Why does Cerebras's wafer-scale engine process AI workloads faster than standard GPUs?

AI inference is dominated by moving weights from memory to compute. By building a dinner-plate-sized chip stuffed with fast SRAM instead of HBM, we keep the weights directly on the silicon. This allows us to move data to compute two thousand five hundred times faster than a GPU.