llm-d 1.0 hardens open-source AI inference for day 2 production operations
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Peter Hess
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422 results for AI
IBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
NewsPeter HessIBM Research and ETH Zurich open a new era of innovation
Q & AKim MartineauIBM’s newest time-series models cover a full range of enterprise prediction tasks
Technical notePankaj Dayama, Vijay Ekambaram, Wesley Gifford, Lars Graf, Thomas Ortner, Angeliki Pantazi, Chandra Reddy, and Roman VaculinToward a transparent supply chain for AI
NewsKim MartineauDonating llm-d to the Cloud Native Computing Foundation
NewsPeter HessTurning turbulence into transcripts
NewsMike MurphyBuilding PyTorch-native support for the IBM Spyre Accelerator
Technical noteViji Srinivasan, Raghu Ganti, Mudhakar Srivatsa, Elpida Tzortzatos, Tabari Alexander, and Vaidyanathan SrinivasanTerraStackAI: Bringing Earth and space AI to Red Hat and the world
Technical noteCampbell Watson, Charles Wachira, Rosie Lickorish, Romeo Kienzler, Blair Edwards, and Michael JohnstonLifting the cover on the IBM Spyre Accelerator
Technical noteJeffrey BurnsHow IBM Granite became a leader in responsible AI
ExplainerKim MartineauAI for seeing the forest — and the trees
NewsKim MartineauMeet the IBM researchers trying to raise AI’s intelligence-per-watt ratio
Q & AKim MartineauLLMs have model cards. Now, benchmarks do, too
ReleaseKim MartineauBoost your tools: Introducing ToolOps, the tool lifecycle extension in ALTK
Technical noteHimanshu Gupta, Jim Laredo, Neelamadhav Gantayat, Jayachandu Bandlamudi, Prerna Agarwal, Sameep Mehta, Renuka Sindhgatta, Ritwik Chaudhuri, and Rohith VallamIBM Granite tops Stanford’s list as the world’s most transparent model
NewsPeter HessTeams of agents can take the headaches — and potential costs — out of finding IT bugs
ReleaseMike Murphy
