Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...
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 ...
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 ...
CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...
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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 ...
After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.
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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