When you are competing against the hyperscalers and cloud builders in the AI revolution, you need backers as well as customers that have deep-pockets and that can not only think big, but pay big. …
It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads driving AI into the enterprise. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
Historically, the largest organizations in the world – the Global 2000 plus the biggest national government and academic research institutions – have always had the most complex data processing needs. …
All Content Copyright The Next Platform