在美国限制的担忧下,中国科技公司争相囤积HBM芯片

币界网Published on 2024-08-10Last updated on 2024-08-10

币界网报道:

中国科技公司正争先恐后地囤积三星的高带宽内存(HBM)芯片,这些芯片在受到美国限制的影响之前为人工智能系统提供动力。据报道,随着地缘政治紧张局势的持续,美国出于安全原因寻求制裁在中国销售和分销这些芯片。

彭博社7月31日的一份报告显示,美国可能会利用其《外国直接产品规则》(FDPR)阻止中国购买韩国三星和SK海力士生产的芯片。路透社的一篇报道还称,新一轮芯片出口管制将于本月底宣布。

据报道,华为和百度等科技巨头正在增持股票,因为他们预计随着与中国的地缘政治紧张局势加剧,美国可能会实施禁令。HBM芯片被用作AI加速器。

中国对HDM芯片的需求强劲

据路透社报道,2024年上半年,中国占三星HBM芯片收入的30%。路透社报道援引三位未具名消息人士的话称,百度和华为等科技巨头为这一需求和中国的初创企业做出了重大贡献。

报告还指出,大多数中国科技公司特别寻求HBM2E芯片,该芯片比HBM3落后一代,比HBM3E落后两代。中国还计划在当地生产HBM2,这是最成熟但最不先进的型号。

总部位于法国的研究机构Yole Group在一份报告中表示,2024年全球HMB市场收入可能跃升至140亿美元,而2022年为27亿美元。预计2029年,这一数字将继续上升至377亿美元,从2023年到2029年的复合年增长率为38%。

该研究公司还表示,今年HBM占DRAM市场的比例将从2022年的3%上升到19%。但方正证券的分析师预测,今年全球HBM需求仅为91.4亿美元,英伟达占所有HBM芯片的58%,而谷歌、AMD和中国公司分别占15%、14%和7%。

台湾DigiTimes最近报道称,中国公司囤积三星HBM芯片刺激了今年前七个月中国芯片的整体进口。

然而,观查网专栏作家李亚丽写道,今年前七个月中国芯片进口量的增加可能是由于中国消费电子产品的反弹,而不是囤积HBM芯片。

中国科技公司希望提高国内产量

彭博社6月报道称,美国商务部工业和安全局局长Alan Estevez将访问日本和荷兰,鼓励两国政府阻止ASML和东京电子向中国出售HBM芯片制造设备。

现在,据报道,中国长新存储技术公司(CXMT)已经开始生产HBM2芯片。尽管该公司尚未公开披露HBM芯片生产的进展,但2024年5月的一份报告称,CXMT已与通富微电子合作开发了样品芯片,并向一些客户展示了产品。

中国评论员认为,通富微电子、JCET集团和华天科技有潜力生产HBM芯片。他们补充说,虽然通富仍需要更多时间为大规模生产做准备,但它是该行业一个有能力、有实力的参与者。

生态环境部3月份对南通通富HBM芯片生产设施的评估报告显示,这家拥有250名员工的工厂每年可以生产36000个80毫米长的HNM芯片。

南通通富是通富微电子的全资子公司。2022年12月,该公司在江苏省南通市完成了三期工厂的建设,以提高产量。

Related Reads

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit9h ago

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit9h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

marsbit9h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

marsbit9h ago

Trading

Spot
Futures
活动图片