AI čip, or AI chip, refers to a specialized hardware component designed to accelerate artificial intelligence (AI) computations and tasks. These chips are optimized for processing large amounts of data efficiently, particularly for operations like machine learning, deep learning, and neural network operations.
AI chips can vary in architecture and design, including options like Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and field-programmable gate arrays (FPGAs). They are developed to handle the unique requirements of AI workloads, such as parallel processing and high throughput for matrix operations, which are fundamental in training and inference of AI models.
The use of AI chips has become critical in fields such as autonomous driving, natural language processing, computer vision, and robotics, enabling faster and more efficient processing of AI algorithms compared to traditional CPUs.
Čipy umělé inteligence od Nvidie revolucionalizují odvětví s nesrovnatelnou výpočetní silou. V automobilových inovacích tyto čipy zlepšují navigační systémy pro bezpečnější autonomní vozidla. Zdravotnictví těží z technologie Nvidie, která umožňuje…