Which of the following computing resources are part of the Da Vinci architecture?

The Da Vinci architecture is a key component of Huawei's AI capabilities, specifically designed to optimize computing resources for machine learning tasks. Within this architecture, the combination of computing resources tailored for efficient processing of different data types plays a crucial role.

The cube unit, scalar unit, and vector unit encompass a diverse set of functionalities. The scalar unit specializes in handling single data elements, making it essential for tasks that require high precision in numerical computations. The vector unit is designed for operations on vectors, facilitating parallel processing and enhancing performance in data-intensive applications. Lastly, the cube unit is structured to enable the management and processing of multidimensional data, which is increasingly common in AI workloads.

This combination allows the Da Vinci architecture to efficiently tackle a wide range of AI workloads, from simple arithmetic operations to complex neural network computations, thereby maximizing overall performance and resource utilization.