Expanding AI model training and inference for the open-source community
News
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 the IBM Spyre Accelerator
ReleasePeter HessIBM researchers win prestigious European grants
NewsPeter Hess and Mike MurphyHow the IBM Research AI Hardware Center is building tomorrow’s processors
Deep DivePeter HessReimagining storage for the generative AI era
ResearchTalia Gershon, Mike Murphy, Swaminathan Sundararaman, Haris Pozidis, and Khanh NgoHow IBM Research helped prepare the IBM z17 for tomorrow’s workloads
NewsPeter 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
NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training
- Jinghan Huang
- Hyungyo Kim
- et al.
- 2025
- MICRO 2025
Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators
- Wooseok Choi
- Tommaso Stecconi
- et al.
- 2025
- Advanced Science
The NorthPole Validator: A Cycle-Accurate Simulator for HW/SW Codesign of a Prescheduled Neural Inference Accelerator
- Alexander Andreopoulos
- Michael Debole
- et al.
- 2025
- HPEC 2025
SSD controller architecture for similarity search in Vector DBs
- 2025
- FMS 2025
Deep learning software stacks for analogue in-memory computing-based accelerators
- Corey Liam Lammie
- Hadjer Benmeziane
- et al.
- 2025
- Nat. Rev. Electr. Eng.
DiReC: Enhancing VHDL Code Generation and Summarization with Divide-Retrieve-Conquer Strategy
- Prashanth Vijayaraghavan
- Apoorva Nitsure
- et al.
- 2025
- DAC 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.
Explore the center