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Morgenrot Launches MORGENROT® TailorNode, a Virtualization Orchestration Platform for AI Data Centers, Worldwide
Realizing a New Standard for AI Data Center Services
Tokyo, Japan – Morgenrot Inc., a company providing infrastructure solutions for computing power in the generative AI / HPC era, is launching its virtualization orchestration platform, “MORGENROT® TailorNode”, which enables a new business model for AI data centers. Starting March 24, 2025, the service will be available globally (Japan, North America, Southeast Asia, the Middle East, and Europe). With this service, enterprises can efficiently manage and optimize GPU resources, enabling more flexible and effective computing environments for generative AI and high-performance computing (HPC).

What is MORGENROT TailorNode?
MORGENROT TailorNode is a virtualization orchestration platform that enables the creation of private GPU cloud infrastructure, centralized management of on-premises servers, sharing of computing resources within a company or its group, and even the rental of computing power to external enterprises. It addresses the diverse needs of businesses that own or plan to introduce AI data centers and GPU servers, facilitating the development of new business models.
By adopting this platform service, companies can virtualize computing resources across AI data centers whether at a single site or multiple distributed locations on a per GPU basis. This allows for flexible resource allocation, optimizing cost efficiency while ensuring high security and scalability to meet diverse customer needs.
<MORGENROT TailorNode Services Overview Diagram>

Background of the Launch
With the rapid expansion of generative AI, the use of GPU servers has surged. These servers enhance large-scale training and inference processes through advanced parallel computing, enabling faster and more precise content generation. As a result, enterprises across various industries are accelerating the adoption and utilization of GPU servers. However, due to the increasing demand, companies face several challenges, including:
Lack of visibility and optimization in GPU server usage, resulting in poor return on investment
Fragmented management of multiple GPU servers across different locations, leading to low utilization rates
Inefficient resource sharing between internal departments, leaving servers idle
No means to lease excess GPU resources to external enterprises during off-peak hours
A need for efficient distribution of computing resources within AI data centers
MORGENROT TailorNode addresses these challenges, enabling efficient and flexible AI data center and GPU server operations through its innovative virtualization platform.
Key Features of MORGENROT TailorNode
Centralized Management of Computational Resources
Unifies the management of GPU servers and AI data centers for efficient operations
Flexible Resource Allocation through Virtualization
Proprietary technology allows splitting physical GPU server into single GPU unit virtual resources
Job-Based Server Management
Tracks usage on a per-job basis and optimizes operations through statistical analysis
Multi-Department & Multi-Location Resource Sharing
Enables multiple users to simultaneously utilize GPU resources via GPUaaS (GPU as a Service)
Leasing Excess GPU Resources to External Companies
Maximizes utilization by offering surplus resources to external enterprises
User-Friendly GUI Interface
Provides an intuitive and easy-to-use graphical interface for administrators and users
Reservation & Point-Based Pricing System
Includes reservation features and a point-based system for flexible usage management
Real-Time Monitoring & Alerts
Constantly monitors system performance and alerts users in case of anomalies
Implementation Process of MORGENROT TailorNode
Morgenrot provides end-to-end support, building AI data centers and operations to platform deployment, allowing customers to seamlessly transition to cloud-based services. With extensive experience working with global enterprises, major corporations, and SMEs, Morgenrot offers flexible support from initial implementation consulting to full-scale deployment.

Future Prospects
Moving forward, MORGENROT TailorNode will enhance features such as:
Job-based visualization of GPU power consumption
CO2 emissions tracking based on power usage
Monitoring of energy sources, including renewable energy
Through these advancements, Morgenrot aims to develop AI data centers with higher energy efficiency and contribute to next-generation technological advancements globally.
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