Forbes June 17, 2024
Sven Oehme, Chief Technology Officer (CTO) at DDN, drives innovation across both current and future products.
Companies are spending tens of millions of dollars to train AI systems to improve their businesses or create new offerings. Once created, it can cost millions more to transfer that trained model between their data centers and cloud environments for further testing and validation. As AI initiatives go mainstream, businesses are grappling with a thorny infrastructure question: How should we deploy these compute-hungry models?
“Cloud first” and “cloud only” are increasingly common strategies for enterprise IT, yet organizations looking to train large language models (LLMs), computer vision models, recommendation systems and other large-scale AI applications are encountering constraints with certain cloud implementations. Simplicity, scale...
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