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
Bringing cloud-native AI supercomputing to a data center near you
Technical noteTalia Gershon, Yoonho Park, Nicole Saulnier, Daniel Klyashtorny, Jamey Roe, and Edward BarthThe chips of tomorrow may well take inspiration from the architecture of our brains
ExplainerPeter HessNew algorithms open possibilities for training AI models on analog chips
ResearchPeter HessFor LLMs, IBM’s NorthPole chip overcomes the tradeoff between speed and efficiency
ResearchPeter HessEnhancing enterprise AI with the IBM Spyre Accelerator
NewsMike MurphyIBM, Canada, and Quebec are partnering to secure the future of chipmaking in North America
NewsMike Murphy- 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
- MRS Fall Meeting 2024
- 2024
- MRS Fall Meeting 2024
- Gentiana Rashiti
- Kumudu Geethan Karunaratne
- et al.
- 2024
- ECAI 2024
- Manuel Le Gallo
- Oscar Hrynkevych
- et al.
- 2024
- npj Unconv. Comput.
- Resource As You Wish: Collaborative Reservation and Allocation by Scheduler Plugin and Device Plugin
- 2024
- KubeDay Japan 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