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The likes ofChatGPThave spawned new use cases that are upending entire industries.
Many things are happening at once that are giving companies options as well as dilemmas.
However,cloud computinginfrastructure as we know it needs to evolve to keep pace with growing demand.
Until now, cloud infrastructure did not need the number of specialized chips and GPUs that AI now requires.
Senior Director, Global Digital Innovation Marketing and Strategy at Hitachi Vantara.
Very few companies are or can be Makers, meaning they create their own LLMs or generative AI.
Should businesses look on premise?
On the other hand, cloud-based solutions often provide better accessibility and collaboration capabilities.
On-premise solutions may offer less flexibility in this regard.
What steps should a company take to roll out generative AI effectively?
Businesses also need to think long and short.
Reassess and repeat until youre happy with the solution youve rolled out.
Theres no one-size-fits-all solution for deploying generative AI both in the cloud or elsewhere.
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