For various financial product risk management, customer and sales process management, and other business scenarios, based on computer vision models and natural language processing models, StreamComputing provides financial users with timely, convenient, and user-friendly service experiences by improving computing power, reducing latency, and enhancing decision-making efficiency and productivity. This helps increase productivity, reduce operating costs, and achieve the vision of intelligent finance and lean efficiency.
Optical Character Recognition
Instruction sets and processor architectures are specifically customized for deep learning and artificial intelligence applications.
The core computations that accelerate artificial intelligence：convolution and matrix multiplication
High-density computing and parallel storage greatly enhance processing efficiency.
Supporting FP16 vector matrix operations and INT8 quantization operations.