FEATURE: CLOUD SOLUTIONS to safeguard training data. Unsurprisingly, companies do not want valuable, corporate data floating around inside a public AI model.
Beyond AI performance, if cost was a driving force behind the move to public cloud years ago, then it is also a huge factor back to private cloud today. This is because private cloud offers predictability of cost. It is quite challenging to predict the cost of AI compute on public clouds – in addition to the cost of training a model, there is a potentially endless money sink in the form of paying for usage fees.
Alternatively, private clouds provide more predictability because the infrastructure is dedicated.
AI HOLDS A TANTALISING PROMISE
OF IMMENSE PRODUCTIVITY GAINS, BUT THESE
ADVANCEMENTS ALSO
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COME WITH IMPORTANT CONSIDERATIONS ON HOW
IT SHOULD BE APPLIED.
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