Definition
CPUs (Central Processing Units) are general-purpose processors designed for a wide range of tasks, while GPUs (Graphics Processing Units) are specialised processors designed for parallel computation, making them highly efficient for matrix operations crucial in ML and AI.
Why it matters (in Poovi’s context)
Understanding the difference is vital for data scientists, especially when training models. GPUs are significantly more powerful than CPUs for ML tasks due to their parallel processing capabilities.
Key properties or components
- Parallel processing (GPU)
- Sequential processing (CPU)
- Matrix operations (GPU)
- General-purpose computing (CPU)
- Specialised computing (GPU)
Contradictions or debates
None.