Yoonho Park

Jay Jubran

Eran Gampel

Drew Thorstensen

Christian Pinto

Michele Gazzetti

Michael Johnston

Nicole Saulnier

Daniel Klyashtorny

Jamey Roe

Edward Barth

Talia Gershon

Seetharami Seelam

Erez Hadad

Mike Murphy

News

Research

Technical note

Release

Why we built an AI supercomputer in the cloud

Composable systems with OpenShift

A new chip architecture points to faster, more energy-efficient AI

How IBM Research is creating the future of hybrid cloud

Cars “see around corners” in EU’s CLASS project

Reinventing data preparation on cloud to scale enterprise AI

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

Semi­conductors

HPCA 2025

Cloud Native + Kubernetes AI Day 2025

ECTC 2025

ASPLOS 2025

ICS 2025

Hybrid Cloud

Foundation Models

Hybrid Cloud Platform

Scaling AI

Hybrid Cloud Infrastructure

AI Hardware

We’re working on building the most secure cloud infrastructure platforms. Our research focuses on ensuring the integrity of everything in the stack, reducing the attack surface of cloud systems, and advancing the use of confidential computing and hardware security modules.

Cloud Security

Advancing the system integrity of cloud systems in mission-critical situations.

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

The hybrid cloud can help businesses tap into the potential of the cloud, while retaining the benefits of private environments. At IBM Research, we’re pursuing open-source standards and code to create an agile and scalable platform that can be deployed anywhere.

IBM's AIU NorthPole research prototype chip

trippy animated graphic of overlapping blue squares shrinking as they spiral on a black towards a central point

Hybrid Cloud Infrastructure

Our work

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

Reinventing data preparation on cloud to scale enterprise AI

A new chip architecture points to faster, more energy-efficient AI

Composable systems with OpenShift

Why we built an AI supercomputer in the cloud

Cars “see around corners” in EU’s CLASS project

Publications

Page Migration for Hardware Memory Disaggregation Across a Network

Characterization of Interfacial Fracture Strength in Hybrid Bonded Wafers: A Novel Approach for High-Resolution Spatial Profiling

Effective cluster management for large scale AI and GPUs: Challenges and opportunities

Vela: A Virtualized LLM Training System with GPU Direct and RoCE

Enterprise Class Modular Cache Hierarchy

Workshop on Data Integrity and Secure Cloud Computing (DISCC)

Related topics