👉 The Surface Project, initiated by Google in 2016, aims to develop a new type of computer architecture that significantly enhances performance and efficiency for machine learning tasks. Unlike traditional architectures that separate processing and memory, the Surface Project introduces a unified memory system where both are integrated into a single, high-bandwidth memory (HBM) array. This design allows for faster data access and reduced latency, crucial for the computationally intensive operations in AI. By bringing memory closer to the processing units, it minimizes data movement bottlenecks, leading to improved performance and energy efficiency, particularly beneficial for AI workloads that require rapid access to large datasets.
