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September 2019 |
The ASUS Dual GeForce® RTX 2080 SUPER™ EVO OC edition 8GB GDDR6 with two powerful Axial-tech fans for high refresh rate AAA gaming and VR
- RT Cores: Dedicated ray tracing hardware enables fast real-time ray tracing of objects and environments with physically accurate shadows, reflections, refractions, and global illumination.
- Concurrent Floating Point and Integer Processing: Turing GPUs more efficiently process the compute heavy workloads of modern games.
- Ultra-fast GDDR6: Experience up to 496 GB/s of memory bandwidth for high-speed, high-resolution gaming.
- Axial-tech fan design features a smaller fan hub that facilitates longer blades and a barrier ring that increases downward air pressure.
- 0dB Technology lets you enjoy light gaming in relative silence.
- 2.7-slot Design expands cooling surface area to make the most of the two powerful Axial-tech fans.
- Auto-Extreme Technology uses automation to enhance reliability.
- A Protective backplate secures components during transportation and installation.
- GPU Tweak II provides intuitive performance tweaking, thermal controls, and system monitoring.
- 144-hour Validation Program puts cards through a series of stringent tests to ensure compatibility with the latest games.
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Specifications
GPU Engine Specs
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| CUDA Cores |
2944 |
Engine Clock
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(Default): GPU Boost Clock: 1830 MHz, GPU Base Clock: 1650 MHz
(OC Mode): GPU Boost Clock: 1860 MHz, GPU Base Clock: 1680 MHz
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| Memory Specs |
| Memory Clock |
15500MHz |
| Standard Memory Config |
8GB |
| Memory Interface |
GDDR6 |
| Memory Interface Width |
256-bit |
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Power
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Power Comsumption
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250W, additional 6 + 8 pins PCIe power required
PSU 650W+ recommended |
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| Display Support |
| Digital Max Resolution |
7680 x 4320 |
| HDMI Output |
Yes x 1 (Native) (HDMI 2.0b) |
| Display Port |
Yes x 3 (Native) (DP1.4) |
| HDCP Support |
Yes (2.2) |
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| Standard Graphics Card Dimensions |
| Length |
10.5 inches (26.7 cm)
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| Height |
4.7 inches (11.8 cm) |
| Width |
2.2 inches (5.6 cm) |
Click here to return
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August 2019 |
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The On-Ramp Sampler Step #1 was released to Compucon partners free of charge and obligations in 2019-07. Below are just some examples showing the capability of the image captioning model trained by the Compucon R&D team up to 2018-06. These samples are intended to help Compucon partners understand the state of affairs of machine learning being developed. Two samples are obviously failures, whilst the other two make some sense. This situation indicates that the model still has a long way to go.
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August 2019 |
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The On-Ramp Sampler Step #1 was released to Compucon partners free of charge and obligations in 2019-07. Below are just some examples showing the capability of the image captioning model trained by the Compucon R&D team up to 2018-06. These samples are intended to help Compucon partners understand the state of affairs of machine learning being developed. Two samples are obviously failures, whilst the other two make some sense. This situation indicates that the model still has a long way to go.
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