Yoonho Park

Peter Hess

Nicole Saulnier

Daniel Klyashtorny

Jamey Roe

Edward Barth

Bethany Hill McCarthy

Talia Gershon

Mike Murphy

News

Research

Technical note

Explainer

For LLMs, IBM’s NorthPole chip overcomes the tradeoff between speed and efficiency

New algorithms open possibilities for training AI models on analog chips

The chips of tomorrow may well take inspiration from the architecture of our brains 

Bringing cloud-native AI supercomputing to a data center near you

Charting a path to a more sustainable AI future

Rapidly unlocking geospatial insights with IBM AI chips

The path to more powerful — and efficient — AI systems

We’re developing new devices and architectures to support the tremendous processing power AI requires to realize its full potential.

AI Hardware

Analog AI: A New Design Paradigm

AI Hardware Center

Semi­conductors

Neuro-inspired AI to optimize learning and computing efficiency of next generation AI.

Neuromorphic Computing

In-memory computing

NeurIPS 2024

MRS Fall Meeting 2024

Edge Computing

Neuro-symbolic AI

Generative AI

Exploratory Science

Physical Sciences

Computer Science

Hybrid Cloud Infrastructure

Hardware Technology

Semiconductors

Quantum

Climate and Sustainability

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.

AI has the potential to solve some of the biggest challenges facing myriad industries. At IBM Research, we’re working on semiconductor innovations for the hybrid cloud and AI — foundational hardware technology that we can use to build the next generation of chips to solve those challenges. 

Foundational Hardware Technology

The future of computing lies in the hybrid cloud. We're creating a hybrid data fabric that provides secure,  governed data access from anywhere, enables self-service discovery of the right data at the right time, and takes a holistic view at minimizing total cost of ownership for AI and analytics.

Data Management

We’re driving infrastructure innovations spanning physical infrastructure, operating systems, and software-defined compute, network, and storage. Our goal is to create technologies that improve performance, reliability, security, and ease of operation across hybrid and multi-cloud environments.

The hybrid cloud is creating new opportunities to transform the way scientific research is done. From access to high-performance infrastructure, to support for multi-cloud deployments and cloud-native technologies like containers and serverless computing, we're driving full-stack innovations to transform R&D.

Hybrid Cloud HPC

A 2U server blade containing NorthPole cards

An abstract image showing the connection between a digital system and an analog in-memory computing device.

A conceptual image of neuromorphic computing, showing a symmetrical mandala-like array of blue dots