AI Proving GroundAI SolutionsATCPrimary StorageAI & DataData Center
Learning path

High Performance Storage for AI

Skill Level
Fundamentals
Duration 40m
Updated May 15, 2024

About this learning path

Explore the critical role of high-performance storage in AI infrastructure. Gain insights into storage requirements for AI/ML workloads, architectures like distributed file systems and all-flash arrays, and strategies to optimize storage for model training and inference. Stay ahead with emerging trends shaping the future of AI storage solutions.

Your instructors

Bryan PeroutkaWorld Wide TechnologyTech Solutions Arch II, ATC
Ryan AveryWorld Wide TechnologyTechnical Solution Architect
Kendall AhernWorld Wide TechnologySolutions Development Intern

Prerequisites

  1. Passion for Learning
  2. Basic understanding of AI/machine learning concepts and applications
  3. Familiarity with data storage fundamentals (file systems, block storage, etc.)
  4. Knowledge of computing infrastructure components (servers, networks, etc.)

What you'll learn

  1. Understand the evolution of storage technologies in AI infrastructure
  2. Identify unique storage requirements for AI/ML workloads like model training and inference
  3. Compare different high-performance storage architectures like distributed file systems, object storage, all-flash arrays, etc.
  4. Determine suitable storage architectures for specific AI use cases
Learning path
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High Performance Storage for AI
  1. 1. Introduction to High-Performance Storage
    1. Enroll in this learning path to view locked contentFrom Tapes to Terabytes: The Journey of Storage Technologies in AI Infrastructure
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    2. Enroll in this learning path to view locked contentFundamentals for High-Performance Storage
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  2. 2. AI Storage Requirements
    1. Enroll in this learning path to view locked contentUnderstanding the Typical AI/ML Storage Workload: A Focus on Data Characteristics
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    2. Enroll in this learning path to view locked contentOptimizing Storage for AI Workflows: Training for Speed, Inference for Precision
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  3. 3. Storage Architectures for AI
    1. Enroll in this learning path to view locked contentArchitecting Storage for AI – Strategies and Approaches to Consider
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    2. Enroll in this learning path to view locked contentParallel File Systems vs Traditional File Systems
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  4. 4. Conclusion
    1. Enroll in this learning path to view locked contentQuiz
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    2. Enroll in this learning path to view locked contentLearning Path Complete
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