NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

NVIDIA today announced the latest version of the NVIDIA(R) CUDA(R) Toolkit for developing parallel applications using NVIDIA GPUs. The NVIDIA CUDA 4.0 Toolkit was designed to make parallel programming ...

The freedom to run your code anywhere with open unified accelerated computing CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage ...

SANTA CLARA, CA--(Marketwire - Oct 15, 2012) - NVIDIA today made available the NVIDIA® CUDA® 5 production release, a powerful new version of the world's most pervasive parallel computing platform and ...

“Our course focuses heavily on helping our students understand the general principles of parallelism and NVIDIA has been instrumental in helping us build and integrate this course into our curriculum, ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Getting started with parallel programming is easier than ever. In fact, now you can develop right on your Macbook Pro using its built-in Nvidia GeForce GPU. Over at QuantStart, Valerio Restocchi has ...