SK海力士股价再新高:交付HBM4E样品,AI内存领跑地位再获验证

marsbitPublicado a 2026-06-18Actualizado a 2026-06-18

Resumen

SK海力士向主要客户交付了下一代AI内存芯片HBM4E的样品,推动其股价盘中暴涨7.3%,创下历史新高。这款12层堆叠的旗舰产品性能与能效显著提升:每引脚最高数据处理速度达16Gbps,功耗效率较前代提升超过20%,并通过先进封装技术将散热阻力降低17%,单颗容量达到48GB。 此次样品按期交付,标志着SK海力士在高带宽内存(HBM)领域的技术迭代再度提速,进一步巩固了其在AI基础设施供应链中的核心地位。公司表示,凭借在HBM3、HBM3E及HBM4上积累的量产与供应经验,将与合作伙伴紧密协作,推动HBM4E及时实现量产,以支持下一代AI数据中心和计算系统的开发,解决性能瓶颈。市场认为,这强化了SK海力士持续领跑AI内存赛道的预期。

SK 海力士向主要客户交付 HBM4E 样品,这款 12 层堆叠旗舰内存每引脚速度达 16Gbps,功耗效率提升逾 20%,散热阻力降低 17%,单颗容量达 48GB。消息一出,公司股价盘中暴涨 7.3% 至历史新高,市场对其持续领跑 AI 内存赛道的预期全面升温。

SK 海力士宣布向主要客户交付下一代 AI 内存芯片 HBM4E 样品,推动公司股价创下历史新高。

SK 海力士周四在官网表示,这款 12 层堆叠 HBM4E 产品每引脚最高数据处理速度达 16Gbps,功耗效率较上一代提升逾 20%,并通过先进封装技术将散热阻力降低 17%。SK 海力士表示,将与合作伙伴紧密协作,推动产品及时实现量产。

此次样品出货标志着 SK 海力士在高带宽内存领域的技术迭代再度提速,进一步巩固其在 AI 基础设施供应链中的核心地位,也为市场提供了该公司持续引领 HBM 技术路线的最新信号。

消息公布后,SK 海力士股价在韩国交易平台盘中上涨 7.3%,创下历史盘中新高。这一涨幅反映出市场对该公司在 AI 内存赛道持续领跑的强烈预期。自 HBM3、HBM3E 到 HBM4,SK 海力士已建立起从量产到供应的完整交付能力,此次 HBM4E 样品的按期出货,进一步强化了投资者对其技术兑现能力的信心。

性能与效率双重跃升

SK 海力士在声明中披露,12 层 HBM4E 在性能与功耗效率两个维度均实现显著提升。

具体而言,该产品每引脚最高数据处理速度达 16Gbps,功耗效率较前代产品提升逾 20%。与此同时,HBM4E 通过最新接口设计与优化,有效降低数据传输延迟,并在高带宽环境下保持稳定运行。上述特性直接提升了 AI 训练与推理场景下的数据处理能力,有助于客户在 AI 数据中心及大规模计算系统中提高运营效率。

先进封装技术支撑 48GB 容量

在封装工艺层面,SK 海力士采用 Advanced MR-MUF(大规模回流成型底部填充)技术,在 12 层堆叠结构下实现 48GB 的单颗容量,同时确保结构稳定性。

MR-MUF 工艺通过在芯片间注入液态保护材料来保护电路,SK 海力士在此基础上进一步优化,使 HBM4E 的散热阻力较上一代 HBM4 降低 17%,从而保障内存芯片在高性能计算环境中的稳定运行。这一技术突破对于持续高负荷运转的 AI 数据中心尤为关键。

SK 海力士总裁兼首席开发官 Ahn Hyun 在声明中表示:「SK 海力士凭借市场领先的技术能力与制造专长,以 HBM4E 为基础,奠定了强化 AI 领导地位的根基。通过与合作伙伴的紧密协作,我们将向市场交付所需价值,同时作为全栈 AI 内存创造者进一步巩固技术领先地位。」

SK 海力士强调,公司此前在 HBM3、HBM3E 及 HBM4 的量产与供应方面积累的丰富经验,是此次 HBM4E 样品得以按期交付的重要基础。公司表示,将依托经市场验证的产品可靠性与供应能力,支持下一代基础设施的开发,并协助解决 AI 系统的性能瓶颈。

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Preguntas relacionadas

QSK海力士最新交付的HBM4E样品在性能和功耗上有哪些关键提升?

ASK海力士最新交付的12层堆叠HBM4E样品,每引脚最高数据处理速度达到16Gbps。相比上一代产品,其功耗效率提升了超过20%。同时,通过先进的封装技术,散热阻力降低了17%。

QHBM4E的交付对SK海力士的股价产生了什么影响?

A消息公布后,SK海力士股价在韩国交易平台盘中一度暴涨7.3%,创下历史盘中新高。这反映了市场对其持续领跑AI内存赛道的强烈预期和信心。

QSK海力士采用了哪种先进的封装技术来实现HBM4E的48GB大容量?

ASK海力士采用了优化的Advanced MR-MUF(大规模回流成型底部填充)技术。这项技术通过在芯片间注入液态保护材料来保护电路,成功在12层堆叠结构下实现了48GB的单颗容量,同时确保结构稳定性,并将散热阻力降低17%。

QSK海力士在HBM产品线上已经建立了怎样的交付能力?

ASK海力士已经在HBM产品线上建立起从量产到供应的完整交付能力。其经验覆盖了从HBM3、HBM3E到HBM4的系列产品,此次HBM4E样品的按期出货进一步强化了市场对其技术兑现和供应链能力的信心。

QHBM4E的性能提升对人工智能应用有何具体意义?

AHBM4E在速度、功耗效率和散热方面的显著提升,直接增强了AI训练与推理场景下的数据处理能力。这有助于客户在AI数据中心及大规模计算系统中提高运营效率,解决AI系统的性能瓶颈,是构建下一代AI基础设施的关键组件。

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