Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...

New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

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 ...

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 ...

The rapid advancement of artificial intelligence — particularly the training of large-scale models that are used to power many of today’s widely used applications — is driving renewed growth in ...

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 ...

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 ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...