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The scaling economics of large AI workloads have yet to find a ceiling that slows procurement.
Nvidia, the chip giant driving the current AI infrastructure cycle, has projected sales growth of around 70%, citing sustained AI demand, and has described financing deals extended to customers as excellent investments carrying limited risk.
The demand dynamic behind the projection runs across two phases, both drawing on the same hardware stack.
Model training requires dense, parallel compute over extended periods, and that requirement scales with model complexity.
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