How Can We Help You?
Automation
Contact Sales
Get a Quote
Join Us
Contact Support
Product Resources - (Sign in required for expanded results)
Brochures
Manuals
Quick Start Guides
Certifications
Selection Guide
All Content
Training
Stay Informed
FacebookNew44 LinkedInNew44 X244x44 YouTubeNew44 Blogicon2 InstagramNew44

System Configuration/License/Operating Environment

System Configuration/License/Operating Environment

System Configuration

Data collection and diagnosis can be started in MELSOFT MaiLab with just a basic license. In addition, systems can be freely configured according to the scale of facilities, increases in the number of analysis users, etc.

License

Operating Environment

Learning operating environment

In the minimum operating environment, it is possible to execute methods such as multiple regression analysis, etc. with relatively low calculation processing when no other tools are running. To execute methods such as deep learning, etc. that require lots of calculation processing, the recommended operating environment is necessary.

Item Description
Minimum Recommended
Computer PC, industrial PC, server
  CPU Intel® Core™-i3 equivalent or better Intel® Core™-i7 equivalent or better*1
Memory 4 GB or more 16 GB or more*1
OS English, Simplified Chinese, Japanese versions
64-bit
Windows® 10 (Pro, Enterprise, IoT Enterprise)
Windows Server 2019 (Datacenter, Standard, Essentials)
Windows Server 2016 (Datacenter, Standard, Essentials)
Available storage space 16 GB or more 64 GB or more
Collection/diagnosis operating environment
Item Description
Minimum Recommended
Computer PC, industrial PC, server
  CPU Intel® Core™-i3 equivalent or better Intel® Core™-i7 equivalent or better*1
Memory 4 GB or more 8 GB or more*1
OS English, Simplified Chinese, Japanese versions
64-bit
Windows® 10 (Pro, Enterprise, IoT Enterprise)
Windows Server 2019 (Datacenter, Standard, Essentials)
Windows Server 2016 (Datacenter, Standard, Essentials)
Available storage space 16 GB or more 32 GB or more*1

*1 Required when executing not just methods such as multiple regression analysis, etc. with relatively low calculation processing, but methods such as deep learning, etc. that require lots of calculation processing.