Kernel fusion

Combining multiple GPU operations into a single custom kernel (e.g. FlashAttention-style attention) to cut memory traffic and speed up inference without changing the model.

grounded in: Latest AI/tech trend theme: 'Teams are actively swapping models and kernels to cut spend and speed up inference in production.'

Connected concepts

Memory-bandwidth-bound decode, KV Cache, PagedAttention, Inference economics, Quantization