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 ...
In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in ...
Canonical will package and distribute NVIDIA CUDA in the Ubuntu repositories, making it easier for developers to install with ...
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 ...
NVIDIA released CUDA 5, you can download it for free at the company's Developer Zone website. The new update promises to make NVIDIA's parallel computing platform easier than ever, it comes with new ...
NEW HAVEN, Conn., Sept. 2, 2025 /PRNewswire/ -- Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its Aqumen software suite. The ...
Nvidia has made improvements to its underlying software tools to make it easier to write programs for faster execution across CPUs and graphics processors. The company on Thursday announced CUDA 6, ...
In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against OpenCL ...
In this Programming Throwdown podcast, Mark Harris from Nvidia describes CUDA programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...
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