IBM demonstrates extreme scale for content-aware storage with a 100-billion vector database
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Peter Hess
AI Hardware
The world is generating reams of data each day, and the AI systems built to make sense of it all constantly need faster and more robust hardware. We’re developing new devices and architectures to support the tremendous processing power AI requires to realize its full potential.
Our work
Building PyTorch-native support for the IBM Spyre Accelerator
Technical noteViji Srinivasan, Raghu Ganti, Mudhakar Srivatsa, Elpida Tzortzatos, Tabari Alexander, and Vaidyanathan SrinivasanLifting the cover on the IBM Spyre Accelerator
Technical noteJeffrey BurnsIt takes a village to make open infrastructure for AI a reality
NewsPeter HessExpanding AI model training and inference for the open-source community
NewsPeter HessBuilding the IBM Spyre Accelerator
ReleasePeter Hess- See more of our work on AI Hardware
Projects
Neuro-inspired AI to optimize learning and computing efficiency of next generation AI.
Analog AI: A New Design Paradigm
At IBM Research we’re developing a new class of Analog AI hardware, purpose built to help innovators realize the promise of the next stages of AI. Journey inside this unique architecture.
Publications
Advanced Acoustic Emission (AE) Sensing and Analytics Scheme for In-situ Warpage Characterizations of Flip-Chip Packaging
- Yigit Turan
- Xinchen Wang
- et al.
- 2026
- ECTC 2026
PosterUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paperEnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
- Kyungmi Lee
- Zhiye Song
- et al.
- 2026
- ISPASS 2026
Conference paperA 1.92μm Pitch Current-Controlled Oscillator ADC Array Featuring Charge-Injection-Based Two-Stage Conversion for In-Memory Computing
- David Iselin
- Kyeongwon Jeong
- et al.
- 2026
- CICC 2026
Conference paperA Scalable Oscillatory Neural Network Architecture Using Analog Resistive Memory for Coupling Elements
- Wooseok Choi
- Thomas Van Bodegraven
- et al.
- 2026
- MATSUS 2026
Invited talkEliminating Redundancy: Ultra-compact Code Generation for Programmable Dataflow Accelerators
- Prasanth Chatarasi
- Alex Gatea
- et al.
- 2026
- CGO 2026
Conference paper
AI Hardware Center
The IBM Research AI Hardware Center is a global research collaboration hub dedicated to creating the next generation of systems and chips for AI workloads, as well as expanding joint research efforts across technology, architecture, and algorithms.
Explore the center