ASUS nVidia GeForce PH-RTX3060-12G-V2 RTX3060 V2 12GB Phoenix Video Card (LHR), PCI-E 4.0, 1777 MHz / 1807 MHz Boost Clock, 1x HDMI 2.1, 3x DP 1.4a

ASUS nVidia GeForce PH-RTX3060-12G-V2 RTX3060 V2 12GB Phoenix Video Card (LHR), PCI-E 4.0, 1777 MHz / 1807 MHz Boost Clock, 1x HDMI 2.1, 3x DP 1.4a The ASUS Phoenix GeForce RTX™ 3060 V2 12GB GDDR6 brings ultra high frame rates for today’s most popular titles. NVIDIA Ampere Streaming Multiprocessors: The building blocks for the world’s fastest, most efficient GPUs, the all-new Ampere SM brings 2X the FP32 throughput and improved power efficiency. 2nd Generation RT Cores: Experience 2X the throughput of 1st gen RT Cores, plus concurrent RT and shading for a whole new level of ray tracing performance. 3rd Generation Tensor Cores: Get up to 2X the throughput with structural sparsity and advanced AI algorithms such as DLSS. These cores deliver a massive boost in game performance and all-new AI capabilities. Axial-tech fan design has been tuned up with more fan blades and a reversed rotational direction for the center fan. Dual ball fan bearings can last up to twice as long as sleeve bearing designs. Auto-Extreme Technology uses automation to enhance reliability. A protective backplate prevents PCB flex and trace damage. Graphic Engine NVIDIA® GeForce RTX™ 3060 Bus Standard PCI Express 4.0 OpenGL OpenGL®4.6 Video Memory 12GB GDDR6 Engine Clock OC Mode - 1807 MHz (Boost Clock) Gaming Mode - 1777 MHz (Boost Clock) CUDA Core 3584 Memory Speed 15 Gbps Memory Interface 192-bit Resolution Digital Max Resolution 7680 x 4320 Interface Yes x 1 (Native HDMI 2.1) Yes x 3 (Native DisplayPort 1.4a) HDCP Support Yes (2.3) Maximum Display Support 4 NVlink/ Crossfire Support No Accessories 1 x Collection card 1 x Speedsetup manual Software ASUS GPU Tweak II & GeForce Game Ready Driver & Studio Driver: please download all software from the support site. Dimensions 6.97 ' x 5.04 ' x 2.01 ' Inch 17.7 x 12.8 x 5.1 cm Recommended PSU 650W Power Connectors 1 x 8-pin Slot 2.55 Slot Note * Our wattage recommendation is based on a fully overc