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.
- Deep Dive
- See more of our work on AI Hardware
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 →
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.
- SISC 2022
- EMNLP 2022
- Neural Computing and Applications
- IEDM 2022
- In-memory computing accelerator architectures for throughput-critical and resource-constrained systems
- MEMRISYS 2022
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.