
Cerebras Smashes AI Wide Open, Countering Hypocrites
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
A decade ago, waferscale architectures were dismissed as impractical. Five years ago, they were touted as a fringe possibility for AI/ML. …
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. …
What is that famous maxim in computer science about something that doubles on a regular cadence? …
The term “mainstream” in the context of the largest systems on the planet still only means a select few. …
The Edinburgh Parallel Computing Center (EPPC) is up and running with its Cerebras CS-1 waferscale system and is already working with European companies in biomedical and cybersecurity arenas in addition to its own research into different programming and AI models and projects in natural language processing and genome-wide association studies. …
Remember how, a few years ago, the chatter was that waferscale systems wouldn’t stand a chance? …
All Content Copyright The Next Platform