What is a GPU for AI?
Definition
A GPU (Graphics Processing Unit) for AI refers to using graphics processors originally designed for gaming and video rendering to accelerate artificial intelligence and machine learning computations. GPUs excel at parallel processing - performing thousands of calculations simultaneously - making them dramatically faster than traditional CPUs for neural network training and inference.
Why GPUs for AI?
- Parallel Processing: Thousands of cores vs. CPU's dozens
- Matrix Operations: Native support for the matrix multiplications at the heart of neural networks
- Memory Bandwidth: Much higher throughput for moving data
- Cost Efficiency: 100x faster than CPU for ML tasks
Popular AI GPUs
NVIDIA H100
The gold standard for AI training. 80GB HBM3, ~$30,000
NVIDIA A100
Versatile data center GPU. 80GB, widely deployed
NVIDIA RTX 4090
Consumer GPU for local AI. 24GB, ~$1,600
Apple M3 Max
Integrated GPU for Mac-based ML development