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GIGABYTE

GIGABYTE GV-N2070WF2-8GD GeForce RTX 2070 graphics card

SKU CH-5NQM-7Q5ZM

Delivers 8 GB GDDR6 on a 256-bit bus with 2304 CUDA cores at 1620 MHz, plus three DisplayPort 1.4 and one HDMI 2.0b for 7680 x 4320 at 60 Hz

  • InterfacePCI Express 3.0 x16
  • Chipset ManufacturerNVIDIA
  • GPU SeriesNVIDIA GeForce RTX 20 Series
  • GPUGeForce RTX 2070
  • Core Clock1620 MHz
  • CUDA Cores2304
  • 8 GB GDDR6 memory handles large textures at 14000 MHz
  • 2304 CUDA cores accelerate rendering and compute workloads
  • Core clock reaches 1620 MHz for responsive frame rates
  • Four display outputs include HDMI 2.0b and three DisplayPort 1.4 connectors
  • Drives 7680 x 4320 resolution at 60 Hz for multi-monitor setups

GeForce RTX 2070 8 GB graphics card

The GIGABYTE GV-N2070WF2-8GD is a PCI Express 3.0 x16 add-in board built around the NVIDIA GeForce RTX 2070 GPU. It delivers 2304 CUDA cores clocked at 1620 MHz and 8 GB of GDDR6 memory on a 256-bit bus running at 14000 MHz. The card supports DirectX 12 and OpenGL 4.6 for modern gaming and creative workloads.

Dual-slot PCIe 3.0 x16 compatibility check

Before ordering verify that your motherboard has a free PCI Express 3.0 x16 slot and that the case can accommodate a dual-slot card measuring 10.43 inches long by 4.75 inches high. Ensure your power supply provides the required auxiliary connectors and sufficient wattage for the GPU. Confirm your monitor cables match the one HDMI 2.0b and three DisplayPort 1.4 outputs for up to four displays.

Sustained-load thermal behaviour

Under continuous load the dual-slot cooler maintains stable core clocks while exhausting heat into the case airflow path. The 256-bit GDDR6 memory subsystem sustains 14000 MHz effective bandwidth during extended render or compute sessions. Outputs remain capable of driving 7680 x 4320 at 60 Hz without throttling. Fan speed ramps gradually to balance acoustic output and thermal headroom.

주요 특징

  • 8 GB GDDR6 memory handles large textures at 14000 MHz
  • 2304 CUDA cores accelerate rendering and compute workloads
  • Core clock reaches 1620 MHz for responsive frame rates
  • Four display outputs include HDMI 2.0b and three DisplayPort 1.4 connectors
  • Drives 7680 x 4320 resolution at 60 Hz for multi-monitor setups

사양

BrandGIGABYTE
ModelGV-N2070WF2-8GD
InterfacePCI Express 3.0 x16
Chipset ManufacturerNVIDIA
GPU SeriesNVIDIA GeForce RTX 20 Series
GPUGeForce RTX 2070
Core Clock1620 MHz
CUDA Cores2304
Effective Memory Clock14000 MHz
Memory Size8GB
Memory Interface256-Bit
Memory TypeGDDR6
DirectXDirectX 12
OpenGLOpenGL 4.6
Multi-Monitor Support4
HDMI1 x HDMI 2.0b
DisplayPort3 x DisplayPort 1.4
Max Resolution7680 x 4320 @ 60 Hz
SLI SupportNo
Virtual Reality ReadyYes
Thermal Design Power120W
System RequirementsRecommended PSU: 550W
Recommended PSU Wattage550W
Power Connector8-Pin
FeaturesPowered by GeForce RTX 2070//Integrated with 8GB GDDR6 256-bit memory interface//WINDFORCE 2X Cooling System with alternate spinning fans//100mm unique blade fans//Protection Back Plate
Form FactorATX
Max GPU Length265 mm
Card Dimensions (L x H)10.43" x 4.75"
Slot Width2 Slots

이 상품에 대한 질문

Does the GV-N2070WF2-8GD come with power cables or a mounting bracket, or do I need to buy them separately?

The card occupies a dual-slot width and measures 10.43 inches long by 4.75 inches high, so check case clearance and ensure your power supply has the required 8-pin connectors.

With 2304 CUDA cores and an 8GB 256-bit GDDR6 buffer, is this the right RTX 2070 for 1440p gaming versus a lower-VRAM model?

The 8GB GDDR6 frame buffer paired with 2304 CUDA cores targets 1440p gaming and VR workloads, while the 1620 MHz core clock delivers the reference performance level for this GPU.

What does the 1620 MHz core clock actually deliver once the GV-N2070WF2-8GD is installed in a PCIe 3.0 x16 system?

The 1620 MHz boost clock is the rated maximum frequency; sustained speeds depend on your case airflow, power delivery and driver settings, but the card supports up to 7680 x 4320 at 60 Hz via HDMI 2.0b or three DisplayPort 1.4 outputs.

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