OpenAI signed a MoU with NEXTDC to collaborate on a next-generation hyperscale AI campus and large GPU supercluster In sum – what to know: OpenAI launches its first APAC country …
AI
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According to CEO Matt Garman, AWS is focused on helping organizations “run their largest and most demanding applications” In sum – what to know: Enterprise AI adoption is accelerating – …
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In sum – what to know: Meta explores a major TPU shift – Talks with Google could see Meta rent TPUs in 2026, signaling a meaningful move to diversify beyond …
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Alex Cordovil, research director at Dell’Oro, told RCR Wireless News that there has been a complete overhaul of data center design The data center industry is experiencing one of the …
- Signal and Noise
Turning AI into a cohesive system with data center networking
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Sean Kinney by
Sean Kinney As the multi-trillion dollar AI infrastructure investment supercycle continues, hyperscalers, neoclouds and other stakeholders are taking an all-of-the-above approach. This means GPUs, TPUs, NPUs and all other manner of rack-scale …
- 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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As enterprises scale AI workloads, the underlying fiber network becomes a critical enabler – not just to move data, but doing so smartly and reliably. The second part of our …
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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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AI workloads are changing the way fiber networks are being designed, deployed, and upgraded; they also change how we should assess them. No longer just about reach and speed, connectivity …
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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 …