Detailed characteristics
Processor
Intel Core i5 14500 (20 threads at 2.6 - 5.0 GHz per core). The processor's normal frequency is 2.6 GHz, maximum frequency in turbo mode is 5.0 GHz.
Cooling
Liquid cooling system from ID Cooling with 120mm radiator (TDP 200W+). Unattended AIO system with 120mm cooler and about 50,000 hours of service life.
Memory
DDR4 64 GB with frequency from 3200 MHz, memory without error correction (ECC), modules are installed in 2-channel mode.
Motherboard
Maximum reliable boards on Intel Z790 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
2x Quadro RTX A4000 16GB video cards are installed. A large amount of fast video memory is perfect for training models of medium and high complexity. 192 tensor cores of the 3rd generation on the Ampere architecture in each video card will cope with calculations quite quickly. It is worth noting that Quadro RTX is recommended by all AI software manufacturers. Performance at the level of 300 GFLOPS for each video card is a decent level for such systems. Low power consumption at 140 W allows you to install 2 video cards in a standard ATX case and use this workstation in office environments.
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!