The Cost and Network Limits of Space-Based AI Compute
arXiv 2607.14172•e449aec334ab1536b26143933a995b07588cf526f806bdce6eaccf1f3db2b470
DRIFT (DTST)EdgeFaaSGround-to-spaceHeaRankORCHIDESOUNDGATEagent-frameworksblocklacecontrol-primitivescrdtdenial-of-servicedistributed-fftdistributed-systemsedge-computingformal-verificationgpu-reliabilityllm-agentsmission-compilermodel-checkingpolicy-as-codepredictive-maintenanceresource-exhaustionsatellite-softwareside-effect-leaksupply-chain
Paper metadata
- arXiv ID
- 2607.14172
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- e449aec334ab1536b26143933a995b07588cf526f806bdce6eaccf1f3db2b470
- Enrichment time
- 2026-07-17T08:52:33Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.