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 ...

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 ...

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 ...

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 ...

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 ...

PALO ALTO, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- Broadcom Inc. (AVGO), a global leader in semiconductor and infrastructure software solutions, today announced it is now shipping the Jericho4 ...

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 ...

AI models are trained on massive amounts of data. But that training doesn’t do much good without what’s known as “reinforcement learning,” a process that involves human experts teaching models the ...

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 ...

Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...