Although Nvidia GPUs no longer run in Macs, Apple's MLX will soon be running there too. This makes interesting ports possible.

Nvidia’s Omniverse, Blackwell chips, and AI factories fuel massive growth, with strong margins and an unmatched ecosystem ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

User experience (UX) is the key to increased productivity by enhancing the usability and interactivity of the product. Machine learning (ML) solutions have raised user and academic awareness of ...

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

Apple backs a project to add Nvidia CUDA support to its MLX framework, enabling a cost-effective 'develop on Mac, deploy on ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...