On Premises Vs. Cloud: AI Deployment's Journey From Cloud Nine To Ground Control
DDN News, Friday, August 16th, 2024
Businesses are increasingly investing tens of millions of dollars in training advanced AI applications, particularly large language models (LLMs) and generative AI, to improve operations and create new products.
Yet, the costs continue to climb as companies move these models between data centers and cloud environments for testing and validation. As AI becomes more mainstream, a pressing question emerges: How should we manage the resource-intensive training requirements of these models?
Our CTO, Sven Oehme, recently wrote an article on Forbes discussing deployment choices and his thoughts are summarized here.