AI training costs are growing exponentially — IBM says quantum computing could be a solution

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The article discusses the exponential growth in AI training costs and the potential solutions to this issue. It highlights the impact of AI on power usage by data centers and the resulting increase in carbon dioxide emissions. The panel at VB Transform 2024, led by Hyunjun Park from CATALOG, delved into the challenges and solutions related to the rising costs of training AI models.

The discussion at the event included insights from industry experts such as Dr. Jamie Garcia from IBM, Paul Roberts from AWS, and Kirk Bresniker from Hewlett Packard Labs. Companies like AWS are taking steps towards sustainability by implementing solutions like liquid cooling and alternative fuels. The article also explores the potential of quantum computing in reducing resource consumption and speeding up AI processes.

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