Achieving High Mixtral 8x7B Performance with NVIDIA H100 Tensor Core GPUs and NVIDIA TensorRT-LLM – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-26T02:39:18Z http://www.open-lab.net/blog/feed/ Ashraf Eassa <![CDATA[Achieving High Mixtral 8x7B Performance with NVIDIA H100 Tensor Core GPUs and NVIDIA TensorRT-LLM]]> http://www.open-lab.net/blog/?p=84749 2024-08-07T23:50:14Z 2024-07-02T18:00:00Z As large language models (LLMs) continue to grow in size and complexity, the performance requirements for serving them quickly and cost-effectively continue to...]]> As large language models (LLMs) continue to grow in size and complexity, the performance requirements for serving them quickly and cost-effectively continue to...

As large language models (LLMs) continue to grow in size and complexity, the performance requirements for serving them quickly and cost-effectively continue to grow. Delivering high LLM inference performance requires an efficient parallel computing architecture and a flexible and highly optimized software stack. Recently, NVIDIA Hopper GPUs running NVIDIA TensorRT-LLM inference software set��

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