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Timur Abishev

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  • Feb 22, 2024 | baseten.co | Pankaj Gupta |Philip Kiely |Justin Yi |Timur Abishev

    Using NVIDIA TensorRT, we were able to improve SDXL inference latency by 40% and throughput by 70% on NVIDIA H100 Tensor Core GPUs. We achieved these performance gains by individually optimizing each component in the SDXL image generation pipeline. Performance gains are greater for higher step counts and more powerful GPUs, and the techniques used can be applied to similar image generation pipelines, including SDXL Turbo.

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