A\" (USD) ACC","LU0784383803.USD":"BGF GLOBAL MULTI-ASSET INCOME FUND \"A\" (USD) INC A","LU1037948897.HKD":"AB LOW VOLATILITY EQUITY PORTFOLIO \"AD\" (HKD) INC","LU0345768153.USD":"NINETY ONE GSF GLOBAL STRATEGIC MANAGED \"A\" (USD) ACC","LU0265550359.USD":"BGF SYSTEMATIC GLOBAL ENHANCED EQUITY YIELD \"A2\" (USD) ACC","LU1934455277.USD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"AD\" (USD) INC","LU0557290698.USD":"施罗德环球可持续增长基金","LU1037948541.HKD":"AB LOW VOLATILITY EQUITY PORTFOLIO \"A\" (HKD) ACC","HK0000306701.USD":"TAIKANG KAITAI CHINA NEW OPPORTUNITIES FUND \"A\" (USD) INC","LU0081259029.USD":"UBS (LUX) EQUITY FUND - 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Musk: Hopes to advance SpaceX's IPO \"soon\"","url":"https://stock-news.laohu8.com/highlight/detail?id=1119723737","media":"老虎资讯综合","summary":"5月18日，马斯克表示，他希望“很快”推进SpaceX的首次公开募股（IPO）。此前消息，SpaceX正大幅加快IPO进程。原定于6月下旬（马斯克生日前后）的上市计划，现已调整为最早于下周三（5月20日）公开招股说明书，6月4日启动路演，6月11日确定发行价格，最早于6月12日正式挂牌交易，股票代码为“SPCX”。知情人士透露，美国证券交易委员会（SEC）对公司IPO文件的审查进度快于预期，是此次上市时间表提前的主要原因。","content":"<p><html><head></head><body>On May 18, Musk said he hoped to move forward with SpaceX's initial public offering (IPO) \"soon\".</p><p>Previous reports indicated that SpaceX is accelerating its IPO process, aiming for the largest initial public offering in history. Last Friday local time, the Wall Street Journal, citing sources familiar with the matter, reported that Elon Musk's rocket company SpaceX plans to officially go public on June 12, with an expected fundraising scale of up to $80 billion or more, listed on Nasdaq. If the plan proceeds smoothly, it will become the largest IPO in the history of global capital markets.</p><p><p style=\"text-align: justify;\">The proceeds from this round of financing will be primarily used to promote the large-scale launch program of the Starship project and to build a data center network deployed in low Earth orbit.</p><p><p style=\"text-align: justify;\">According to Reuters, citing sources familiar with the matter, SpaceX has significantly advanced its original schedule—originally planned to complete the IPO process in late June (around Musk's birthday), but has now adjusted to publicly announcing its prospectus as early as next Wednesday, launching its roadshow on June 4, and officially going public on June 12.</p><p></body></html></p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>The largest IPO in history! Musk: Hopes to advance SpaceX's IPO \"soon\"</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 12.5px; color: #7E829C; margin: 0;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nThe largest IPO in history! Musk: Hopes to advance SpaceX's IPO \"soon\"\n</h2>\n<h4 class=\"meta\">\n<a class=\"head\" href=\"https://laohu8.com/wemedia/102\">\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">老虎资讯综合 </p>\n<p class=\"h-time smaller\">2026-05-18 15:13</p>\n</div>\n</a>\n</h4>\n</header>\n<article>\n<p><html><head></head><body>On May 18, Musk said he hoped to move forward with SpaceX's initial public offering (IPO) \"soon\".</p><p>Previous reports indicated that SpaceX is accelerating its IPO process, aiming for the largest initial public offering in history. Last Friday local time, the Wall Street Journal, citing sources familiar with the matter, reported that Elon Musk's rocket company SpaceX plans to officially go public on June 12, with an expected fundraising scale of up to $80 billion or more, listed on Nasdaq. If the plan proceeds smoothly, it will become the largest IPO in the history of global capital markets.</p><p><p style=\"text-align: justify;\">The proceeds from this round of financing will be primarily used to promote the large-scale launch program of the Starship project and to build a data center network deployed in low Earth orbit.</p><p><p style=\"text-align: justify;\">According to Reuters, citing sources familiar with the matter, SpaceX has significantly advanced its original schedule—originally planned to complete the IPO process in late June (around Musk's birthday), but has now adjusted to publicly announcing its prospectus as early as next Wednesday, launching its roadshow on June 4, and officially going public on June 12.</p><p></body></html></p>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/37a92dcaf28f64e8cb7016e217314e1f","relate_stocks":{"DXYZ":"Destiny Tech100 Inc"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1119723737","content_text":"5月18日，马斯克表示，他希望“很快”推进SpaceX的首次公开募股（IPO）。此前消息，SpaceX正加速推进上市进程，剑指史上规模最大的首次公开募股。当地时间上周五，华尔街日报援引知情人士消息报道，埃隆·马斯克旗下火箭公司SpaceX计划于6月12日正式挂牌上市，预计融资规模高达800亿美元甚至更多，上市地点为纳斯达克。若计划顺利推进，这将成为全球资本市场有史以来规模最大的IPO。本轮融资所得将主要用于推动“星舰”（Starship）项目的大规模发射计划，以及建设部署于近地轨道的数据中心网络。另据路透援引知情人士报道，SpaceX已大幅提前原定时间表——原计划于6月下旬（马斯克生日前后）完成上市流程，现已调整为最早于下周三公开招股说明书，6月4日启动路演，并于6月12日正式上市。","news_type":1,"symbols_score_info":{"DXYZ":2}},"isVote":1,"tweetType":1,"viewCount":1568,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"defaultTab":"posts","isTTM":true}