Technology and operation · Question 31 of 60
Which hardware features typically benefit ML?
3 answers are correct. Medium
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Answer
- A Massively parallel processing, for example for matrix multiplication
- B Low-precision arithmetic (quantization)
- D The ability to work with large data structures
Explanation
ML benefits from hardware that can handle large data structures, computes in a massively parallel way and works with low precision. High precision and few, fast-clocked cores are typical of CPUs, which is why they are less efficient for ML than GPUs.