whitepaper_icon
Whitepaper

Learning Infrastructure Part 4: Serving and Scaling

Do not overspend on compute trying to get your machine learning program off the ground. Overcoming serving and scaling challenges up front will set your data science teams up to meet the unique demands of a mature machine learning program.

Use this whitepaper to:

Machine Learning Infrastructure Part 4: Serving and Scaling

Do not overspend on compute trying to get your machine learning program off the ground. Overcoming serving and scaling challenges up front will set your data science teams up to meet the unique demands of a mature machine learning program.

ML_Infrastructure_4

Use this whitepaper to:

  • Determine which type of infrastructure will keep costs low; software and hardware considerations for machine learning are distinct from traditional software development workflows
  • Ensure that the resources your data science and DevOps teams need for your machine learning use cases arrive just in time, every time
  • Understand the merits of serverless microservices and what model pipelining can do to free up high-value resources