Making AI-driven chip design affordable with open agent factories and distributed inference at scale
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Peter Hess
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416 results for AI
Making AI-driven chip design affordable with open agent factories and distributed inference at scale
NewsPeter HessHow distributed inference keeps large AI models moving
ExplainerPeter Hess- Focus Area
Demonstrating a theoretical separation between quantum computers and large language models
ResearchSrinivasan Arunachalam, Arkopal Dutt, Hari Krovi, Rik Sengupta, and Ryan MandelbaumA rough guide for going back to the Moon
ReleaseKim Martineau- Accelerated Discovery
- AI
- Algorithms
How llm-d makes the most of the hardware you already have
NewsPeter HessGranite 4.2 brings native reasoning to enterprise agents
ReleaseMike Murphy and Kim MartineauIntroducing DocLang, a markup language for AI
NewsKim MartineauFrom vision to reality: a unified neural solver for the power grid
ReleasePeter HessBringing a common language to AI evaluation
NewsKim MartineauIBM is committing up to $50 million worth of quantum compute access for the US Genesis Mission, and more
NewsIBM open sources CodeAlchemy, a massive synthetic dataset of high-quality code
ReleaseKim MartineauReplacing the ‘bones’ of transformer-based models
ResearchPeter HessHow the wrong training environment can teach AI models to misbehave
ResearchPeter HessHow to run AI workloads on mixed GPUs quickly and affordably
NewsKim Martineau
