What changed in the latest CUDA version, I was wondering. I guess there are some performance improvements and new features added. How does this technology make a difference for those who don't use CUDA in general? Do you think these innovations are really important or just minor tweaks in your opinion? Everyone's view is valuable to me, I want to learn.
What's new in NVIDIA's latest CUDA version?
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I've been testing the latest CUDA version for a rendering project, and the jump from 11.x to 12.x is noticeable. Especially in tensor handling and integration with PyTorch/TensorFlow, since before I had to jump through hoops to optimize the kernels. The most useful feature for me was the new "CUDA Graphs," which reduced overhead by 30% in real-time inference pipelines. That said, the learning curve is still steep if you're coming from OpenCL.