Bolt Graphics is pressing ahead with its plan to challenge Nvidia and AMD by building a graphics processor around a RISC-V ...

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

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 ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum computing with AI and machine learning. Quantum Circuits announced that its dual ...

The 1970 AAR 'Cuda was a very rare machine. It was made only for the 1970 model year, with a total production of 2,724. The car's namesake was the AAR (All American Racing) Plymouth Barracudas that ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

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 ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...