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The calculation results for the Server or Server with viewing client contain information about the recommended archive size, total streams and server specifications. To view the results of the platform calculation, select the type of calculation — Server or Server with viewing client (see Selecting the type of calculation):
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Each time the streams are added to the list (see Selecting the cameras), or the parameters affecting the calculation are changed (bit rate, streams recording, etc.), the parameters are recalculated.
Archive size
If the Calculation without RAID option was selected (see Archive parameters), the recommended archive size will be displayed:
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- Number of disks required to build the needed RAID level with the given disk size.
- Total volume = Number of disks * one Disk size
- Effective volume is a disk space required for storage of the archive with the depth set on the Recording time given tab.
- Effective disk space usage = Effective volume / Total volume (percentage)
- Disk fault tolerance is a number of disks that can fail without archive loss.
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The disk size data is for informational purposes only. For an accurate calculation, use the camera manufacturer's calculator. A list of known calculation programs is displayed in the Vendor's calculator drop-down list.
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Total streams
The Total streams field contains the recommended values for the total stream from IP cameras, stream for recording and stream for clients:
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The bitrate values used for streams calculation are for informational purposes only. For an accurate calculation of camera bitrate, use the camera manufacturer's calculator. A list of known calculation programs is displayed in the Vendor's calculator drop-down list. |
Recommended platforms
The Server specifications tab of the Recommended platforms section shows the results of platform calculation for processors with the selected architecture (see Selecting the CPU architecture):
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RAM should be used in dual-channel mode or greater mode based on the number of processors in the platform. For example, 4 RAM modules are recommended for dual-processor platforms, 8 RAM modules for four-processor platforms and 2 RAM modules for the rest. Using RAM at a higher frequency, or using RAM in dual-channel mode or greater mode, results in a CPU load decrease, and therefore in the performance increase. |
Partners' platforms
The IPDROM solutions tab is not available in English, Spanish or German version of the Platform calculator. In other tabs in the Recommended platforms group, the recommended platforms by AxxonSoft partners are shown (Promise, Secure Logiq, Rasilient, BCDVideo, Razberi). To view a platform description on partner's web site, click corresponding link in the Platform column.
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Calculation results can be exported to an Excel file — for details, see Export calculation results to xls.
GPU recommendations
GPU requirements for configuring/viewing the cameras
In case of the Server without viewing, the recording takes place on the server, and the cameras are viewed on the remote operator workstations (Clients), therefore, connecting the monitor to the server may be required only for the initial setup and configuration of the system. For this purpose, any graphics card (including integrated into the motherboard) is suitable. There is only one requirement for Axxon Next: the graphics card should support OpenGL version 2.0 (or higher) with the ARB_vertex_program, GL_EXT_blend_func_separate, and GL_ARB_framebuffer_object extensions.
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For hardware accelerated video decoding (Intel Quick Sync), use the graphics card built into some Intel processors (for example, Intel HD Graphics 530 built into the 6th generation Intel Core processor). This technology allows for faster and more energy efficient processing of video content. For more information on Intel Quick Sync Technology, see the product documentation.
GPU/
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neural accelerator requirements for detection tools
For a server with detection tools that use GPU/VPU resources, the suitable models and the number of GPUs/accelerators should be selected according to the information from the GPU and VPU performance for detection tools section.