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Detailed characteristics
Processor
AMD Ryzen 9 7900x (24 threads with a frequency of 4.7 - 5.6 GHz per core). The base frequency of the processor is 4.7 GHz, the maximum in turbo mode is 5.6 GHz.
Cooling
Liquid cooling system from ID Cooling with 240mm radiator (TDP 200W+). AIO unattended system with 2 120mm coolers and a lifetime of about 50000 hours. A powerful solution for the latest generation of processors.
Memory
DDR5 64 GB, memory without error correction (ECC), modules installed in 2-channel mode. High module frequency (5200 MHz +), low power consumption and high bandwidth are the main advantages of the latest generation of memory.
Motherboard
Maximum reliable boards on X670 chipset from Gigabyte, Asrock. Asus.
Disk drive
Installed SSD disk drive for 1 TB. SSD SSD provides 3-5 times faster information exchange, compared to HDD. SSD drives guarantee fast startup of both OS and application programs. Low power consumption and absolutely silent operation.
Video adapter
A GeForce RTX 4080 Super 16GB video card is installed. A large amount of fast video memory is perfect for training models of medium and high complexity. 320 tensor cores of the 4th generation on the Ada Lovelace architecture. The performance of the adapter is at the level of 815 GFLOPS. High power consumption at 320 W of one card still allows you to use a standard ATX case for this workstation.
Case
Conforms to the ATX standard. Tentative view of the case on the photo. The exact model of the case and all possible changes in components, backlighting, etc. can be clarified with the manager.
Case cooling
There are 4 pcs of 120mm coolers pre-installed in the case, they can be both with and without LED backlighting. The number of coolers can be changed by agreement with the manager, color, models of coolers and so on are specified separately.
Operating system
To test the performance is pre-installed unactivated version of Windows 10/11. You can activate it at your will. An activation key for a licensed copy of Windows 10/11 can be purchased separately.
Appointment
This workstation is optimized for GPU computing tasks. Deep learning of AI models, rendering, data science
Changing parameters
Changes to this configuration are available in the Uluchshaiser section. You can: increase the amount of RAM, change the processor model within the platform, change the size and number of disks, improve the cooling system.
WARNING!!! If you have not found the necessary improvement or you have an individual request - our managers will gladly calculate and edit the order in the phone mode!