Deep Learning Chips : Accelerating change
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Deep Learning Chips are specialised hardware designed to accelerate the training and inference of deep neural networks . These chips are essential for enabling AI applications like deep learning , neural networks and machine learning to exist . Recent advancements include Intel ' s Deep Learning Boost ( VNNI ), which accelerates AI inference ; greatly improving performance for deep learning workloads . The Gaussian Neural Accelerator 2.0 ( GNA 2.0 ) runs AI workloads on an accelerator so that background noise is better suppressed and video background more efficiently . Deep learning chips are also dramatically more costeffective than state-of-the-art CPUs as a result of their greater efficiency for AI algorithms . An AI chip a thousand times as efficient as a CPU provides an improvement equivalent to 26 years of Moore ’ s Law-driven CPU improvements .
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