News Summary
- NVIDIA Space-1 Vera Rubin, Module, IGX Thor, and Jetson Orin platforms are built for environments with limited size, weight, and power. They bring data center-level performance and edge AI capabilities into orbital data centers. Geospatial intelligence and autonomous space operations.
- Aaetherflux, Axiom Space, Kepler Communications, Planet Labs PBC, Sophia Space, and Starcloud rely on NVIDIA-accelerated platforms for next-generation space missions.
At GTC, NVIDIA announced that its newest accelerated computing platforms are expanding the frontiers of space innovation by bringing AI computing into orbital data centers, geospatial intelligence, and autonomous operations in space.
NVIDIA is enabling AI applications to operate fluently from the ground to space and between spacecraft by delivering data-center-level performance in environments with strict size, weight, and power constraints. This supports more complex mission needs.
The NVIDIA Space 1 Vera Rubin module is the latest addition to NVIDIA’s accelerated platform for space. Its Rubin GPU delivers up to 25 times more AI computing power for space-based tasks than the previous generation NVIDIA H100 GPU, specifically enhancing performance for orbital data centers, advanced geospatial intelligence, and autonomous space operations.
IGX, Thor, and Jackson Orain platforms offer energy-efficient, high-performance AI and data processing in compact designs for true edge computing in orbit.
NVIDIA data center platforms, such as the RTX Pro 6000 Blackwell Server Edition GPU, provide rapid on-demand ground processing for geospatial intelligence and can analyze image archives up to 100 times faster than earlier CPU-based systems, supporting extensive geospatial workloads.
Space computing, the final frontier, has arrived as we deploy satellite constellations and explore deeper into space. Intelligence must live wherever data is generated, said Jensen Huang, founder and CEO of NVIDIA. AI processing across space and ground systems enables real-time sensing, decision-making, and autonomy. Transforming orbital data centers into instruments for discovery and spacecraft into self-navigating systems with our partners, they’re extending Nvidia beyond our planet, boldly taking intelligence where it’s never gone before.
Bolstering Space Missions
Aetherflux, Axion Space, Kepler Communications, Planet, Sophia Space, and StarCloud use NVIDIA platforms to drive the next wave of in-orbit and ground-based space missions.
Baiju Bhatt, founder and CEO of Aetherflux, said: “At Aetherflux, we are pioneering a new paradigm for power and compute in space. NVIDIA Space 1 Vera Rubin module delivers high-performance, energy-efficient AI at the edge in orbit, powered by solar energy. This enables autonomous operations and mission-critical services and unlocks scalable space-based AI infrastructure outside Earth.”
Mina Mitry, CEO of Kepler Communications, said the company is building the next-generation data network that enables real-time connectivity in space. NVIDIA Jetson Orin brings advanced AI directly to our satellites, allowing us to intelligently manage and route data across our constellation and turning our network into a smarter, more efficient platform that lowers latency and delivers secure, reliable connectivity at a global scale.
Will Marshall, co-founder and CEO of Planet, said, “Planet images the Earth every day, a data challenge that requires the world’s most advanced computing through integrating Nvidia’s accelerated platform from space to ground. We are supercharging our ability to index the physical world using NVIDIA CorrDiff AI models. We are moving from raw pixels to usable insights in near real time. Together, we are enabling a radical leap in planetary intelligence, helping humanity make smarter decisions at the speed of global change.”
Rob DiMillo, CEO of Sophia Space, said the company’s focus is on building modular, passively cooled hosted computing platforms that provide customers with dedicated infrastructure to run applications directly in space. In media, Jetsam or in health enables us to embed AI capability into that infrastructure, supporting instant processing and autonomous operations with strict size, weight, and power constraints. This brings cloud-like flexibility to space and makes orbital computing commercially accessible.
Philip Johnston, CEO of StarCloud, said, “StarCloud is building purpose-designed orbital data centers to deliver cloud and AI infrastructure directly in space. With NDA, we can bring true hyperscale-class AI computing to audit processing data at the source, reducing downlink dependency and enabling customers to run training and inference workloads in space for the first time. This is a critical step toward making space an uninterrupted extension of the global cloud.”
AI-Powered Infrastructure in Orbit
As the commercial space industry grows rapidly, there is an increasing need for immediate data processing in orbit.
The Space 1 Vera Rubin module brings data center AI to space, running advanced models in orbit. Its CPU, GPU, and high-speed connections handle massive data streams in real time for analytics, research, and rapid insights. Thank you.
NVIDIA IGX Thor offers strong durability and enterprise-grade software support on a power-efficient platform designed for future-generation mission-critical edge environments. It enables real-time AI processing, functional safety, secure boot, and autonomous operation. This lets spacecraft process sensor data locally, use bandwidth more efficiently, respond faster, and work smoothly with drone control systems.
NVIDIA Jetson Orin provides high-performance AI in a very compact, energy-efficient module designed for edge use. It is optimized for settings with strict size, weight, and power constraints, enabling the instantaneous processing of vision, navigation, and sensor data directly on the spacecraft. This reduces latency and improves bandwidth utilization.
The Jetson Platform’s AI software and CUDA acceleration make Jetson Orin ideal for satellites, servicing vehicles, and space detection platforms, providing responsive computing while maintaining ground connections.
NVIDIA Data Center Platforms Advanced Geospatial Intelligence
As the space industry grows, it produces more data. On-orbit computing enables instant processing for geospatial satellites, including imaging radar and radio frequency sensors. Still, much of this data is added to large archives to support large-scale trend analysis.
Traditionally, ground-based geospatial imaging systems used CPUs, resulting in extended processing times. The NVIDIA RTX PRO 6000 Blackwell Server Edition GPU greatly speeds up on-ground processing relative to older systems.
With CUDA’s flexibility and support for various software tools and programming languages, geospatial intelligence users can process data in the cloud, at edge ground stations, or computing facilities located near satellite antennas or in orbit. They can also quickly add new AI features and extract insights from large image archives for several applications.
- Disaster response and environmental monitoring. AI speeds up the processing of high-definition images, enabling quick detection of wildfires, floods, and oil spills, and rapid alerts.
- Climate and weather predictions, fast and accurate tracking of weather patterns, and long-term climate changes allow for advanced analysis of atmospheric data.
- Infrastructure and asset management, automated object detection, and trend analysis help track global electricity grids, transport networks, and agricultural health without human involvement.
Availability
The IGX, Thor, and Jetson Orin platforms, along with the RTX Pro 6000 Blackwell GPU, are available now. The Space One Vera Rubin module will be available later.
Source: NVIDIA Launches Space Computing, Rocketing AI Into Orbit
