Explore the complete details of GeForce GTX 1080 Ti, including specs, performance benchmarks
The GeForce GTX 1080 Ti GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 3584 CUDA cores. and a boost clock of 1582 MHz MHz. It offers GDDR5X memory with 11 GB GB capacity and a 352 Bit-bit interface. delivering a bandwidth of 484.4 GB/s GB/s. With a power consumption (TDP) of 250W.
Basic details about the GeForce GTX 1080 Ti, including manufacturer, ranking, and release date.
Title | GeForce GTX 1080 Ti |
---|---|
Manufacturer | NVIDIA |
Ranking | 75 |
Popularity Rank | 36 |
Architecture | Pascal (2016−2021) |
GPU code name | GP102 |
Market Segmente | Desktop |
Length - Width | 267 mm - 2-slot |
Release Date | 10 March 2017 |
Details on clock speeds, cores, and floating-point processing power of GeForce GTX 1080 Ti.
Core Clock Speed | 1481 MHz |
---|---|
Boost Clock Speed | 1582 MHz |
Floating Point Processing Power | 11.34 TFLOPS |
No of Transistors | 11,800 million |
CUDA Cores | 3584 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 354.4 |
ROPs | 88 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | 1x HDMI, 3x DisplayPort |
HDMI | 1 |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 224 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5X |
---|---|
Maximum RAM | 11 GB |
Memory Bus Width | 352 Bit |
Memory Clock Speed | 1376 MHz |
Memory Bandwidth | 484.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 250 W |
---|---|
Power Efficiency | 13.16 |
Manufacturing Process | 16 nm |
Supplementary Power Connectors | 1x 6-pin + 1x 8-pin |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.