Cuda Release News Exclusive Now

The transition from CUDA 11 to CUDA 12 was the most significant architectural leap in recent years, and the recent point releases (12.4, 12.5, 12.6) have solidified this.

@cuda.kernel def vec_add(a, b, c): idx = cuda.thread_idx.x + cuda.block_idx.x * cuda.block_dim.x if idx < a.size: c[idx] = a[idx] + b[idx] cuda release news

NVIDIA has announced the release of CUDA 11.8, a significant update to its popular parallel computing platform and programming model for NVIDIA GPUs. This latest version brings a host of new features, improvements, and enhancements that promise to accelerate a wide range of applications, from artificial intelligence and deep learning to scientific simulations and data analytics. The transition from CUDA 11 to CUDA 12

The updates and improvements in CUDA 11.8 have significant implications for various industries and applications, including: The updates and improvements in CUDA 11

Have you hit a weird migration bug? Found a hidden perf win? Tag me on the NVIDIA Dev Forum – let’s compare notes.

A recurring theme in CUDA news is the acknowledgement of AMD’s ROCm and Intel’s OneAPI. While NVIDIA keeps CUDA proprietary, they have opened the surrounding ecosystem.