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Google Cloud AI Infrastructure

school 활동 3개
update 최종 업데이트: 21일
person 관리: Google Cloud
This learning path, designed for intermediate to advanced technical learners, offers on-demand courses to specialize in AI Infrastructure on Google Cloud. You'll gain the knowledge and skills to design and deploy high-performance AI/ML solutions using Google Cloud's AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine. Optimize every layer of your AI Infrastructure solutions, from storage and networking to orchestration and best practices, to redefine what's possible with Google AI Infrastructure.
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AI Infrastructure: Introduction to AI Hypercomputer 활동 썸네일
01 AI Infrastructure: Introduction to AI Hypercomputer
book 과정
access_time 1시간
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Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs,...

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AI Infrastructure: Cloud GPUs 활동 썸네일
02 AI Infrastructure: Cloud GPUs
book 과정
access_time 1시간
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Curious about the powerful hardware behind AI? This course breaks down performance-optimized AI computers, showing you why they're so important. We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI...

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AI Infrastructure: Cloud TPUs 활동 썸네일
03 AI Infrastructure: Cloud TPUs
book 과정
access_time 1시간
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Welcome to the Cloud TPUs course. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI...

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