How Quantum Could Transform AI – CloudTweaks
If you ask an AI engineer what the biggest barrier to continued AI technology advancement is, you’ll likely hear about computing power. Practices like enhancing model design and improving the quality of data ingested by AI tools might be factors too. But at the end of the day, compute resources remain the greatest constraint on businesses’ ability to build better models at a faster pace, and improve the speed and accuracy of inference.
To date, the standard approach to addressing AI’s need for compute has been to toss more computing hardware (especially GPUs) at AI models. But those devices are costly and in limited supply, making it unclear to what extent AI can continue to scale.
There is, however, another way to supply AI with the computing powerit desperately needs: Quantum devices. Indeed, businesses planning for AI success over the medium and long-term should be thinking about how the...
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