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Provisioning an Auto-Scaling, On-Premises AI & Data Platform for NASA Scientists

A deployment team extended the open-source Nebari platform to support K3s and non-cloud, air-gapped installations for NASA Langley Research Center (LaRC) and the SAGE III project, contributing the core changes back upstream. The build used QEMU/LibVirt virtualization with dedicated GPU pass-through for NVIDIA V100 and A100 cards and achieved dynamic load balancing across a 3-server cluster with zero clustering overhead for end-users. Because external access to NASA hardware and networking is prohibited, all deployment work was pre-scripted or performed via paired sysadmin sessions.

by read1 min views1 publishedNov 5, 2026

Client: NASA LaRC & SAGE III project

The new platform also needed to work in an air-gapped environment within security constraints. External access to NASA hardware and networking is strictly prohibited, which requires all deployment work to be pre-scripted or performed via paired sysadmin sessions

The Nebari platform provided the key features like reproducible and governable software environments, role-based-access-control to all resources, and observability.

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Extended the open-source Nebari codebase to support K3s and non-cloud deployments, contributing core improvements back to the upstream codebase.

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Guided NASA system administrators through setting up open-source virtualization (QEMU/LibVirt) with dedicated GPU pass-through (NVIDIA V100 & A100) for high-performance workloads.

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Achieved dynamic load balancing across a 3-server cluster with zero clustering overhead for end-users.

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