What is it?
AI chips, also known as AI accelerators or AI processors, are specialized computer chips designed to efficiently perform the complex mathematical computations required for artificial intelligence (AI) and machine learning (ML) tasks. These chips are optimized for the parallel processing of large amounts of data, enabling faster and more efficient AI computations compared to traditional CPUs.
Why is it important?
AI chips can greatly accelerate the training and inference of AI models, reducing the time and computational resources required. AI chips are designed to perform AI tasks with high energy efficiency, which is crucial for applications in edge devices and data centers. By improving performance and energy efficiency, AI chips can help reduce the overall cost of AI deployments. The increased computational power and efficiency provided by AI chips can enable new and more sophisticated AI applications across various industries.
What industries will it impact?
Consumer electronics, Automotive, Healthcare, Finance, Cloud computing, Robotics.
Market players
AMD, Astrus, Celestial AI, Cerebras, d-Matrix, DEEPX, EdgeCortix® Inc., Etched.ai, Enfabrica, Enflame, Google, Horizon Robotics, IBM, Kneron, Lightmatter, Neuchips, Nvidia, Panmnesia, Rebellions, Samsung.