원문: https://blogs.nvidia.com/blog/2023/05/23/microsoft-build-nvidia-ai-windows-rtx/

At the Microsoft Build developer conference, NVIDIA and Microsoft today showcased a suite of advancements in Windows 11 PCs and workstations with NVIDIA RTX GPUs to meet the demands of generative AI.

라고는 되어있는데

드라이버들 운영체제 보면 윈10, 윈11 같이 적혀있더라

그리고 원문 글 자세히 읽어봤는데

Rapidly Optimize and Deploy Models

With trained models in hand, developers need to optimize and deploy AI for target devices.

Microsoft released the Microsoft Olive toolchain for optimization and conversion of PyTorch models to ONNX, enabling developers to automatically tap into GPU hardware acceleration such as RTX Tensor Cores. Developers can optimize models via Olive and ONNX, and deploy Tensor Core-accelerated models to PC or cloud. Microsoft continues to invest in making PyTorch and related tools and frameworks work seamlessly with WSL to provide the best AI model development experience.

Improved AI Performance, Power Efficiency

Once deployed, generative AI models demand incredible inference performance. RTX Tensor Cores deliver up to 1,400 Tensor TFLOPS for AI inferencing. Over the last year, NVIDIA has worked to improve DirectML performance to take full advantage of RTX hardware.

On May 24, we’ll release our latest optimizations in Release 532.03 drivers that combine with Olive-optimized models to deliver big boosts in AI performance. Using an Olive-optimized version of the Stable Diffusion text-to-image generator with the popular Automatic1111 distribution, performance is improved over 2x with the new driver.

내가 이해를 잘 한건가 모르겠는데

Olive-optimized version of the Stable Diffusion 을 사용했을 때 성능이 2배 향상이라는거잖아?

만약 우리가 쓰는 자동좌 SD webUI가 PyTorch models을 기반으로 한다면 해당 사항이 아닌것 같아

그럼 이 부분은 자동좌가 업데이트를 해줘야 성능향상이 된다는 이야기 같아

우리 딸각이들의 영역이 아닌것 같어

반박 시 여러분 말이 맞아요