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实例探究 > ASML:利用 Google Cloud AI 和机器学习改变半导体制造

ASML: Accelerating Microchip Manufacturing with Google Cloud AI and Machine Learning

技术
  • 分析与建模 - 机器学习
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 教育
  • 设备与机械
用例
  • 预测性维护
  • 篡改检测
服务
  • 云规划/设计/实施服务
  • 培训
挑战
ASML 是一家领先的光刻系统制造商,需要提高工程速度、增强安全性、加快上市时间并增强竞争优势。
关于客户
ASML 是一家为半导体行业制造光刻系统的荷兰公司,为英特尔、三星和台积电等全球芯片制造商提供服务。
解决方案
ASML 与 Google Cloud、Rackspace 和 ML6 合作实施云环境并利用人工智能和机器学习功能。
运营影响
  • The transition to Google Cloud has been transformative for ASML. The company has seen significant improvements in engineering speed, security, time to market, and competitive advantage. The move has also inspired data scientists with open-ended Google Cloud collaboration and DevOps with Cloud Build and Kubernetes architecture. ASML has been able to make a powerful case to clients about Google Cloud security advantages through its own example. The company is now exploring ways to be a beta tester for the Google Brain Team deep learning initiative, further strengthening its partnership with Google Cloud.

数量效益
  • Shortened product release cycles from monthly to biweekly

  • Saved four hours per day in data querying by ending the need for data parsing and preprocessing

  • Reduced encryption, build, and test time from hours to just 10 minutes

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