全球知名芯片制造商英伟达的最新高端产品——H200芯片，预计在第二季度开始向市场供货，引发了四大云端服务供应商的激烈竞争。这一创新芯片的出现，旨在满足日益增长的人工智能运算需求。据供应链消息透露，台湾电子巨头广达电脑已着手生产搭载H200芯片的AI服务器，预计将在第三季度完成后段测试并大规模量产。
尽管广达电脑遵循其一贯的政策，对单一客户订单的详细动态保持沉默，但业内消息指出，此次广达的H200芯片AI服务器量产规模宏大，首批订单量预计将不少于数百个机柜。值得注意的是，这批服务器的出货单价是传统服务器机柜的三到四倍，彰显了其高性能和高价值的特性。
这一消息标志着全球AI运算能力的又一重大跃升，预示着云计算和人工智能领域将迎来更强大的硬件支持。英伟达的H200芯片和广达的AI服务器合作，无疑将为全球数据中心和企业级用户提供更高效、更强大的计算解决方案，进一步推动AI技术在各行业的广泛应用。
英语如下：
**News Title:** “Nvidia H200 Chip Leads AI Server Revolution: Quanta Mass Produces in Q3 Amidst Intense Cloud Giant Rivalry”
**Keywords:** Nvidia H200, Quanta AI Server, Q3 Mass Production
**News Content:**
Title: Nvidia H200 Chip Fuels Quanta’s AI Server Boom in Q3 Mass Production
Nvidia, a renowned global chipmaker, is set to introduce its latest high-end product, the H200 chip, to the market in the second quarter, sparking a fierce competition among the top four cloud service providers. Designed to cater to the escalating demand for AI computations, the innovative chip has caught the attention of the industry.
Sources from the supply chain reveal that Taiwan’s electronics giant, Quanta Computer, is currently manufacturing AI servers equipped with the H200 chip. These are anticipated to undergo final testing in the third quarter before entering mass production.
Adhering to its policy of maintaining silence on specific customer orders, Quanta has not disclosed details. However, industry insiders suggest that the scale of this H200 chip-based AI server production is substantial, with initial order quantities expected to exceed hundreds of racks. Notably, the per-unit shipment value of these servers is reported to be three to four times that of conventional server racks, highlighting their superior performance and value.
This development signals another significant leap in global AI computing capabilities,预告着云计算和人工智能领域将迎来更强大的硬件支撑. The collaboration between Nvidia’s H200 chip and Quanta’s AI servers promises to offer more efficient and powerful computing solutions to global data centers and enterprise users, further accelerating the broad adoption of AI technologies across industries.
【来源】https://www.cls.cn/detail/1606714
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