Home / Graphics Cards / ASUS CERBERUS-GTX1070TI-A8G NVIDIA GeForce GTX 1070 Ti 8 GB GDDR5
ASUS · MPN 90YV0BJ1-M0NA00 · ASUS CERBERUS-GTX1070TI-A8G NVIDIA GeForce GTX 1070 Ti 8 GB GDDR5
ASUS CERBERUS-GTX1070TI-A8G NVIDIA GeForce GTX 1070 Ti 8 GB GDDR5
AI chip: NVIDIA GTX 1070 Ti 8 GB · models that fit
- Graphics Processor
- GeForce GTX 1070 Ti
- Graphics Processor Family
- NVIDIA
- Discrete Graphics Card Memory
- 8 GB
- Graphics Card Memory Type
- GDDR5
- Interface Type
- PCI Express 3.0
- Cooling Type
- Active
- Maximum Resolution
- 7680 x 4320 pixels
- Cuda Cores
- 2432
Specifications
Design
| Cooling Type | Active |
|---|---|
| Number Of Fans | 2 fan(s) |
| Product Colour | Black |
Memory
| Discrete Graphics Card Memory | 8 GB |
|---|---|
| Graphics Card Memory Type | GDDR5 |
| Memory Bus | 256 bit |
| Memory Clock Speed | 8008 MHz |
Packaging content
| Bundled Software | ASUS GPU Tweak II |
|---|---|
| Drivers Included | Yes |
| User Guide | Yes |
Packaging data
| Package Type | Box |
|---|
Performance
| Full Hd | Yes |
|---|---|
| Hdcp | Yes |
| Opengl Version | 4.5 |
| Tv Tuner Integrated | No |
| Virtual Reality (Vr) Ready | Yes |
Ports & interfaces
| Displayports Quantity | 2 |
|---|---|
| Dvi-D Ports Quantity | 1 |
| Hdmi Ports Quantity | 2 |
| Hdmi Version | 2.0 |
| Interface Type | PCI Express 3.0 |
Power
| Supplementary Power Connectors | 1x 8-pin |
|---|
Processor
| Cuda | Yes |
|---|---|
| Cuda Cores | 2432 |
| Firestream | No |
| Graphics Processor | GeForce GTX 1070 Ti |
| Graphics Processor Family | NVIDIA |
| Maximum Resolution | 7680 x 4320 pixels |
| Processor Boost Clock Speed | 1746 MHz |
| Processor Frequency | 1670 MHz |
Weight & dimensions
| Depth | 51 mm |
|---|---|
| Height | 120.8 mm |
| Length | 270 mm |
Other GeForce GTX 1070 Ti graphics cards
Sources
Product identity, images and specifications: Icecat. Amazon ASIN and offer (when shown): Amazon Creators API match EXACT · ASIN B077SJBH67. 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.