AI Chip
A specialized processor designed specifically for AI workloads, optimized for the matrix operations and parallel computation that neural networks require.
Major AI Chips
NVIDIA H100/B200: Dominant GPU for AI training. Google TPU v5: Custom ASIC for TensorFlow/JAX. AMD MI300X: Competing GPU. AWS Trainium/Inferentia: Cloud-optimized chips. Apple Neural Engine: On-device inference.
Why Specialized?
AI workloads are dominated by matrix multiplication and convolutions. Dedicated hardware can perform these operations 10-100x more efficiently than general-purpose CPUs by using specialized compute units, high-bandwidth memory, and optimized interconnects.