Nvidia rolls out Rubin Module for space-based computing • The Register


gtc Space could be the final frontier for datacenters. Never mind that some analysts have described orbital bit barns as “peak insanity” – Nvidia has designed a new Vera Rubin module specifically to operate above the Earth’s atmosphere.

Nvidia CEO Jensen Huang announcedthe Space-1 Vera Rubin Module during his keynote at GTC on Monday. It’s specifically designed to cram AI into size-, weight-, and power-constrained environments, like the inside of a satellite or an orbital datacenter. 

According to Nvidia, the GPU on the designed-for-space Rubin Module is able to deliver up to 25 times the AI compute of an H100 GPU, perfect for “space-based inferencing, enabling next-generation compute for orbital datacenters, advanced geospatial intelligence processing and autonomous space operations.” 

It’s not necessarily intended for processing data for ground-based systems – one of the major concerns with the feasibility of orbital datacenters -but is meant for processing of data gathered from other orbital sensors and spacecraft. 

Talk about edge computing. 

Along with the purpose-built Rubin Module, Nvidia also pushed its IGX Thor unit as a durable edge computing system that “enables spacecraft to process sensor data locally,” and its AI dev module Jetson Orin as another space-constrained system good for orbit. Jetson Orin “enables real-time processing of vision, navigation and sensor data directly onboard spacecraft, reducing latency and optimizing bandwidth,” per Nvidia. 

Additionally, Nvidia said that its RTX Pro 6000 Blackwell Server Edition GPU is an ideal ground-based partner to orbital geospatial imaging processing systems that have typically used CPUs for computational work.

Huang spoke excitedly about deploying his company’s chips into orbit on Nvidia’s most recent earnings call, when he said that space AI would have interesting applications. The Nvidia chief also admitted that launching datacenters into orbit is a poor economic decision, at least for now.

Nonetheless, he’s banking it’s better to be ready for a boom that never comes than to miss it in case it does.

Multiple companies are betting on Earth orbit as the next generation of out-of-sight, out-of-mind places they can stick datacenters after filling up rural America and draining it of resources. Naturally, Nvidia is working with lots of them right now. 

“Aetherflux, Axiom Space, Kepler Communications, Planet, Sophia Space and Starcloud are using Nvidia accelerated computing platforms to power next-generation space missions across orbital and ground environments,” Nvidia said in a press release. It didn’t mention whether any of those firms are testing the new Rubin module, or whether any of them have actually sent one to orbit for testing yet. 

Aetherflux, at the very least, may do so soon, as the company claimed at the end of last year that it intended to launch its first datacenter satellite into orbit during the first quarter of 2027.

Of course, all of this supposes that orbital datacenters actually become something more than the setting for a William Gibson novel. 

“Companies are wasting money by pouring funds into the orbital data center ‘bubble’ because the economics do not work,” Gartner distinguished VP analyst Bill Ray said in a report published at the end of February. “This is due to the prohibitive costs of launching hardware and the immense technical challenges of cooling these orbital datacenters in the vacuum that is space.”

In other words, whether your chips are tiny and lightweight or not, they still have to deal with all the really hard challenges that space can throw at them, and all without humans on board to triage and problem-solve. 

“Product leaders face the very real possibility of underbuilt terrestrial data center capacity if this ‘bubble’ of space data center hype lasts for several years,” Ray opined.

Clearly Huang isn’t listening. “Space computing, the final frontier, has arrived,” he said on Monday. “As we deploy satellite constellations and explore deeper into space, intelligence must live wherever data is generated.” ®



Source link