GPU (Graphics Processing Unit) vs NPU (Neural Processing Unit)
Key Comparisons:
- Purpose: GPUs are general-purpose parallel processors; NPUs are specialized for AI/machine learning.
- Efficiency: NPUs consume much less power (single-digit watts) compared to GPUs, making them ideal for battery-operated devices
- Workload: GPUs excel at training AI models and rendering graphics; NPUs excel at inference (running models).
- Design: GPUs have thousands of small, programmable cores; NPUs feature optimized memory hierarchies and matrix multiplication units.
NPU’s are energy efficient and time deterministic!