Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...

One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid ...

Hands On Most GenAI models are trained and run in massive datacenter clusters, but the ability to build, test, and prototype AI systems locally is no less relevant today. Until recently, this required ...