New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...
Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to ...
DeepSeek debuted Manifold-Constrained Hyper-Connections, or mHCs. They offer a way to scale LLMs without incurring huge costs. The company postponed the release of its R2 model in mid-2025. Just ...
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From centralised data centers to decentralised AI training: Why algorithms are changing who ...
For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...
In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...
After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.
AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...
In Atlanta, Microsoft has flipped the switch on a new class of datacenter – one that doesn’t stand alone but joins a dedicated network of sites functioning as an AI superfactory to accelerate AI ...
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