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1
Intro
2
Overview
3
Applications
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Core Responsibilities
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Our Strategy
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Performance Optimized Infrastructure
7
TPU V5P
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Nvidia GPUs
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Open source software
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Storage
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Block storage
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Networking
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Dynamic workload scheduler
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Salesforce
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Workload optimized systems
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Storage optimized systems
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Google Axion
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Google Cloud Storage
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Gemini Cloud Assist
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Demo
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Wrapup
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how to build and run AI workloads at scale while optimizing enterprise and cloud native applications in this 48-minute conference talk from Google Cloud Next 2024. Explore the latest innovations in supercomputing architecture, including AI Hypercomputer, TPUs, and GPUs. Learn about workload-optimized infrastructure best practices across compute, networking, and storage. Gain insights into increasing productivity and efficiency with AI-powered assistance using Gemini for Google Cloud. Hear from industry experts about real-world applications, performance optimization techniques, and the benefits of purpose-built infrastructure for various workloads. Dive into topics such as TPU V5, Nvidia GPUs, open-source software, block storage, dynamic workload scheduling, and Google Cloud Storage. Witness a demonstration of Gemini Cloud Assist and understand how it simplifies infrastructure operations.

Workload-Optimized and AI-Powered Infrastructure for Google Cloud

Google Cloud Tech
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