Red Hat Research Quarterly

Insights into people and projects that bring universities, government organizations, and industry partners together to share outcomes with open source communities.

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Research Projects With Open Source Impact

From unikernels to privacy-preserving AI to usable security, Red Hat Research projects help open source communities innovate.

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Collaborate with Red Hat Research on the Mass Open Cloud

The Mass Open Cloud makes essential compute resources for AI-enabled research and development widely accessible through the power of open source. Connect with researchers, educators, and innovators to experiment freely and evolve quickly.

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Research Areas

Our engineers collaborate with researchers and students at university partners to identify and execute strategic AI-focused research projects.

AI/ML

Cloud/DS

Hardware/Co-Design

Security, Privacy, Cryptography

Testing and Ops

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Featured articles

CODECO: a deeper dive into the novel edge-cloud framework

Blog, Europe

CODECO stands for Cognitive Decentralized Edge to Cloud Orchestration. The open source software framework, pluggable to Kubernetes, aims to improve the energy efficiency and robustness of edge-cloud infrastructure by improving application deployment and runtime. by...

Finding the next breakthrough: AI efficiency research from one of the world’s top optimization labs

RHRQ

Nir Shavitz interviews ISTA professor Dan Alistarh on quantization, sparsity, and the next frontiers in efficiency research.

News

Red Hat-IBM Research announce the selection of NAIRR Deep Partnership projects

Red Hat Research, the Mass Open Cloud (MOC), and IBM Research launched a new collaborative effort with eight US university research projects to advance the National Science Foundation’s National AI Research Resource (NAIRR) Deep Partnership Program. As members of...

Open foundation models are a focus of symposium on AI-powered drug discovery

Drug discovery is a complex process that takes an average of 10-15 years and demands substantial resources. Accelerating life sciences research progress with AI can save more lives and cut costs, and developing that technology will happen more quickly and safely in...

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RHRQ Spring 2026 cover with Dan Alistarh

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