AI Inference System for AI/Machine Learning Acceleration

The ability to simulate human intelligence such as to reason, goal setting, understanding and generating language, and perception and response to sensory inputs, have become benchmarks to evaluate the progress of AI. And with a series of logical rules being derived from various learning models, we are constantly creating an updated knowledge base for AI. We need devices, called “Inference Systems”, to apply that logic for different tasks.

There are many deep learning methods that focus on AI training, including large-scale machine learning, deep learning, reinforcement learning, and natural language processing. All these deep learning methods advance the possibilities of applying intelligent solutions to the real-world problems around us.