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  • CAD Editor

  • UI Customization

  • API Server

  • Token

  • New or customized CAD features

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System Requirements

Minimum Memory Requirement for the Server

To ensure optimal performance and the ability to open drawings, your server should have a minimum of 3GB of memory available.
Having less than 3GB of memory may result in inadequate resources for the server to handle drawing operations efficiently, potentially leading to must have at least 3 GB of available memory.
Insufficient memory—less than 3 GB—can lead to resource constraints, causing performance issues or failure to open drawings.
It 's is strongly recommended to allocate at least 3GB 3 GB of memory to the server to ensure smooth operation and guarantee smooth operations and provide sufficient resources for handling drawing-related tasks effectively..


Supported Operating Systems

ARES Kudo Server is compatible with the following operating systems:

  • Windows 10 and 11

  • Windows Server 2022

  • Linux Ubuntu 20.04

Recommended System Requirements for ARES Kudo Server

The following specifications are recommended based on the number of concurrent sessions the server needs to support:

ARES Kudo Editor

  1. For 4 concurrent sessions:

    • Cloud: t3.medium (AWS EC2): 2 cores, 4 GB memory

    • On-premises: Dual-core processor, 4 GB memory

  2. For 20 concurrent sessions:

    • Cloud: r5.large (AWS EC2): 2 cores, 16 GB memory

    • On-premises: Dual-core processor, 16 GB memory

  3. For 45 concurrent sessions:

    • Cloud: r5.xlarge (AWS EC2): 4 cores, 32 GB memory

    • On-premises: Quad-core processor, 32 GB memory

  4. For 95 concurrent sessions:

    • Cloud: r5.2xlarge (AWS EC2): 8 cores, 64 GB memory

    • On-premises: Octa-core processor, 64 GB memory

Headless mode (no UI)

  1. For 10 concurrent sessions*:

    • Cloud: t3.medium (AWS EC2): 2 cores, 4 GB memory

    • On-premises: Dual-core processor, 4 GB memory

  2. For 100 concurrent sessions*:

    • Cloud: r5.xlarge (AWS EC2): 4 cores, 32 GB memory

    • On-premises: Quad-core processor, 32 GB memory

  3. For 250 concurrent sessions*:

    • Cloud: r5.2xlarge (AWS EC2): 8 cores, 64 GB memory

    • On-premises: Octa-core processor, 64 GB memory

  4. For 500 concurrent sessions*:

    • Cloud: r5.4xlarge (AWS EC2): 16 cores, 128 GB memory

    • On-premises: 16-core processor, 128 GB memory

*ramp up period - 10s (load test performed with 9mb dwg file in operation export PDF)

End user machine

OS

Browser (Supports WebGL)

Windows 10/ Windows 11

Google Chrome, Microsoft Edge, Firefox

Linux

Google Chrome, Firefox

MacOS

Safari, Google Chrome, Firefox



ARES Kudo Developer Studio documentation

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