Unleashing the Full Potential
of AI Data Centers

MORGENROT

®

TailorNode

It is a virtualization orchestration platform for AI data centers that makes it easier and more effective to monetize GPU computing power.

Ideal for These Scenarios

Build a private GPU cloud for dedicated internal use within your company or group companies.

Create a secure GPU cloud that supports both internal operations and external rental services.

Accelerate AI data centers deployment to quickly launch GPU cloud services for enterprises.

Virtualize bare-metal GPU servers to maximize hardware utilization and support diverse workloads.

Unify management of on-premise & cloud resources on a single, streamlined platform.

Enable scalable GPU clustering for seamless expansion and optimized performance.

MORGENROT TailorNode Overview

A virtualization orchestration platform that virtualizes and centrally manages private GPU clouds and on-premise GPU servers, enabling flexible control over the provision of computing resources both inside and outside the organization to support multi-user environments. It empowers efficient and profitable AI data center operations.

Official Partner

Morgenrot is an official partner of NVIDIA.

CEO MESSAGE

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モルゲンロット株式会社 代表取締役
森本 竜英

Features of MORGENROT TailorNode

01

Unified Management of All Computing Resources

Centralized control of multiple GPU servers and AI data centers, enabling highly efficient operations.

02

Virtualized Resource Allocation

Proprietary GPU virtualization technology allows physical GPU servers to be divided down to single GPU units for flexible resource provisioning.

03

Job-Based Server Utilization Management

Monitor GPU server usage per job, enabling trend analysis and statistical optimization for efficient job distribution.

04

Multi-User Shared GPU Cloud Across Departments & Locations

Provides GPUaaS (GPU as a Service), allowing multiple departments and locations to simultaneously share and utilize resources.

05

External GPU Resource Leasing

Surplus GPU and AI data center resources can be leased to external companies when not in use.

06

User-Friendly GUI for Management & Usage

Intuitive GUI-based control panel for both GPU server administrators and users, ensuring easy operation.

07

Reservation & Point-Based Billing System

Supports server reservations in advance and point-based consumption tracking per user or user group.

08

Real-Time GPU Server Monitoring

Continuously tracks server activity, with alerts for anomalies to ensure system stability.

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Provided Features

Server Management & Administration

  • Server Management Dashboard
  • Administrator Settings & Management
  • User Settings & Management
  • GPU/CPU Server Virtualization

Operational & Monitoring Tools

  • Server Utilization & Status Management
  • Server Group Management
  • Server Alive Monitoring

Job Execution & Scheduling

  • Job Execution Management
  • Job Calendar for Scheduling
  • Distributed Job Processing
  • GPU/CPU Server Virtualization

Cloud & Resource Integration

  • Public Cloud Integration
  • Cloud Instance Management

Resource Utilization & Optimization

  • Job-Based Power Consumption Calculation (In Development)
  • Server Utilization Reservations
  • Server Start & Stop Controls
  • Point-Based Wallet System (Billing Management)

Network & Infrastructure Services

  • External Public Cloud Connectivity
  • Network Configuration & Setup
  • Server & Hardware Architecture Design
  • Hardware Selection & Procurement
  • Server & Hardware Installation & Setup
  • Server & Hardware Maintenance & Management

Implementation Process

MORGENROT’s unique strength lies in its end-to-end capability to support AI data centers—from initial consulting for construction and operation to full platform development and cloud service integration, ensuring that customers can seamlessly utilize AI infrastructure.
Currently, MORGENROT is engaged in a diverse range of projects with global enterprises, major domestic corporations, and SMEs across various industries, including IT, manufacturing, construction, healthcare, and academic research.

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