CUDA vs. CUDA-X, why data science will increasingly play an important role, new enterprise servers for tackling data science and even workstations for data scientists - find out why all this and more matter in NVIDIA's perspective.

At this year’s SIGGRAPH, NVIDIA aims to bring artificial intelligence to graphics computing. At the same time, it plans to establish its presence at the forefront of VR development.

NVIDIA has announced CUDA 6 and this parallel programming platform has been updated to enable CUDA developers to be more efficient. CUDA 6 has also been enhanced to allow the same developers to retrofit CPU-based libraries with GPU-based ones for efficient parallel processing.

In addition to partnering a research team at Stanford University to create the world's largest artificial neural network, NVIDIA has also announced the public availability of the latest version the NVIDIA CUDA parallel computing platform and programming model, which for the first time delivers support for ARM-based platforms.

NVIDIA has announced that it has chosen NTU (Nanyang Technological University) as the first Southeast Asia CUDA Teaching Center (CTC).

In this special behind-the-scenes article, discover how visionary director Ang Lee and visual effects studios Rhythm & Hues used the magic of Hollywood and NVIDIA solutions to bring about one of the world's beloved books into reality.

NVIDIA has announced the availability of CUDA 5 that has been updated to support the new features of the Kepler GPU. The company also unveiled its new online CUDA Resource Center that is a one-stop shop for developers to take advantage of the benefits of GP-GPU computing.

The new toolkit from NVIDIA for CUDA allows for unified virtual addressing, GPU-to-GPU communication and enhanced C++ template libraries which enable more developers to take advantage of GPU computing.

NVIDIA today announced CUDA support for OpenCV, the popular Computer Vision library used in developing advanced applications for the robotics, automotive, medical, consumer, security, manufacturing, and research fields.

With new announcements of CUDA accelerated applications from big titles like 3ds Max, MATLAB and more, NVIDIA proudly proclaims that they've put the power of CUDA within reach of every engineer, designer and researcher in the world. Plus, CUDA for x86 platforms is just around the corner! Details inside.