KAYTUS, a leading provider of end-to-end AI and liquid cooling solutions, will be participating in the 'AI EXPO KOREA 2025 International Artificial Intelligence Exhibition' held at COEX from the 14th to the 16th, where it will showcase its AI DevOps software 'MotusAI' and its integrated 'AI DevOps solution'. KAYTUS's end-to-end AI DevOps solution integrates MotusAI and cluster systems to seamlessly support the entire cycle from AI model development to deployment.
Today, generative AI (GenAI) is rapidly evolving beyond the model learning stage to large-scale deployment and real-time inference stages. In particular, AI is being fully utilized in various industries such as autonomous vehicles, smart cities, quantitative finance, healthcare, and manufacturing, and is establishing itself as a key driving force for business innovation. However, companies still face significant technical barriers in the process of applying AI to actual business environments. Inefficient use of GPU resources, low resource scheduling efficiency, frequent application interruptions, slow data processing speed, and slow deployment are pointed out as major obstacles hindering the AI transition.
KTUS is providing an integrated infrastructure solution that fundamentally resolves the complexity of AI systems and supports AI applications to lead to real business results. At this year's 'AI EXPO KOREA 2025 International Artificial Intelligence Exhibition', 'MotusAI' and an integrated server solution for AI applications will be exhibited. Through MotusAI's live demo, you can directly see how one operator efficiently manages a complex AI cluster and deploys deep learning models and inference services in less than 5 minutes. In addition, visitors can directly experience key functions such as second-by-second deployment of the development environment, resource scheduling, and rapid model deployment.
In this way, K2US is presenting a comprehensive response plan for AI infrastructure tasks through MotusAI and its end-to-end 'AI DevOps' solution, helping companies integrate AI workflows more quickly and stably.
◆ K2US MotusAI, strengthening AI resource scheduling and task orchestration
KTUS MotusAI is an AI DevOps platform that dramatically improves efficiency, stability, and simplicity throughout the entire process from AI model development to deployment. It drastically reduces resource input, increases development efficiency, and raises cluster computing resource utilization to over 70%, while greatly improving the scheduling performance of large-scale learning tasks.
MotusAI improves resource efficiency through efficient GPU scheduling and workload orchestration. It provides advanced resource scheduling strategies including network affinity and GPU load scheduler to maximize utilization, and supports on-demand GPU resource allocation and precise GPU partitioning to increase resource utilization to over 70%. In addition, MotusAI improves throughput by 5x and reduces latency by 1/5th compared to community schedulers through efficient workload scheduling that can quickly launch hundreds of PODs and quickly configure environments.
MotusAI has high availability (HA) and disaster recovery functions for stable model operation. It applies HA architecture and components together and adopts a 3-node active-active structure to ensure high availability services, and microservices are called according to load balancing strategies to enhance platform stability. MotusAI can automatically transfer services in the event of service interruption through disaster recovery functions, and applications are restored within seconds. In addition, monitoring, operation, and maintenance can be easily performed through an integrated graphical user interface (GUI), reducing management burden and operating costs.
Additionally, MotusAI is designed to simplify the workflow of model training and inference processes.
- MotusAI is compatible with major deep learning frameworks such as PyTorch and TensorFlow, as well as distributed learning frameworks such as Megatron and DeepSpeed, and includes various development tools such as Jupyter Notebook, Webshell, and IDE. In addition, it enables fast model development through data transfer acceleration, and improves data learning efficiency by 2-3 times by shortening data latency and caching cycles through various strategies such as local loading of remote data and zero-copy data transfer.
- MotusAI also provides various functions to improve the efficiency of model inference. The low-code deployment function allows you to apply the model to the service with one click, and automatically expands resources even in situations where traffic suddenly increases, maintaining the average delay time within milliseconds even in a highly parallel inference environment where tens of thousands of requests occur simultaneously, and improving response efficiency by more than 50%.
◆ K2US AI DevOps Solution, Turnkey Infrastructure Supporting the Entire AI Cycle
MotusAI is a solution that focuses on stable and efficient AI cluster management and simplified AI workflow. K2US combines MotusAI with a cluster hardware platform to provide the 'KAYTUS AI DevOps Solution', an end-to-end AI infrastructure solution that covers the entire AI cycle from development to deployment and operation. This solution consists of a single platform that integrates computing, storage, orchestration, and automation functions, eliminating infrastructure bottlenecks and maximizing the efficiency of AI workflows. It is characterized by its goal of being a large-scale AI ecosystem that supports corporate innovation, rather than a simple AI tool.
AI DevOps is built on application-oriented hardware with high performance, high density, and high throughput, and is designed to accommodate a wide range of customer AI development needs. Based on a design optimized for AI learning and inference, it provides a variety of product lines that maximize computational performance and input/output efficiency, and is provided as a turnkey product in cluster units that organically integrates computing, storage, and networking to implement integrated performance.
In addition, KTUS analyzes the computing demands expected by the user and provides cluster design and performance optimization services. Through one-stop cluster construction covering everything from hardware to system environment, one-click environment settings are possible using pre-configured images and scripts, and optimized infrastructure can be quickly implemented without complex system settings. MotusAI, which is installed at the top of the cluster, dramatically increases the utilization rate and operational efficiency of the entire cluster through various functions such as multi-instance GPU resource division and distribution, parallel operation, topology recognition, data acceleration, and low-code distribution.
Meanwhile, K2US will be welcoming visitors to the L01 booth at COEX in Seoul during the 'AI EXPO KOREA 2025 International Artificial Intelligence Expo'. At the site, visitors can directly experience K2US' next-generation AI infrastructure strategy, including the MotusAI demonstration.
- See more related articles
You must be logged in to post a comment.