Apple's New Transformer Architecture Supercharges AI Inference Speed

Apple is revolutionizing the speed of **Inference** for **Transformer**-based **Large Language Models (LLMs)**! Their new architectural approach, the Parallel Track (PT) **Transformer**, promises to dramatically reduce inter-GPU synchronization. This is a game-changer for anyone working with resource-intensive AI models.

• •The Parallel Track (PT) **Transformer** aims to minimize cross-device dependencies.
• •The new architecture is designed to address the communication bottlenecks.
• •This innovation could lead to faster and more efficient **Inference** on GPUs.