Generative AI is revolutionizing digital content creation, requiring increasingly sophisticated AI models that demand more VRAM—like Stable Diffusion 3.5 Large, which needs over 18 GB. To combat this, NVIDIA and Stability AI have implemented FP8 quantization, reducing VRAM usage by 40%. This allows multiple NVIDIA GeForce RTX 50 Series GPUs to run the model, enhancing efficiency for creators. TensorRT further optimizes performance; it accelerates SD3.5 Large by 2.3x compared to BF16 PyTorch while halving memory requirements. This improvement means faster image generation without sacrificing quality. The optimized models are available on Stability AI’s Hugging Face page, and NVIDIA has released TensorRT for RTX as a standalone SDK, improving on-device engine creation significantly. Developers can now easily integrate this streamlined solution to enhance their applications. Join NVIDIA at GTC Paris for insights into breakthroughs in AI infrastructure and technology.
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