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
Co-packaged optics deliver high-speed connectivity to supercharge generative AI computing
NewsPeter HessAccelerating discoveries with new AI tools, powerful chips — and turkey
ExplainerMike Murphy, Peter Hess, and Kim MartineauThe path to more powerful — and efficient — AI systems
NewsMike MurphyRapidly unlocking geospatial insights with IBM AI chips
NewsBethany Hill McCarthyCharting a path to a more sustainable AI future
ResearchMike MurphyBringing cloud-native AI supercomputing to a data center near you
Technical noteTalia Gershon, Yoonho Park, Nicole Saulnier, Daniel Klyashtorny, Jamey Roe, and Edward Barth- See more of our work on AI Hardware
Projects
Neuromorphic Computing
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
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
- 2024
- NeurIPS 2024
- Kumudu Geethan Karunaratne
- Michael Hersche
- et al.
- 2024
- NeurIPS 2024
- 2024
- NeurIPS 2024
- Saketh Ram Mamidala
- Davide Lombardo
- et al.
- 2024
- IEDM 2024
- Katsuyuki Sakuma
- Roy Yu
- et al.
- 2024
- IEDM 2024
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