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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140 results for Semiconductors
A new IBM Research specialization teaches how AI models run on modern accelerators
Technical noteKaoutar El MaghraouiPreparing chip designers for the nanostack era
ReleasePeter Hess- Focus Area
Making AI-driven chip design affordable with open agent factories and distributed inference at scale
NewsPeter HessWhy are silicon wafers round?
ExplainerPeter HessWhat is a nanostack? Building a chip like a city
ExplainerPeter HessIntroducing the first sub-1 nanometer node chip — the smallest, most powerful chip technology in the world
NewsMike MurphyHow to run AI workloads on mixed GPUs quickly and affordably
NewsKim MartineauBringing quantum-centric supercomputing to Illinois
Q & AKim MartineauIBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
NewsPeter HessBuilding PyTorch-native support for the IBM Spyre Accelerator
Technical noteViji Srinivasan, Raghu Ganti, Mudhakar Srivatsa, Elpida Tzortzatos, Tabari Alexander, and Vaidyanathan SrinivasanIBM demonstrates High NA EUV process capability on track for insertion below 2 nm nodes at SPIE 2026
Technical noteLuciana MeliLifting the cover on the IBM Spyre Accelerator
Technical noteJeffrey BurnsA glimpse at computing’s quantum-centric future
ExplainerRyan Mandelbaum and Jerry ChowFrom atoms to chips: Thermonat models heat with unprecedented accuracy
NewsPeter Hess
