llm-d 1.0 hardens open-source AI inference for day 2 production operations
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Peter Hess
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llm-d 1.0 hardens open-source AI inference for day 2 production operations
ReleasePeter HessPreparing chip designers for the nanostack era
ReleasePeter HessMaking AI-driven chip design affordable with open agent factories and distributed inference at scale
NewsPeter HessHow distributed inference keeps large AI models moving
ExplainerPeter HessWhy are silicon wafers round?
ExplainerPeter HessHow llm-d makes the most of the hardware you already have
NewsPeter HessFrom vision to reality: a unified neural solver for the power grid
ReleasePeter HessReplacing the ‘bones’ of transformer-based models
ResearchPeter HessHow the wrong training environment can teach AI models to misbehave
ResearchPeter HessWhat is a nanostack? Building a chip like a city
ExplainerPeter HessThe fast Fourier transform, how and why it works
ExplainerPeter Hess- Algorithms
- Mathematical Sciences
The future of quantum takes center stage at NY Tech Week
NewsPeter HessHow IBM is using quantum computing to understand the operating system of the universe
NewsPeter HessHow to use sample-based quantum diagonalization on IBM hardware
ExplainerPeter HessBuilding the future of computing, together
NewsPeter HessIBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
NewsPeter Hess
