Cuda News Today Portable

The source code is now available on GitHub, along with CMake build scripts that remove dependencies on proprietary NVHPC compilers (though performance still benefits from NVIDIA’s closed‑source libcuda.so ). The move is seen as a direct response to growing grassroots use of oneAPI and AMD’s ROCm, aiming to lock in researchers by making CUDA the most transparent high‑performance ecosystem.

“We are not waiting for fault‑tolerant quantum computers to become useful,” said (NVIDIA’s director of HPC and quantum computing) in a prerecorded briefing. “With CUDA-Q 2.0, every existing CUDA developer can start hybrid computing today, using the QPUs as accelerators—just like GPUs.” cuda news today

While competitors attack from the outside, NVIDIA is fighting a battle on the inside regarding how AI is programmed. The big narrative today is the shift from writing raw CUDA C++ code to using . The source code is now available on GitHub,

In the CUDA 13.2 release , NVIDIA extended CUDA Tile support back to compute capability 8.x architectures. This instantly unlocks advanced tiling optimizations for widespread legacy deployments like NVIDIA Ampere and Ada Lovelace GPUs. “With CUDA-Q 2