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

Quick Summary:

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.

---

More Pictures

---

Read Quick SummarySave Time

or

Article Details

Category: StartupsTechnology

Markets: United States

Topics: Standard Technology Innovation /innovation

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2025-03-17 @ 07:30:00 (19 hours ago)

News Timezone: GMT -5:00

News Source URL: forbes.com

Language: English

Article Length: 827 words

Reading Time: 5 minutes read

Sentences: 39 lines

Sentence Length: 22 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Forbes

News ID: 27081465

View Article Analysis

About Forbes

Main Topics: StartupsTechnology

Official Website: forbes.com

Update Frequency: 68 posts per day

Year Established: 1917

Headquarters: United States

News Last Updated: 12 hours ago

Coverage Areas: United States

Ownership: Independent Company

Publication Timezone: GMT -5:00

Content Availability: Worldwide

News Language: English

RSS Feed: Available (XML)

API Access: Available (JSON, REST)

Website Security: Secure (HTTPS)

Publisher ID: #40

Publisher Details

Frequently Asked Questions