AI Chips Overview: TPU, NPU, GPU, and FPGA

Machine learning accelerators are redefining AI infrastructure in 2025. From GPUs and TPUs to NPUs and photonic chips, the focus has shifted from raw power to smarter compute orchestration—balancing performance, memory, and efficiency across heterogeneous hardware systems.

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AI Chips: NPU vs. TPU

NPUs and TPUs Neural processing units (NPUs) and tensor processing units (TPUs) are specialized hardware accelerators that are designed to accelerate machine learning and artificial intelligence (AI) workloads. NPUs and TPUs are optimized for the mathematical operations that are commonly

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AI Chips: GPU, TPU, and NPU

The rapid growth in AI is having a big impact on the development and sale of specialized chips. Allied Market Research noted in the Artificial Intelligent Chip Market Outlook that AI chip sales are predicted to grow from $6.6B in

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