NVIDIA unveiled the revolutionary Tegra(R) K1 mobile processor, a 192-core super chip featuring the same NVIDIA(R) Kepler(TM) architecture that powers the fast GPU, the NVIDIA GeForce(R) GTX(TM) 780 Ti. For the first time, next-generation PC gaming will now be available on mobile platforms. The Tegra K1 processor sets new mobile standards by supporting the latest PC-class gaming technologies, enabling it to run sophisticated gaming engines like Epic Games' Unreal Engine 4. It delivers advanced computation capabilities to speed the development of applications for computer vision and speech recognition. And its extraordinary efficiency delivers higher performance than any other mobile GPU at the same power level.

Tegra K1 is offered in two pin-to-pin compatible versions. The first version uses a 32-bit quad-core, 4-Plus-1(TM) ARM Cortex A15 CPU. The second version uses a custom, NVIDIA-designed 64-bit dual Super Core CPU.

This CPU (codenamed "Denver") delivers very high single-thread and multi-thread performance. It is based on the ARMv8 architecture, which brings the energy-efficient heritage of ARM processor technology to 64-bit computing. Both versions of Tegra K1 deliver stunning graphics and visual computing capabilities powered by the 192-core NVIDIA Kepler GPU.

The 32-bit version is expected in devices in the first half of 2014, while the 64-bit version is expected in devices in the second half of the year. Tegra K1 provides full support for the latest PC-class gaming technologies, including DirectX 11, OpenGL 4.4 and tessellation. These capabilities will enable PC and console game developers to finally bring their stunning, visually rich titles to mobile devices.

Such features enable Tegra K1 to run the most advanced game engine, Unreal Engine 4. Unreal Engine is the most successful commercially licensed game engine, powering hundreds of games on high-end PCs and consoles. Tegra K1 is the first processor to bring advanced computational capabilities to mobile -- leveraging its advanced GPU to deliver new mobile experiences. It is also the first mobile processor to support NVIDIA CUDA(R), most pervasive parallel computing platform.

Developers have downloaded CUDA more than 2 million times to create cutting-edge GPU-accelerated applications for computer vision, advanced imaging, speech recognition, video editing and more.