Artificial intelligence accelerators are specialized hardware or software solutions designed to enhance the performance and efficiency of AI applications. These accelerators are meant to accelerate the execution of AI tasks by optimizing the computational power required for complex AI algorithms. Hardware-based accelerators, such as graphical processing units (GPUs), field-programmable gate arrays (FPGAs), and tensor processing units (TPUs), are capable of parallel processing and specifically designed to handle large-scale compute-intensive AI workloads. Software-based accelerators, on the other hand, employ advanced algorithms and libraries to optimize AI code execution and speed up computation on existing hardware. AI accelerators play a crucial role in meeting the growing demands of AI-based applications by improving their processing capabilities and facilitating the rapid development and deployment of AI technologies.
This mind map was published on 5 December 2023 and has been viewed 104 times.