NVIDIA announced semiconductor leaders are adopting NVIDIA CUDA-X libraries — including the new NVIDIA cuPotential library, ...

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...

The libraries support chip simulation, inspection, testing and fab automation using GPU-accelerated tools and AI models.

QXL's decoder leverages CUDA-Q QEC to manage to cutt logical errors by 12–13% on Google Quantum Hardware Data, in both standard and real-time ...

ZLUDA has made massive headlines in the past with their "code porting" library, and while enablement did drop the past few months, it looks like the developers are geared up once again. ZLUDA Might ...

Quantum X Labs Inc. announced a key milestone: its quantum error-correction (QEC) decoder is now deployed and running on NVIDIA CUDA-Q, the open platform for hybrid quantum-classical supercomputing.

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NVIDIA said semiconductor leaders are adopting CUDA-X libraries, including cuPotential, to support AI agents for chip design and manufacturing.

Nvidia has released a new mathematical Python library specialized for Cuda-X. It offers direct, Python-like access to the mathematical core operations of Cuda-X without having to use additional C/C++ ...

Originally, ZLUDA was designed to support Intel GPUs on NVIDIA's software stack, but eventually, AMD took care of the project and, together with multiple developers, molded it in a way that allowed ...