Some checks are pending
Sync Graph Data to teleo-app / sync (push) Waiting to run
- Source: inbox/queue/2025-11-02-starcloud-h100-first-ai-workload-orbit.md - Domain: space-development - Claims: 1, Entities: 1 - Enrichments: 2 - Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5) Pentagon-Agent: Astra <PIPELINE>
2.6 KiB
2.6 KiB
| type | entity_type | name | founded | headquarters | status | industry | key_people | website | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| entity | company | Starcloud | ~2024 | Seattle area, USA | active | orbital data centers, space-based AI compute |
|
Starcloud
Industry: Orbital data centers / space-based AI compute
Status: Active, post-Series A
Key Technology: Space-qualified NVIDIA H100 GPUs for AI training and inference in low Earth orbit
Overview
Starcloud is a Seattle-area startup developing orbital data center infrastructure for AI compute workloads. The company launched the first NVIDIA H100 GPU into orbit aboard Starcloud-1 in November 2025, demonstrating AI model training and inference in space.
Strategic Position
- First-mover advantage: First company to demonstrate AI model training in orbit (NanoGPT trained on Shakespeare, November 2025)
- NVIDIA partnership: Explicit backing from NVIDIA, with NVIDIA Blog profile predating Series A raise
- SpaceX rideshare access: Partnership with SpaceX for rideshare launch capacity
- Rapid capital formation: Achieved unicorn valuation within 16 months of first proof-of-concept launch
Technology
- Satellite specs: 60kg small satellites (approximately refrigerator-sized)
- Compute performance: ~100x more compute than any prior space-based system
- Software compatibility: Standard Earth-side ML frameworks (NanoGPT, Gemma) run without modification
- Demonstrated workloads: LLM training (NanoGPT on Shakespeare corpus), LLM inference (Google Gemma queries)
Market Thesis
"Demand for compute outpaces Earth's limits" — positioning orbital data centers as addressing terrestrial compute constraints rather than creating a new niche market.
Timeline
- 2025-11-02 — Starcloud-1 launches aboard SpaceX Falcon 9 rideshare mission, carrying first NVIDIA H100 GPU into orbit
- 2025-11-02 — Successfully demonstrates AI model training in orbit: NanoGPT trained on complete works of Shakespeare
- 2025-11-02 — Successfully demonstrates AI inference in orbit: Google Gemma LLM running and responding to queries
- 2026-03-30 — Raises $170M Series A at $1.1B valuation (TechCrunch), 16 months after proof-of-concept launch
Sources
- Data Center Dynamics: Starcloud-1 satellite reaches space with NVIDIA H100 GPU (Nov 2025)
- CNBC coverage of Starcloud-1 launch (Nov 2025)
- TechCrunch: Starcloud Series A announcement (March 2026)
- NVIDIA Blog: Starcloud profile (pre-Series A)
- GeekWire: Seattle startup coverage