|Max Screen Resolution||4096 x 2160|
|Memory Speed||7010 MHz|
|Graphics Coprocessor||Nvidia GeForce|
|Graphics Card Ram Size||12 GB|
ASUS GeForce GTX TITAN X Graphics Card, 12GB GDDR5 384-Bit, PCI Express 3.0 HDCP Ready SLI Support Video Card (GTXTITANX-12GD5)
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- ASUS GU Tweak Utility- Real-time and intuitive tweaking
- Gigantic 12 GB DDR5 Memory for the best gaming experience & the best resolution
- NVIDIA G-SYNC delivers the smoothest and fastest framing experience
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ASUS GTX Titan X graphics card is powered by the brand-new GeForce GTX Titan X graphics-processing unit (GPU) and bundled with a free 1-year premium license of customized ASUS GPU Tweak and XSplit Gamecaster for advanced overclocking and online streaming. With 12GB of super-fast GDDR5 video memory, NVIDIA GPU Boost 2.0 and G-SYNC technologies, the ASUS GTX Titan X is a graphics powerhouse for the ultimate gaming experience.
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Whats this difference between this and earlier iterations?
In-Depth On The SMM
Maxwell Adds Performance Using Less Power. In short, the company says it increased utilization of the SMM by reconfiguring its resources.
Like the GeForce GTX 980 and 970 introduced to last September, GM200 is based on Nvidia’s efficient Maxwell architecture. Instead of GM204’s four Graphics Processing Clusters, you get six. And with four Streaming Multiprocessors per GPC, that adds up to 24 SMMs across the GPU. Multiply out the 128 CUDA cores per SMM and you get GeForce GTX Titan X’s total of 3072. Eight texture units per SMM add up to 192—with a base core clock rate of 1000MHz, that’s 192 GTex/s (the original GeForce GTX Titan was rated at 188, despite its higher texture unit count).
Like the SMMs found in GM204, GM200 exposes 96KB of shared memory and 48KB of texture/L1 cache, doubling what it had in the GeForce GTX 750 Ti’s GM107. The other architectural elements are similar though; each SMM is broken up into four blocks, with their own instruction buffer, warp scheduler and pair of dispatch units. In fact, so much is carried over that double-precision math is still specified at 1/32 the rate of FP32, even though GM200 is the Maxwell family’s big daddy. Incidentally, an upcoming Quadro card based on the same GPU shares this fate. If FP64 performance is truly important to you, Nvidia would likely suggest one of its Tesla boards..
Some people feel that NVIDIA has been dishonest because it has omitted the FP64 performance, and is still charging a premium for this single card solution.
These functions are usually utilized for the scientific community, that being said if you can get this card at a reasonable price do so, as you will be doing yourself a favor and futureproofing your system for years to come.
12gb! everyone says that's overkill, guess what it's not. we are looking at a landscape that is requiring a larger and larger framebuffer and its just easier to program and code having the onboard Vram being used.
The card is a beast and has surpassed my expectations and I am an early adopter of bleeding technology. I purchased 2 of these cards. It was a big hit to the wallet accompanied with the thing I always tell myself ...I done ! im not upgrading anymore! I don't need anything more. I'm going to be homeless and hungry one day because of my addiction to the best tech has to offer.
Bottom line: there is no better card on the market today. Also its nice to purchase from Amazon because of the hassel free returns, I also purchased a protection plan, just in case. I think having the right insurance of bleeding edge computer parts is a no brainer, its like backing up. just do it.
If you have any specific questions, please feel free to ask.