IBM-backed llm-d framework adds controls for running AI models in-house

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IBM Corp. and several other contributors to the open-source llm-d project have announced the release of version 1.0 of their distributed artificial intelligence inference framework, adding operational controls intended to help enterprises run large models reliably on their own infrastructure.

This update, announced ahead of the PyTorch Conference North America in San Jose today and tomorrow, focuses on providing operational controls to help enterprises run large models reliably on their own infrastructure.

This update should enable enterprises to better control and manage their AI models, leading to improved quality and reliability of results.

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