US EditionPublished • loading... • Updated
Nvidia Is Building a Computer for AI Data Centers in Space
Nvidia's new module integrates advanced chips for orbital AI centers to leverage abundant solar power and reduce terrestrial energy demands, partners include Axiom Space and Starcloud.
- On Monday at GTC, Nvidia revealed the Vera Rubin Space-1 Module, which combines IGX Thor and Jetson Orin to enhance AI processing for satellites and space platforms.
- Rising power costs have pushed interest in orbital AI data centers, fueled by Elon Musk's xAI-SpaceX merger last month and regulatory filings for 1 million satellites.
- The Vera Rubin Module contains a Rubin architecture GPU promising up to a 25-times performance leap over the H100 GPU, and partners include Axiom Space, Starcloud, and Planet Labs, who have tested Nvidia hardware in orbit.
- Nvidia said the Space-1 Vera Rubin Module is not yet available but expects to reach customers in the near future and has begun recruiting an Orbital Datacenter System Architect.
- Technical hurdles such as radiation exposure and thermal management include cooling challenges, with Jensen Huang, Nvidia CEO, warning 'In space, there's no convection, there's just radiation'; scientists and critics also raise concerns about radiation, extreme temperatures and debris risks from the 1 million-satellite proposal.
Insights by Ground AI
37 Articles
37 Articles
Daily Journal+27 Reposted by 27 other sources
Nvidia making AI module for outer space
Nvidia chief Jensen Huang on Monday said the leading artificial intelligence chip maker is heading for space with a goal of powering orbiting data centers.
·Cherokee County, United States
Read Full Article
Silicon Valley looks up to the sky, and it is not to admire the Milky Way. Nvidia has just confirmed its intention to transform the Earth's orbit into a new extension of its server farms. A disproportionate ambition that re-designs the contours of computer science.
Coverage Details
Total News Sources37
Leaning Left5Leaning Right5Center8Last UpdatedBias Distribution44% Center
Bias Distribution
- 44% of the sources are Center
44% Center
L 28%
C 44%
R 28%
Factuality
To view factuality data please Upgrade to Premium
