The emergence of a service that can implement high-performance LLM without replacing hardware on low specifications is expected to be advantageous for securing cost efficiency and technological competitiveness for companies seeking to utilize LLM.

Nota (CEO Myung-soo Chae), a company specializing in AI optimization and lightweight technology, officially launched its 'LLM Optimization Service' on the 25th, which enables stable implementation of large-scale language models (LLM) even on low-spec devices.

This service is attracting attention because it is designed to quickly infer the latest LLM and vision-language model (VLM) while utilizing existing hardware, which can significantly reduce the burden of infrastructure investment for companies.

Nota's LLM optimization service is characterized by providing fast inference speed while maintaining high performance regardless of device specifications.

Optimization is possible not only in cloud environments but also in on-device environments, allowing the application of the latest generative AI technology even in industries where hardware replacement is difficult, such as home appliances and mobility.

In particular, this service provides the following benefits: compatibility with various chipsets, overcoming the difficulty of optimizing models with complex parameters, improving memory and computational efficiency through model weight reduction, reducing device power consumption, and reducing cloud operating costs.

This allows enterprises to simultaneously achieve fast inference speed and high LLM performance. there is.

Nota emphasized that it is cost-effective because it can utilize existing hardware as is, and it is also advantageous in securing technological competitiveness because it can apply the latest LLM without separate infrastructure investment.

CEO Chae Myeong-su said, “This service was developed based on Nota’s experience optimizing various AI models for actual hardware,” and added, “Customers can reduce cost burden and provide an improved user experience by stably applying the latest language models without replacing hardware.”

To celebrate the launch of its service, Nota is offering a free consulting event on its website. Companies interested in LLM optimization services can inquire and apply through Nota's official website.

Meanwhile, Nota was selected as an elite team for the government-led "National AI Representative (Independent AI Foundation Model Development Project)," earning national recognition for its technological prowess. With its securities report recently approved, Nota aims to be listed on the KOSDAQ within the year.

This service is expected to accelerate the popularization and industrial application of generative AI. Nota's optimization technology is expected to be a breakthrough for companies seeking to utilize LLM more efficiently.