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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
NASA · NASA-867 · record R0469

Space Grade Linux

National Aeronautics and Space Administration · GSFC: Goddard Space Flight Center

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Science
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Current methodologies to deploy edge AI on spacecraft face a critical cost barrier due in part by reliance on traditional real-time operating systems. The solution lies in adopting Linux, the industry standard for edge AI deployments, offering unmatched performance, compatibility, and (AI) software ecosystem. Linux infrastructure for mission adoption however is lacking. Space Grade Linux addresses this by developing a Linux distribution tailor made for spacecraft, improving support for flight software frameworks, and establishing open-source components. In addition, this allows Space Grade Linux to accelerate development, promote code-reuse, and facilitate industry collaboration crucial to remaining competitive in the rapidly evolving field of AI.

Expected benefits

Space Grade Linux reduces development cost of spacecraft software by allowing missions to tap into state-of-the-art AI software and hardware that would be otherwise unavailable or cost prohibitive to develop for traditional real-time operating systems. Open-source components in Space Grade Linux will also directly benefit the development of safety critical systems in other industries, such as robotics, medical devices, aerospace, and automotive.

System outputs

Not reported

Technology

AI classification
Other
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported