61 lines
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3.4 KiB
Markdown
61 lines
No EOL
3.4 KiB
Markdown
---
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type: entity
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entity_type: company
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name: Starcloud
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founded: ~2024
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headquarters: Seattle area, USA
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status: active
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industry: orbital data centers, space-based AI compute
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key_people: []
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website: []
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tags: [orbital-data-center, AI-compute, small-satellite, NVIDIA-partnership, SpaceX-rideshare]
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supports:
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- Starcloud is the first company to operate a datacenter grade GPU in orbit but faces an existential dependency on SpaceX for launches while SpaceX builds a competing million satellite constellation
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- Orbital data center deployment follows a three-tier launch vehicle activation sequence (rideshare → dedicated → constellation) where each tier unlocks an order-of-magnitude increase in compute scale
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reweave_edges:
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- Starcloud is the first company to operate a datacenter grade GPU in orbit but faces an existential dependency on SpaceX for launches while SpaceX builds a competing million satellite constellation|supports|2026-04-04
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- Orbital data center deployment follows a three-tier launch vehicle activation sequence (rideshare → dedicated → constellation) where each tier unlocks an order-of-magnitude increase in compute scale|supports|2026-04-04
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---
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# Starcloud
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**Industry:** Orbital data centers / space-based AI compute
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**Status:** Active, post-Series A
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**Key Technology:** Space-qualified NVIDIA H100 GPUs for AI training and inference in low Earth orbit
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## Overview
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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.
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## Strategic Position
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- **First-mover advantage:** First company to demonstrate AI model training in orbit (NanoGPT trained on Shakespeare, November 2025)
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- **NVIDIA partnership:** Explicit backing from NVIDIA, with NVIDIA Blog profile predating Series A raise
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- **SpaceX rideshare access:** Partnership with SpaceX for rideshare launch capacity
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- **Rapid capital formation:** Achieved unicorn valuation within 16 months of first proof-of-concept launch
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## Technology
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- **Satellite specs:** 60kg small satellites (approximately refrigerator-sized)
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- **Compute performance:** ~100x more compute than any prior space-based system
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- **Software compatibility:** Standard Earth-side ML frameworks (NanoGPT, Gemma) run without modification
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- **Demonstrated workloads:** LLM training (NanoGPT on Shakespeare corpus), LLM inference (Google Gemma queries)
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## Market Thesis
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"Demand for compute outpaces Earth's limits" — positioning orbital data centers as addressing terrestrial compute constraints rather than creating a new niche market.
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## Timeline
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- **2025-11-02** — Starcloud-1 launches aboard SpaceX Falcon 9 rideshare mission, carrying first NVIDIA H100 GPU into orbit
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- **2025-11-02** — Successfully demonstrates AI model training in orbit: NanoGPT trained on complete works of Shakespeare
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- **2025-11-02** — Successfully demonstrates AI inference in orbit: Google Gemma LLM running and responding to queries
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- **2026-03-30** — Raises $170M Series A at $1.1B valuation (TechCrunch), 16 months after proof-of-concept launch
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## Sources
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- Data Center Dynamics: Starcloud-1 satellite reaches space with NVIDIA H100 GPU (Nov 2025)
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- CNBC coverage of Starcloud-1 launch (Nov 2025)
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- TechCrunch: Starcloud Series A announcement (March 2026)
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- NVIDIA Blog: Starcloud profile (pre-Series A)
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- GeekWire: Seattle startup coverage |