The first impulse of many artificial intelligence (AI) and machine learning (ML) model builders and application developers, says Dell Technologies, is to turn to easy-to-consume public cloud services, but there may be cost issues and integration challenges with existing systems and data.
Additionally, it adds, the rise of large language models such as ChatGPT and Bard necessitates increased compute power and big data sets for AI/ML training. “This raises cost and privacy concerns – driving even more businesses to own their AI/ML operations and management.
“But when organizations build a private cloud to address these concerns, they often find they have a shortage of cloud skills to drive solutions at the speed they need.”
To combat these and other challenges, the company recently announced three new managed services: more here