AI features don’t run on their own. Behind them are NPUs, GPUs, processors, memory, and specialized accelerators built to handle increasingly demanding AI workloads.
AI Hardware looks at the technology powering on-device AI, how different hardware approaches work, and what specifications like TOPS actually tell us — and what they don’t.
What You’ll Find Here
- NPUs, GPUs, and AI accelerators
- AI chips and processor architecture
- TOPS and AI performance metrics
- Memory, power, and local AI workloads
- Hardware comparisons and technical explainers
Latest AI Hardware
Explore our latest explainers, comparisons, and analysis of the hardware behind modern AI devices.
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Why Edge AI Chips Use Integer Arithmetic
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Sparse vs Dense AI Models: Which Is Better for On-Device AI?
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Neuromorphic vs Traditional AI Chips: The Future of Wearable AI
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AI Model Loading Time on Devices: Hidden Bottleneck Explained
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