Arun Raman – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-23T00:01:08Z http://www.open-lab.net/blog/feed/ Arun Raman <![CDATA[Deploying the NVIDIA AI Blueprint for Cost-Efficient LLM Routing]]> http://www.open-lab.net/blog/?p=98006 2025-04-23T00:01:08Z 2025-03-26T22:01:20Z Since the release of ChatGPT in November 2022, the capabilities of large language models (LLMs) have surged, and the number of available models has grown...]]>

Since the release of ChatGPT in November 2022, the capabilities of large language models (LLMs) have surged, and the number of available models has grown exponentially. With this expansion, LLMs now vary widely in cost, performance, and specialization. For example, straightforward tasks like text summarization can be efficiently handled by smaller, general-purpose models. In contrast…

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]]> Arun Raman <![CDATA[Identifying the Best AI Model Serving Configurations at Scale with NVIDIA Triton Model Analyzer]]> http://www.open-lab.net/blog/?p=48131 2023-06-12T09:34:50Z 2022-05-23T23:56:01Z Model deployment is a key phase of the machine learning lifecycle where a trained model is integrated into the existing application ecosystem. This tends to be...]]>

Join the NVIDIA Triton and NVIDIA TensorRT community to stay current on the latest product updates, bug fixes, content, best practices, and more. Model deployment is a key phase of the machine learning lifecycle where a trained model is integrated into the existing application ecosystem. This tends to be one of the most cumbersome steps where various application and ecosystem constraints…

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