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Practical Strategies for Optimizing LLM Inference Sizing and Performance

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As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of…

As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of scaling and optimizing inference systems to make informed decisions about hardware and resources for LLM inference. In the following talk, Dmitry Mironov and Sergio Perez, senior deep learning solutions architects at NVIDIA…

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Source:: NVIDIA

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