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 ...

Canonical will package and distribute NVIDIA CUDA in the Ubuntu repositories, making it easier for developers to install with ...

Tech companies are racing to capture the loyalty of college students through comprehensive AI-driven educational programs and ...

It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go ...

Nvidia is known for its high-quality GPUs. Originally used for gaming, GPUs later caught on with crypto miners because of ...

The infrastructure gap is particularly pronounced in tier-2 and tier-3 cities, where many engineering colleges operate with limited resources. This regional disparity could exacerbate existing ...

JavaScript is a sprawling and ever-changing behemoth, and may be the single-most connective piece of web technology. From AI ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

OpenAI study has highlighted how people are using ChatGPT, with 73% conversations being non-work related as of July 2025 ...

Next year’s Java release is slated to include a performance boost for the G1 garbage collector and opt-in support for HTTP/3.

Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.