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AI Accelerators

[eɪ aɪ əkˈsɛləreɪtərz]
AI Infrastructure
Last updated: December 9, 2024

Definition

Specialized hardware designed to accelerate artificial intelligence applications, particularly deep learning.

Detailed Explanation

AI accelerators are hardware architectures specifically designed to efficiently process AI and machine learning workloads. They typically optimize for matrix multiplication, convolution operations, and other common AI computations. These can include various technologies like ASICs, FPGAs, and specialized processor designs with features like reduced precision arithmetic and optimized memory hierarchies.

Use Cases

Deep learning inference, neural network training, computer vision applications, natural language processing, real-time AI applications

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