Home / Graphics Cards / GIGABYTE AORUS GeForce RTX 3070 MASTER 8G (rev. 2.0) NVIDIA 8 GB GDDR6

GIGABYTE · MPN GV-N3070AORUS M-8GD 2.0 · GIGABYTE AORUS GeForce RTX 3070 MASTER 8G (rev. 2.0) NVIDIA 8 GB GDDR6
GIGABYTE AORUS GeForce RTX 3070 MASTER 8G (rev. 2.0) NVIDIA 8 GB GDDR6
AI chip: NVIDIA RTX 3070 8 GB · models that fit
- Graphics Processor
- GeForce RTX 3070
- Graphics Processor Family
- NVIDIA
- Discrete Graphics Card Memory
- 8 GB
- Graphics Card Memory Type
- GDDR6
- Interface Type
- PCI Express x16 4.0
- Cooling Type
- Active
- Maximum Resolution
- 7680 x 4320 pixels
- Cuda Cores
- 5888
Specifications
Design
| Cooling Type | Active |
|---|---|
| Illumination | Yes |
| Illumination Colour | Multi |
| Number Of Fans | 3 fan(s) |
| Product Colour | Black |
Logistics data
| Harmonized System (Hs) Code | 84733020 |
|---|
Memory
| Discrete Graphics Card Memory | 8 GB |
|---|---|
| Graphics Card Memory Type | GDDR6 |
| Memory Bandwidth (Max) | 448 GB/s |
| Memory Bus | 256 bit |
| Memory Clock Speed | 14000 MHz |
Packaging content
| User Guide | Yes |
|---|
Packaging data
| Package Type | Box |
|---|
Performance
| Directx Version | 12 Ultimate |
|---|---|
| Dual Link Dvi | No |
| Opengl Version | 4.6 |
| Tv Tuner Integrated | No |
Ports & interfaces
| Displayports Quantity | 3 |
|---|---|
| Displayport Version | 1.4a |
| Hdmi Ports Quantity | 3 |
| Hdmi Version | 2.0/2.1 |
| Interface Type | PCI Express x16 4.0 |
Power
| Minimum System Power Supply | 650 W |
|---|---|
| Supplementary Power Connectors | 2x 8-pin |
Processor
| Cuda | Yes |
|---|---|
| Cuda Cores | 5888 |
| Graphics Processor | GeForce RTX 3070 |
| Graphics Processor Family | NVIDIA |
| Maximum Displays Per Videocard | 4 |
| Maximum Resolution | 7680 x 4320 pixels |
| Processor Frequency | 1845 MHz |
Weight & dimensions
| Depth | 60 mm |
|---|---|
| Height | 131 mm |
| Length | 290 mm |
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Sources
Product identity, images and specifications: Icecat. Amazon ASIN and offer (when shown): Amazon Creators API match NO_MATCH · ASIN B0996B2Z87. Google Shopping is used only as supporting market context and is not required for this page. GPU chip mapping and model fit: RigForAI calculated estimate on the AI GPU page.