Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

Containers move fast. They're created and removed in seconds, but the vulnerabilities they introduce can stick around. Learn 5 core practices to help engineering and security teams manage container ...

Abstract: Popular deep learning frameworks like PyTorch utilize GPUs heavily for training, and suffer from out-of-memory (OOM) problems if memory is not managed properly. In this paper, we propose a ...

Stanford researchers have shown that AI models can now write CUDA code that runs faster than PyTorch's built-in functions in several tests. The team got better results by letting the AI try out many ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

Evan Williams is an automotive journalist and mechanical engineering technologist with more than a decade of experience in the industry. He has written for the Toronto Star and AutoTrader Canada and ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

Analysis Nvidia is facing its stiffest competition in years with new accelerators from Intel and AMD that challenge its best chips on memory capacity, performance, and price. However, it's not enough ...