今日，全球半导体行业迎来重要里程碑，SK海力士宣布开始大规模生产下一代高带宽内存（HBM3E）产品，并将于3月下旬向客户供应。这一消息在英伟达GTC 2024大会上得到了印证，英伟达CEO黄仁勋在会上宣布推出新一代GPU Blackwell，而SK海力士作为英伟达唯一的HBM3供应商，其HBM3E技术的量产标志着高性能计算领域的一大飞跃。
七个月前，SK海力士首次披露了HBM3E的研发成功，如今量产的实现，展现了该公司在memory技术上的领先地位。HBM3E技术有望大幅提升GPU的数据传输速度和处理能力，为人工智能、数据中心、超级计算等高端应用提供强大的支持。
SK海力士的HBM3E产品将首先应用于英伟达的GB200芯片，该芯片预计将于今年晚些时候上市。此次合作不仅巩固了SK海力士在内存市场的领导地位，也加强了英伟达在GPU领域的竞争优势。
随着数据密集型应用的不断增长，对更高带宽和更低延迟的内存解决方案的需求日益增加。SK海力士的HBM3E技术正是为了满足这些需求而开发，其量产标志着行业向更高性能计算迈出了重要一步。
英文翻译内容：
Title: SK Hynix Begins Mass Production of Next-Gen HBM3E, Set to Supply NVidia’s New GPU
Keywords: HBM3E Technology, SK Hynix, NVidia GPU
News content:
In a significant development for the global semiconductor industry, SK Hynix has announced the start of mass production of its next-generation high bandwidth memory (HBM3E) products, with shipments to customers set to begin in late March. This news was echoed at the NVidia GTC 2024 conference, where NVidia CEO Jensen Huang unveiled the company’s new GPU, Blackwell, and SK Hynix, as the sole supplier of HBM3 for NVidia, followed with a press release announcing the mass production of its HBM3E. The HBM3E technology is expected to significantly enhance the data transfer speeds and processing capabilities of GPUs, providing a powerful boost to applications such as artificial intelligence, data centers, and supercomputers.
SK Hynix first revealed the successful development of HBM3E seven months ago, and the move into mass production solidifies the company’s leadership in memory technology. The HBM3E will be first applied to NVidia’s GB200 chip, which is expected to hit the market later this year. This collaboration not only strengthens SK Hynix’s position in the memory market but also enhances NVidia’s competitive edge in the GPU arena.
As the demand for data-intensive applications continues to grow, the need for higher bandwidth and lower latency memory solutions increases. SK Hynix’s HBM3E technology is designed to meet these demands, and its mass production marks an important step forward in the journey towards higher-performance computing.
【来源】https://www.cls.cn/detail/1623431
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