Scaling AI-driven chip design with open agent factories
Open models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5× lower inference cost than an all-proprietary configuration.
IBM Research Blog7 min read
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Open models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5× lower inference cost than an all-proprietary configuration.
Distributed inference serving is an air traffic control tower for AI traffic, and agentic workflows make it more necessary than ever.
IBM’s new open Granite models are designed for agentic AI, combining reasoning, tool use, coding, instruction following, and speech capabilities.
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