Hewlett Packard Enterprise (HPE) announced on October 20, 2026, that it plans to send Spaceborne Computer-4 to the Moon aboard Astrolab’s FLIP rover, carried by Voyager Technologies’ Griffin-1 lander. The mission is planned for a site near the lunar south pole, with launch intended for late 2026 under NASA’s Commercial Lunar Payload Services initiative.
Spaceborne Computer-4 has been integrated into FLIP
HPE’s Spaceborne program page says the computer was delivered to Astrolab and mechanically integrated into FLIP on February 12, 2026. That is a pre-launch integration milestone; the planned lunar benchmarks and workloads are still part of the mission ahead.
HPE describes the module as lightweight, self-contained and fanless, with a low-power CPU and GPU and KIOXIA solid-state storage. The company plans to use it for high-performance computing (HPC), meaning computationally intensive workloads, as well as AI applications.
What HPE, NASA and Deloitte plan to run
The organizations have different planned roles, from computing benchmarks and image processing to document search and cybersecurity analytics.
| Organization | Planned work |
| HPE | High Performance LINPACK (HPL) and High Performance Conjugate Gradient (HPCG) benchmarks; AI workloads including retrieval-augmented generation (RAG), vision inference, LiDAR processing and an AI-services container |
| NASA | FLUID, an experiment coordinating three AI models trained on Earth, lunar and International Space Station data; a tuned language model for semantic search and interpretation of onboard documents |
| Deloitte Consulting LLP | Silent Shield cyber-analytics, including intrusion and anomaly detection intended to operate near real time |
HPL and HPCG are benchmarks for measuring computing performance. HPE described its planned runs as the first of those specific benchmarks on the Moon, based on the public information it had reviewed as of October 20, 2026.
RAG combines a language model with retrieved information to help it answer a query. HPE’s other planned AI work includes vision inference, in which a model analyzes visual data, and LiDAR processing. LiDAR uses laser measurements to map surroundings; HPE plans to apply it to mapping, navigation, terrain analysis and infrastructure. NASA’s work has a different focus: coordinating models trained on data from three locations and searching documents stored onboard.
HPE plans support from Earth
HPE says it will support Astrolab’s mission control in Hawthorne, California, with HPE Private Cloud for real-time insights and HPE CloudOps Software to manage and automate workloads. The plan pairs computing on the rover with operations support on Earth.
