6720fb807e
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>
55 lines
No EOL
2.6 KiB
Markdown
55 lines
No EOL
2.6 KiB
Markdown
---
|
|
type: entity
|
|
entity_type: company
|
|
name: Starcloud
|
|
founded: ~2024
|
|
headquarters: Seattle area, USA
|
|
status: active
|
|
industry: orbital data centers, space-based AI compute
|
|
key_people: []
|
|
website: []
|
|
tags: [orbital-data-center, AI-compute, small-satellite, NVIDIA-partnership, SpaceX-rideshare]
|
|
---
|
|
|
|
# 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 |