NVIDIA TensorRT-LLM Multiblock Attention Boosts Throughput by More Than 3x for Long Sequence Lengths on NVIDIA HGX H200 – 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/ Amr Elmeleegy <![CDATA[NVIDIA TensorRT-LLM Multiblock Attention Boosts Throughput by More Than 3x for Long Sequence Lengths on NVIDIA HGX H200]]> http://www.open-lab.net/blog/?p=92591 2024-12-12T19:47:20Z 2024-11-22T00:53:18Z Generative AI models are advancing rapidly. Every generation of models comes with a larger number of parameters and longer context windows. The Llama 2 series...]]> Generative AI models are advancing rapidly. Every generation of models comes with a larger number of parameters and longer context windows. The Llama 2 series...Image of an HGX H200

Generative AI models are advancing rapidly. Every generation of models comes with a larger number of parameters and longer context windows. The Llama 2 series of models introduced in July 2023 had a context length of 4K tokens, and the Llama 3.1 models, introduced only a year later, dramatically expanded that to 128K tokens. While long context lengths allow models to perform cognitive tasks��

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