teleo-codex/entities/space-development/starcloud.md

type	entity_type	name	founded	headquarters	status	industry	key_people	website	tags	supports	reweave_edges
entity	company	Starcloud	~2024	Seattle area, USA	active	orbital data centers, space-based AI compute			orbital-data-center AI-compute small-satellite NVIDIA-partnership SpaceX-rideshare	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 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	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 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

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