The AI hardware race is shifting from training giant models to serving them efficiently. Here is how GPUs, specialized accelerators, memory systems, and rack-scale architectures are competing for inference workloads.
Google’s $12.2 billion AI chip commitment signals a decisive shift toward custom silicon, challenging NVIDIA on cost, efficiency, supply, and scale.
From AI processors to breakthrough batteries and next-gen displays, these laptop innovations are set to transform productivity, mobility, and collaboration.
Smartphone prices keep climbing because the cost of advanced chips, AI-ready hardware, and global supply chains is rising fast. Here’s the real breakdown.