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MSI GeForce RTX 3060 Ti VENTUS 2X 8G OCV1 LHR

Photos - Graphics Card MSI GeForce RTX 3060 Ti VENTUS 2X 8G OCV1 LHR
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MSI GeForce RTX 3060 Ti VENTUS 2X 8G OCV1 LHR
Main
InterfacePCI-E v4.0
LHR (low hash rate)
GPU
GPU modelNVIDIA GeForce RTX 3060 Ti / LHR /
ArchitectureAmpere
Memory size8 GB
Memory typeGDDR6
Memory bus256 bit
GPU clock speed1695 MHz
Memory clock14000 MHz
Lithography8 nm
Max. resolution7680x4320 px
Passmark G3D Mark19523 score(s)
Connections
HDMI1
HDMI versionv.2.1
DisplayPort3
DisplayPort versionv.1.4a
Software
DirectX12 Ultimate
OpenGL4.6
VR
Stream processors4864
General
Monitors connection4
Coolingactive (fan)
Fans2
Power consumption200 W
Additional power8 pin
Minimum PSU recommendation650 W
Number of slots2
Length235 mm / 235x124x42 /
Official Websitemsi.com
Added to E-Catalogjuly 2021

Balanced 2021 mid-range gaming graphics card for gaming systems equipped with FullHD/WQHD monitors. Refers to Lite Hash Rate class video adapters, which are equipped with a hardware blocking system for mining Ethereum cryptocurrency and a number of other popular algorithms used for mining altcoins. It differs from similar models from other brands with factory overclocking profiles and the use of an efficient proprietary dual-slot cooling system, which consists of a system of copper heat pipes with aluminium fins and two large, low-noise, durable TorX Fan 3.0 fans with an optimized impeller.

Thanks to the Zero Frozr function that stops the fans when the GPU temperature is low, the MSI GeForce RTX 3060 Ti VENTUS 2X 8G OCV1 LHR graphics card is completely silent when idle. With a powerful Nvidia GA104 (8nm, Ampere) GPU and fast GDDR6 graphics memory, this model is capable of comfortably high frame rates in any 2015-2021 AAA titles at high graphics settings. In addition to gaming, it can be used to effectively solve the problems of creating / processing digital content. It is capable of performing GPU calculations for rendering 3D objects, virtual prototyping, video and raster graphics processing, as well as solving machine learning problems.

Information in model description is for reference purposes.
Before buying always check characteristics and configuration of product with online store manager
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