Mecum's Kissimmee 2026 auction saw more than a dozen Hemi-equipped Mopars go under the hammer. The most anticipated car, a 1971 Plymouth Hemi Cuda Convertible, just changed hands for a whopping $3.3 ...

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 ...

AMD has shared details regarding ROCm's latest update, version 7.2. The company has explained performance improvements and more. Alongside new hardware launches of the Ryzen AI 400 series, Ryzen ...

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 ...

The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...

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 ...

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 ...

Hello! I am the CUDA Python tech lead and I'm filing this RFC to improve the interoperability between Python GPU libraries. For existing Python projects such as PyTorch, transitioning to cuda.core may ...

The big picture: Nvidia has long been developing an AI PC processor that combines Arm CPU cores with Blackwell GPU architecture. The chip has now appeared on the Geekbench database for at least the ...

In a pragmatic move that bridges two historically rivalrous ecosystems, Apple is sponsoring a project to link its MLX machine learning framework directly to Nvidia’s dominant CUDA platform. The ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

For many years, CuPy has been the one-stop shop for using NVIDIA CUDA GPUs in Python. It provides many functionalities, way beyond what’s publicly known (“NumPy/SciPy for GPUs”), for example Python ...