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Higher prices for components like RAM chips are pushing up the overall costs of new computers.
The latest IDC numbers reveal healthy shipment rise in Q4 2025, but the situation could look vastly different in 12 months time.
Nvidia pulls ahead of its competitors.
The move highlights how expanding enterprise robotics deployments are forcing CIOs to rethink where AI systems run.
This non-acquisition could help Nvidia diversify its supply chains and address new markets, while limiting antitrust scrutiny.
Taking advantage of the best business platforms
The company's traditional approach to memory optimization should now be seen as yet another advantage over rival platforms.
As AI becomes more like a recurring utility expense, IT decision-makers need to keep an eye on enterprise spending. The costs of GPU use in data centers could track with overall costs for AI.
Apple's silicon chief, Johny Srouji, may quit the company. Following a week of significant leadership changes, the news creates the impression of a crisis at the top of the company.
AI PCs feature integrated processors, accelerators and software specifically designed to handle complex AI workloads. While they also incorporate GPUs and CPUs, AI PCs contain a critical third engine: a neural processing unit (NPU).
The demands of AI tools are forcing Apple and other hardware makers to boost RAM capacities. That could make Apple more attractive than 'cheaper' PCs.
The company's stock continues to rally on the Nasdaq stock exchange.
The company envisions the addition of generative AI in robotics, machines, autonomous vehicles, and physical devices.
Though much of the current hype around ‘AI PCs’ is marketing, building blocks are being put in place that could make future computers much more powerful and useful.