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
New 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 MurphyThe future of AI research comes to Albany
NewsMike MurphySupercharging IBM’s cloud-native AI supercomputer
NewsTalia Gershon, Bengi Karacali-Akyamac, Seetharami Seelam, Drew Thorstensen, and Rohit Badlaney- 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
- Gentiana Rashiti
- Kumudu Geethan Karunaratne
- et al.
- 2024
- ECAI 2024
- Resource As You Wish: Collaborative Reservation and Allocation by Scheduler Plugin and Device Plugin
- 2024
- KubeDay Japan 2024
- Hadjer Benmeziane
- Imane Hamzaoui
- et al.
- 2024
- IJCAI 2024
- Mohammed Nowaz Rabbani Chowdhury
- Meng Wang
- et al.
- 2024
- ICML 2024
- Revanth Kodoru
- Atanu Saha
- et al.
- 2024
- arXiv
- Apoorve Mohan
- Mengmei Ye
- et al.
- 2024
- CLOUD 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