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A4.1 Machine learning fundamentalsA4.1.2

Hardware requirements for various machine learning scenarios

Describe the hardware requirements for various scenarios where machine learning is deployed

SL + HL≈ 50 minCommand term: DescribePremium

In this lesson

  • Describing the processing, memory, storage and scalability needs of training and of running (inference) machine learning models
  • Describing hardware from standard laptops to GPUs, TPUs, ASICs, FPGAs, edge devices, cloud platforms and HPC centres
  • Choosing and justifying hardware for a given machine learning scenario

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What's inside

  1. LearnWhat machine learning asks of hardware
  2. LearnFrom laptops to data centres
  3. LearnSpecialised hardware
  4. LabMatch the hardware to the job
  5. CheckQuick check
  6. ExamWorked exam answer
  7. ReviewMistakes examiners see
  8. Exam practiceExam-style questions

Ends with 4 exam-style questions worth 12 marks, with a self-marking markscheme.