AI Alliance Projects Participating in the NAIRR Pilot Program
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Overview
The AI Alliance is focused on fostering an open community and enabling developers and researchers to accelerate responsible innovation in AI while ensuring scientific rigor, trust, safety, security, diversity and economic competitiveness. We bring together a critical mass of compute, data, tools, and talent to accelerate and advocate for open innovation in AI.
What is NAIRR Pilot? The National Artificial Intelligence Research Resource (NAIRR) is a vision for a shared national research infrastructure for responsible discovery and innovation in AI. Established by the National AI Initiative Act of 2020, the NAIRR Task Force was a federal advisory committee to
- Investigate the feasibility and advisability of establishing and sustaining a National AI Research Resource
- Propose a roadmap and implementation plan detailing how the resource should be established and sustained
In January 2023, the Task Force released a detailed report on its findings and recommendations. The NAIRR pilot brings together computational, data, software, model, training and user support resources to demonstrate and investigate all major elements of the vision laid out by the NAIRR Task Force. Led by the U.S. National Science Foundation (NSF) in partnership with other federal agencies and non-governmental partners, the pilot makes available government-funded, industry and other contributed resources in support of the nation’s research and education community. The NAIRR pilot will run for two years, beginning January 24, 2024. There is currently a bill in the US Congress to establish NAIRR with its full intended scope.
AI Alliance-NAIRR-Pilot Projects. Consistent with its mission,the AI Alliance has brought together three of its members, Mass Open Cloud, Red Hat and IBM Research to participate in the NAIRR Pilot Deep Partnership program. Our goals are to
- Provide computing resources and open-source AI assets to NAIRR pilot researchers and educators to advance science and education.
- Promote open collaboration in developing and deploying AI in society.
Description of resources for NAIRR Pilot projects
Mass Open Cloud
Mass Open Cloud provides facilitation support for users and projects, with integration and development support for those who are new to AI/ML and kubernetes-style resource management. The MOC operates a production Red Hat/OpenShift cloud and also provides bare-metal servers for research and development use. All operations software is open source, so experimenters can have access to the lowest levels of the software stack as needed. Telemetry is also stored and provided to all researchers. Power consumption statistics for the infrastructure are also available on request for those who are researching sustainability. More details on the MOC usage can be found here.
Red Hat AI Open Cloud Software Stack
The software stack includes Red Hat Enterprise Linux (RHEL) and OpenShift AI for enterprise application development. This environment provides tools across the full lifecycle of AI/ML experiments and models and helps build, train, test, and deploy models optimized for hybrid cloud environments.
IBM Research Open Source Tools & Models
There will be two tracks of submission for project proposals: Track 1: Core AI Projects and Track 2: AI for Science Projects. The assets for ‘Core AI projects’ track are described here and the assets for the ‘AI for Science’ track are described here. In either track, the proposal can have research or educational goals. The authors should explain how they would use one or more of the assets mentioned for either track to address their goal(s). Authors are encouraged to bring components from other open source libraries into their proposal for innnovative extensions.