From stuck to scaled: How hyper-parallel AI training cuts iteration cycles 20X

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
Opinion
The Register on MSNOpinion

Sorry, but DeepSeek didn’t really train its flagship model for $294,000

Training costs detailed in R1 training report don't include 2.79 million GPU hours that laid its foundation Chinese AI darling DeepSeek's now infamous R1 research report was published in the Journal ...
Quanta Magazine

To Understand AI, Watch How It Evolves

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...
GeekWire

Ai2’s new Tulu 3 model rivals tech giants in breakthrough for open-source AI post-training

The Allen Institute for AI (Ai2) is releasing a new set of open-source AI models and related resources in an effort to shine a light on a critical but previously mysterious corner of the artificial ...

China's Alibaba challenges U.S. tech giants with open source Qwen3-Omni AI model accepting text, audio, image and video

Qwen3-Omni is available now on Hugging Face, Github, and via Alibaba's API as a faster "Flash" variant.

Unsloth : The Secret Weapon for Faster Machine Learning Models

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
ZDNet

Beware of AI 'model collapse': How training on synthetic data pollutes the next generation

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...
SiliconANGLE

AI model training rekindles interest in on-premises infrastructure

Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...