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AI Workloads and Hardware Accelerators - Introducing the Google Cloud AI Hypercomputer

Tech Field Day via YouTube

Overview

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Learn about Google Cloud's AI infrastructure and hardware acceleration capabilities in this comprehensive tech presentation from Cloud Field Day 20. Explore how Google Cloud's AI Hypercomputer platform supports complex AI workloads through advanced hardware accelerators, efficient resource management, and scalable solutions. Discover the platform's key features including TPUs, GPUs, dynamic workload scheduling, and GKE integration for optimized AI operations. Gain insights into Google Cloud's extensive AI experience, global infrastructure spanning 37 regions, and commitment to renewable energy. Master the technical aspects of running AI workloads on Google Cloud, from training to inference, while understanding how features like rapid node startup and GPU sharing can improve performance and reduce costs. Delve into Google's open and comprehensive technology stack that supports both proprietary and third-party AI models, backed by over a decade of research and innovations like the Transformer model.

Syllabus

AI Workloads and Hardware Accelerators - Introducing the Google Cloud AI Hypercomputer

Taught by

Tech Field Day

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