#hyperscalers

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#cloud-computing
Tech industry
fromCloud Pro
5 months ago

Cloud spending projected to grow 19% this year on back of strong 2024

Cloud spending is predicted to grow 19% in 2025.
AI adoption is driving the increase in cloud spending.
AWS leads the market, followed by Microsoft and Google.
fromwww.itpro.com
11 months ago
DevOps

Putting the channel at the heart of the cloud marketplace economy

Cloud hyperscalers like AWS, Google, and Microsoft have reshaped the IT infrastructure landscape, driving unprecedented growth and efficiency through cloud marketplaces.
European startups
fromInfoWorld
3 months ago

Breaking the cloud monopoly

Enterprises are moving away from hyperscalers as they seek more control over data and cost management, diversifying platforms for AI applications.
European startups
fromTheregister
3 months ago

Europe's cloud customers eyeing exit from US hyperscalers

European customers are increasingly considering alternatives to US hyperscalers due to geopolitical concerns and shifting attitudes towards data sovereignty.
Tech industry
fromCloud Pro
5 months ago

Cloud spending projected to grow 19% this year on back of strong 2024

Cloud spending is predicted to grow 19% in 2025.
AI adoption is driving the increase in cloud spending.
AWS leads the market, followed by Microsoft and Google.
fromInfoWorld
3 weeks ago

Sovereign clouds in the age of cost control and AI

Sovereign clouds offer a viable alternative for enterprises seeking control, cost transparency, and efficiency without relying on hyperscalers.
fromTheregister
1 month ago

Germany asks if US hyperscalers hold keys to AI kingdom

Three American hyperscalers dominate AI by controlling essential compute infrastructure and data access, raising concerns about competition in the market.
Artificial intelligence
fromIT Pro
1 month ago

Global cloud spending might be booming, but AWS is trailing Microsoft and Google

Cloud infrastructure spending surged to $90.9 billion in Q1 2025, fueled by AI adoption.
Hyperscalers are investing in AI infrastructure to optimize costs related to inference.
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