Why are GPUs essential for AI training?
GPUs turned neural nets from theory into reality.
How It Works:
GPUs execute thousands of parallel matrix operations, dramatically speeding up the heavy linear algebra at the core of neural network training.
Key Benefits:
- Speed: 10-100? faster than CPUs for deep learning.
- Throughput: Handles large batch sizes with ease.
- Flexibility: Supports many ML frameworks natively.
Real-World Use Cases:
- Image model training: Cut training from days to hours.
- Reinforcement learning: Run multiple environment simulations in parallel.
FAQs
Can CPUs replace GPUs?
Which GPU is best?
.png)
.svg)
