NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

The Plymouth Cuda is undeniably one of the most desirable Mopars from the golden era. And unsurprisingly, Mecum's Kissimmee 2026 brings nearly 20 examples under the hammer. The spotlight is obviously ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

AMD is hoping to win over artificial intelligence (AI) developers in Asia-Pacific with its open software ecosystem and help the region compete on a global stage without relying on proprietary AI ...

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...

In the AI era, competition among chipmakers goes beyond compute power and centers on ecosystem and full-stack integration. Beijing-based Cambricon Technologies, an AI chip designer affiliated with the ...

IBM Corp.’s Red Hat subsidiary today announced a series of updates intended to simplify and secure the deployment of artificial intelligence workloads across commercial, government and hybrid cloud ...

Welcome to the Pillars of AI Application Libraries: How to Install Tutorial! 🤖 Are you ready to embark on a journey of installing AI libraries and applications with ease? 💻 In this video, we'll ...

In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in the transition to the next era of computing. Just as Intel Corp. had a lock ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

The company said they can now embed CUDA into their package feeds, which will simplify installation and dependency resolution. “It’s particularly beneficial for incorporating GPU support into complex ...