Boosting Llama 3.1 405B Performance up to 1.44x with NVIDIA TensorRT Model Optimizer on NVIDIA H200 GPUs – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-11T15:00:00Z http://www.open-lab.net/blog/feed/ Anjali Shah <![CDATA[Boosting Llama 3.1 405B Performance up to 1.44x with NVIDIA TensorRT Model Optimizer on NVIDIA H200 GPUs]]> http://www.open-lab.net/blog/?p=88017 2024-11-14T15:58:41Z 2024-08-28T19:30:00Z The Llama 3.1 405B large language model (LLM), developed by Meta, is an open-source community model that delivers state-of-the-art performance and supports a...]]> The Llama 3.1 405B large language model (LLM), developed by Meta, is an open-source community model that delivers state-of-the-art performance and supports a...

The Llama 3.1 405B large language model (LLM), developed by Meta, is an open-source community model that delivers state-of-the-art performance and supports a variety of use cases. With 405 billion parameters and support for context lengths of up to 128K tokens, Llama 3.1 405B is also one of the most demanding LLMs to run. To deliver both low latency to optimize the user experience and high��

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