Because of the nation’s diversity, the chipmaker has devised a new strategy for growth that doesn’t rely only on GPUs.

When it comes to hot rods, sometimes it’s the engine that makes the car legendary even more so than the classic bodylines. Such is the case with the iconic Hemi powered ’Cudas of the late ’60s and ...

Apple has long built its brand around a tightly integrated hardware and services ecosystem. In AI and high-performance computing (HPC), however, the platform has been limited by the absence of support ...

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 ...

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 ...

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 ...