IBM-backed llm-d 1.0 adds controls for in‑house AI model inference
Original headline: IBM-backed llm-d framework adds controls for running AI models in-house
IBM Corp. and several contributors released version 1.0 of the open‑source llm-d distributed inference framework, adding operational controls that let enterprises run large models reliably on their own infrastructure. The announcement was made ahead of the PyTorch Conference North America in San Jose.
Enterprises can run large AI models on their own infrastructure without relying on cloud services.
Research angleHow does adopting a distributed AI inference framework affect firms' perceived data security? — Protection Motivation Theory
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