Boosting Llama 3.1 405B Throughput by Another 1.5x on NVIDIA H200 Tensor Core GPUs and NVLink Switch – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-23T19:27:29Z http://www.open-lab.net/blog/feed/ Nick Comly <![CDATA[Boosting Llama 3.1 405B Throughput by Another 1.5x on NVIDIA H200 Tensor Core GPUs and NVLink Switch]]> http://www.open-lab.net/blog/?p=90040 2024-11-22T23:12:12Z 2024-10-09T15:00:00Z The continued growth of LLMs capability, fueled by increasing parameter counts and support for longer contexts, has led to their usage in a wide variety of...]]> The continued growth of LLMs capability, fueled by increasing parameter counts and support for longer contexts, has led to their usage in a wide variety of...

The continued growth of LLMs capability, fueled by increasing parameter counts and support for longer contexts, has led to their usage in a wide variety of applications, each with diverse deployment requirements. For example, a chatbot supports a small number of users at very low latencies for good interactivity. Meanwhile, synthetic data generation requires high throughput to process many items��

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