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The architecture of AI is different from all of the computing that came before it

The architecture of AI is different from all of the computing that came before it

AI is breaking open source out of its old habits. Compute-heavy models now demand GPU-first stacks, leaner infrastructure, and fresh rules for how we build and scale.

Jonathan Bryce points out: scalability and reliability still matter—but AI’s deployment needs throw the old architecture playbook out the window.

System shift: AI’s thirst for specialized hardware is reshaping how open source gets written, scaled, and steered.


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