LG Uplus Launches ixi-GEN AI Globally on AWS Bedrock

Intermediate | July 31, 2025

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LG Uplus Makes Global AI Leap

LG Uplus recently achieved a significant milestone, listing its unique small language model (sLLM), ixi-GEN, on Amazon Web Services (AWS) Bedrock. This strategic move makes LG Uplus the first Korean telecom company to provide an AI model through AWS globally. Companies and developers worldwide can now easily access LG Uplus ixi-GEN AWS Bedrock via the Amazon Bedrock Marketplace to develop innovative new AI services. Therefore, this listing marks a huge step for LG Uplus’s international presence.

LG Uplus ixi-GEN AWS Bedrock Joins the Global Stage?

ixi-GEN is an sLLM that LG Uplus developed, building upon LG AI Research’s powerful Exaone multimodal AI. Unlike larger language models, sLLMs like ixi-GEN use fewer parameters, allowing for faster fine-tuning and stronger performance in specific tasks or industries. The version of LG Uplus ixi-GEN AWS Bedrock now available excels particularly in financial applications because it underwent training with extensive financial data. Testing by LG Uplus showed this finance-focused ixi-GEN performs approximately 31% better in financial contexts compared to general-purpose AI models. Moreover, it maintains high accuracy, strong security, and effective content filtering. ixi-GEN ensures high security and provides reliable responses through secure data training. It can also be installed on local servers, which further reduces security risks. The model uses “clean data” from Exaone, minimizing copyright infringement issues and effectively filtering out harmful or inappropriate content.

Strategic Vision and Future

Driving Global AI Expansion

This listing directly supports LG Uplus’s ambitious global AI expansion plans. The company plans a substantial investment of up to 3 trillion won (approximately $2.15 billion) in its AI business by 2028. LG Uplus aims to become an “AI orchestration” company with a strong customer-centered approach. Its “All in AI” strategy focuses on several key areas, including AI data centers, on-device AI, AI platforms utilizing sLLMs, and AI-powered services for corporate clients. Ultimately, the company targets generating KRW 2 trillion (around $1.4 billion) in B2B AI revenue by 2028.

Expanding Reach and Security Focus

LG Uplus initially launched ixi-GEN as a telecom-specific AI model in June 2024, planning to integrate it into eight of its services before offering it to the broader B2B market. They also introduced the ixi Solution platform to make AI development more accessible. Furthermore, LG Uplus actively collaborates with global tech giants like Google for an AI-based home agent and Amazon Web Services for this current global AI expansion. The company consistently prioritizes AI-driven security, evidenced by efforts like its ixi-O AI agent, which offers AI call answering and real-time voice phishing detection. They also participated in the MWC 2025 Red Team Challenge to verify ixi-GEN’s reliability. Looking ahead, LG Uplus intends to enhance ixi-GEN’s capabilities and expand its application beyond finance and telecommunications into many other sectors.

Vocabulary

proprietary (adjective): Owned and controlled exclusively by one company.
Example: “Apple develops many proprietary technologies for its products.”
hyperscale (adjective): Extremely large in scale, typically referring to data centers or computing infrastructures designed to support very high demands.
Example: “Building a hyperscale data center requires massive investment and advanced technology.”
multimodal (adjective): Characterized by multiple modes, especially in AI where models can process different types of data like text, images, and audio.
Example: “The new AI system is multimodal, allowing it to understand both spoken commands and written requests.”
parameters (noun): Variables or settings that define a system or model; in AI, referring to the adjustable parts of a neural network.
Example: “Training larger AI models often involves adjusting billions of parameters.”
fine-tuning (noun): The process of taking a pre-trained model and further training it on a smaller, specific dataset to adapt it for a particular task.
Example: “Fine-tuning a language model can make it much better at legal document analysis.”
optimized (adjective): Made as effective, perfect, or functional as possible.
Example: “This software is optimized for faster performance on modern computers.”
enterprise-grade (adjective): Designed to meet the high standards of security, reliability, and scalability required by large businesses.
Example: “Our new cloud service offers enterprise-grade security for all client data.”
orchestration (noun): The automated configuration, coordination, and management of computer systems, applications, and services.
Example: “Cloud orchestration simplifies the deployment and scaling of complex applications.”
democratize (verb): To make something available to everyone, rather than just a select few.
Example: “The internet helped to democratize access to information worldwide.”
telecommunications (noun): The transmission of information over long distances using technology, such as phones, radio, and the internet.
Example: “The telecommunications industry is constantly evolving with new technologies.”

Discussion Questions (About the Article)

What significant achievement did LG Uplus recently announce regarding its ixi-GEN AI model?
How does an sLLM like ixi-GEN differ from larger language models, and what are its advantages?
Which specific industry did LG Uplus optimize ixi-GEN for, and what results did their testing show?
What is LG Uplus’s “All in AI” strategy, and what financial goals does the company have for its AI business?
How does LG Uplus emphasize security with its AI models and services?

Discussion Questions (About the Topic)

How do you think making AI models more accessible through platforms like AWS Bedrock will impact businesses globally?
Do you believe sLLMs, optimized for specific tasks, will become more common than large, general-purpose AI models in the future? Why or why not?
What are some potential benefits and risks of integrating AI into financial applications?
In what other sectors or industries do you think AI models like ixi-GEN could be particularly useful?
How important is data security and content filtering when developing and deploying AI systems?

Related Idiom

Break new ground
Meaning: To do something that has not been done before; to make a new discovery or achieve something innovative.
Example: “LG Uplus is breaking new ground by becoming the first Korean telecom to offer an AI model globally via AWS Bedrock.”

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This article was inspired by: Pulse by Maeil Business, July 23, 2025.