In Thailand, Microsoft has committed to invest more than $1 billion between 2026 and 2028 to build and expand cloud and AI data center infrastructure In sum – what to …
Cloud
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Alibaba is accelerating its focus on AI infrastructure and cloud services as a central growth pillar In sum – what to know: AI demand surge – Cloud revenue rose 35% …
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Bridge Data Center, backed by Bain Capital, said the investment will support the development of next-generation digital infrastructure in the Asian nation In sum – what to know: Major AI …
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The rapid growth of AI workloads has helped drive expansion among smaller cloud companies, particularly those specializing in GPU-based infrastructure, according to Synergy Research Group In sum – what to …
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The AWS initiative is backed by a €7.8 billion ($9.04 billion) investment, expected to contribute €17.2 billion to the European economy by 2040 In sum – what to know: Fully …
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Microsoft noted that a significant portion of the investment will go toward expanding hyperscale cloud and AI data center capacity In sum – what to know: Microsoft commits US$17.5B to …
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Cloud providers were the fastest-growing customer segment, increasing spending 58% year-over-year In sum — what to know: Cloud spending jumped 58% year-over-year – Hyperscalers drove the biggest share of Q3 …
- AI Infrastructure News
Bare metal cloud, edge computing, and carrier-neutral connectivity are the ‘next big thing,’ says Hivelocity CEO Jeremy Pease in an RCRTalks episode with executive editor Kelly Hill
In a discussion about inferencing it became clear that ‘getting AI out to end users’ at SMBs and enterprises requires rapid distribution of high-end CPUs or low-end GPUs at massive …
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The pair will enhance Airtel Cloud by combining Airtel’s telecom-grade platform with IBM’s AI-ready infrastructure and software In sum – what to know: IBM–Airtel alliance targets regulated sectors – The …
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The Industrial AI Cloud, powered by up to 10,000 Nvidia GPUs, will allow manufacturers, automakers, and robotics firms to deploy AI-driven digital twins, predictive maintenance, and large-scale simulation workloads In …