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
Disentangling visual attributes with neuro-vector-symbolic architectures, in-memory computing, and device noise
Technical noteAbu Sebastian, Abbas Rahimi, and Geethan KarunaratneHow the future of computing might look like nothing before
NewsLeonid Leiva AriosaThe future of analog AI hardware
ResearchMike MurphyThe future of computer chips is being built in Albany
Deep DiveMike MurphyMeet the IBM Artificial Intelligence Unit
ReleaseJeffrey Burns and Leland ChangThe IBM Research innovations powering IBM z16
NewsDonna Dillenberger5 minute read- See more of our work on AI Hardware
Projects
Neuromorphic computing
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
- Ankur Agrawal
- Monodeep Kar
- et al.
- 2023
- VLSI Technology 2023
- 2023
- VLSI Technology 2023
- Nicolas Breil
- Byeong Chan Lee
- et al.
- 2023
- VLSI Technology 2023
- Griselda Bonilla
- 2023
- iTHERM 2023
- Prabudhya Roy Chowdhury
- Sathya Raghavan
- et al.
- 2023
- ECTC 2023
- Risa Miyazawa
- Hiroyuki Mori
- et al.
- 2023
- iTHERM 2023
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.
Tools + code
AI Hardware Composer
Run an AI algorithm where computation and storage coexist on a single chip.
View project →IBM Analog Hardware Acceleration Kit
An open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence.
View project →
