Balancing AI Costs And Performance: Strategies For Running LLMs In Financial Services

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However, institutions can also elect to utilize a hybrid cloud strategy, which combines on-prem for high-frequency workloads and cloud for burst compute needs to ensure cost efficiency.3.

Unlike traditional machine learning models, LLMs require massive computational resources, leading to high infrastructure costs, latency issues and concerns over return on investment (ROI).

However, financial institutions are grappling with a major challenge: The cost of running these AI models at scale.

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Category: StartupsTechnology

Markets: United States

Topics: Innovation /innovation Technology Standard

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Published On: 2025-03-17 @ 07:30:00 (21 hours ago)

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News Source URL: forbes.com

Language: English

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Reading Time: 5 minutes read

Sentences: 39 lines

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Copyright Owner: © Forbes

News ID: 27081465

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