Starcloud runs a language model on its satellite after training on orbiting Nvidia GPUs
emmanuelvivier · x · 2026-08-22
NVIDIA Inception startup Starcloud is pushing space-based data centers: after sending an NVIDIA H100 GPU into orbit and training a small model on it, it has now run a language model aboard its own satellite.
- The 60-kg Starcloud-1 (roughly the size of a small fridge) offers 100x more GPU compute than any prior space-based operation — the first data-center-class GPU in space.
- The company says space offers nearly unlimited low-cost solar power, with 10x lower energy costs and roughly 10x CO2 savings over the data center's lifetime versus terrestrial power.
- Its long-term goal is a 5-gigawatt orbital data center with solar and cooling panels about 4 km wide.
Related event: NVIDIA Pushes Space Computing as Starcloud Runs AI Models in Orbit(2 posts)→
More from Infra
- Token Usage Explosion: From 10B/Year to 10B/Week on OpenAI — xeophon · 2026-08-22
- GitHub Repo with 132k Stars Tracks Free Tiers for Devs — Roger_M_Taylor · 2026-08-22
- Switching to ROCm 10 Fixes Dynamic VRAM NaN on AMD GPUs — Present-Guitar-3967 · 2026-08-22
- NVIDIA Adopts Diamond Cooling for New Platform, Domestic Supply Chain Sees Boom — 创业邦 · 2026-08-22
- US AI industry's economic model is cracking: subscriptions below compute cost, data centers stalled — Minimum_Name9115 · 2026-08-22
- Troubleshooting Multi-GPU Support for Deepseek V3 in llama.cpp — erazortt · 2026-08-22