Why the Orbital Data Stack is hard.

Four things most companies can't do — and SpaceBilt already has:

• 1. Petabyte-class hardware in brutal environments

  We've flown 100+ TB Large in-Space Servers on the ISS exterior and delivered the first commercial data server to the Moon, proving enterprise-class compute and storage can survive radiation, vacuum, and extreme thermal swings.

• 2. Real data center nodes, not one-off payloads

  We're leading the engineering and payload implementation of Axiom's Orbital Data Center Node ISS — a petabyte-scale, optically connected infrastructure node that satellites, spacecraft, and stations can use as shared compute and storage, not just a single experiment.

• 3. Making COTS AI chips work in high-radiation environments

  We're not building custom rad-hard chips — we're running H100-class commercial GPUs in orbit using system-level mitigation: shielded compute pods, ECC everywhere, watchdog logic, checkpoint/rollback, and workload-level redundancy. This lets us deploy cutting-edge AI hardware at scale while tolerating single-event upsets and long-term dose effects.

• 4. The lifecycle nobody sees

  As an ISS National Lab implementation partner, we handle flight qualification, launch integration, on-orbit operations, and remote control through platforms like SMART-1 — and we're designing orbital logistics to upgrade, move, and repurpose capacity without de-orbiting hardware.

Very few companies on Earth can deliver the full Orbital Data Stack. SpaceBilt is one of them — and we've already flown most of it. That's why we're in a position to build the first true Orbital AI Factories.

How you actually build an orbital data center.

Everyone's deck says the same four words: modular, resilient, scalable, maintainable. On the ground, that's a slide. In orbit, it's a set of brutal engineering constraints you either solve in hardware or you don't fly.

At SpaceBilt, the Orbital Data Stack is built around three realities:

• You design for orchestration, not boxes.

  A "module" in orbit isn't just a metal can with compute inside. It's a self-contained power, thermal, network, and storage envelope that can be scheduled, throttled, and replaced without touching the rest of the stack. We standardize those envelopes so that a LiSS server, a sensor processor, or a manufacturing controller all plug into the same backbone and can be reconfigured like cloud instances, not one-off satellites.

• Serviceability is an interface problem, not a slogan.

  Saying you can swap containers is easy; doing it in microgravity, on a station with safety constraints, is not. We collapse power, data, and cooling into a small set of repeatable interfaces and keep moving parts out of the critical path, so an astronaut, robot, or ISAM vehicle can remove and replace a node without taking the rest of the data center down. That's how you get to 10+ years of useful life without a "rip and replace" event.

• Resiliency is graceful failure, not wishful redundancy.

  Single points of failure in orbit aren't just outages, they're lost missions. We assume radiation hits, thermal excursions, and partial brownouts are normal operating conditions, and architect the Orbital AI Factory to degrade in slices: lose one node, one link, or one rail and the system keeps running at reduced capacity instead of going dark. That's what lets you accelerate the velocity of data on the outer edge without betting the mission on perfect conditions.

Whitepapers describe how orbital data centers should work. SpaceBilt's Orbital Data Stack is how they actually do — with the interfaces, envelopes, and failure modes already proven in space. It's the foundation every Orbital AI Factory we build runs on.