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AI, DL Solutions

We challenge

Integrated Job Management Platform for AI, ML, DL
Efficiently provide, use and manage Multi GPU Environments

Introduction Effect

  • Easy and convenient GPU use

    Web-based, easy-to-use integrated
    GPU infrastructure anytime, anywhere

    Efficient use of hardware resources

    Reduce costs through management

  • Independent use environment

    Python, Virtualenv management function

    Independent development
    environment provided by each user

  • Faster Research Results

    Common use of idle GPU systems

    Additional input into complex
    data analysis operations

  • Planned IT Investment

    Monitor and statistics overall
    GPU usage to enable planned IT
    investment and maintenance

Features

  • Web-based integrated management

    Use development systems anytime, anywhere via the web

    Access and use through various web browsers,
    such as Explorer, Chrome, etc.

  • Multi GPU Scheduling

    Provides a variety of GPU development environments

    - GPU resource allocation functions
    for various connectivity environments
    (VNC, SSH terminal, Container terminal, etc.)

    Submit the CLI command-based GPU task scheduler

    Provides web-based dedicated GPU job submission form

    Worklist viewable, resource usage information available

  • Virturenv management

    Ability to apply and manage virtual development environments

    Creating a Python, Virtualenv
    (virtual environment) per user via the Web

    Provide a separate (only) Python
    development environment for each user

    Manage the generated Virtual Python
    Development Environment Package

  • Docker Container Management

    Container interlocking and using

    In-house Container and External Container Repository
    Synchronization Capabilities

    Create and connect a Container - Fixed CPU Allocation
    When creating a Container

  • Multi GPU Integrated Monitoring

    Web-based Support Monitoring and System Usage Statistics

    Distributed Multi GPU Integration Monitoring

    GPU detailed usage status
    (GPU, Memory, Power, Temperature Clock, etc.)

    Provides GPU job log monitoring

    Provides CPU, GPU scheduler task monitoring

    Analyze CPU, GPU Usage Statistics by Period

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