New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...
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Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF
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 ...
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...
Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to ...
A quiet shift in the foundations of artificial intelligence (AI) may be underway, and it is not happening in a hyperscale data center. 0G Labs, the first decentralized AI protocol (AIP), in ...
Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
RALEIGH, N.C. – Oct. 14, 2025 – Red Hat today announced Red Hat AI 3 as part of its enterprise AI platform. Bringing together the latest developments of Red Hat AI Inference Server, Red Hat Enterprise ...
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 ...
Along with Microsoft (projected to reach around $145 billion), these hyperscalers are pledging nearly $700 billion in a frenzied effort to establish ...
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