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
How IBM Research helped prepare the IBM z17 for tomorrow’s workloads
NewsPeter HessWhy a decades old architecture decision is impeding the power of AI computing
ExplainerPeter HessHow analog in-memory computing could power the AI models of tomorrow
ResearchPeter HessHow John Knickerbocker spent a career cultivating new technologies
Deep DivePeter HessHow low-precision computing boosts efficiency — without hurting accuracy
ExplainerPeter HessInside the lab testing some of the world’s most capable AI chips
Deep DiveMike Murphy- 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
Hardware Implementation of Ring Oscillator Networks Coupled by BEOL Integrated ReRAM for Associative Memory Tasks
- Wooseok Choi
- Thomas Van Bodegraven
- et al.
- 2025
- IMW 2025
MEADOW: MEMORY-EFFICIENT DATAFLOW AND DATA PACKING FOR LOW POWER EDGE LLMS
- Abhishek Moitra
- Arkapravo Ghosh
- et al.
- 2025
- MLSYS 2025
NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators
- Yayue Hou
- Sidney Tsai
- et al.
- 2025
- DATE 2025
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles
- Corey Liam Lammie
- Yuxuan Wang
- et al.
- 2025
- IEEE TETC
Enterprise Class Modular Cache Hierarchy
- Craig Walters
- Deanna Berger
- et al.
- 2025
- HPCA 2025
Workshop on Data Integrity and Secure Cloud Computing (DISCC)
- Pradip Bose
- Augusto Vega
- et al.
- 2025
- HPCA 2025
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.