Legacy satellite architectures and their networks face increasing challenges to scalability and resilience, requiring transformative levels of distributed intelligence and storage like those in the evolution of terrestrial IoT networks.
Fairly limited in capability today, these satellites must achieve levels of autonomy and responsiveness not yet available to deal with real time threats, both natural and manmade.
Satellite network scalability and resilience are nearly impossible without a reimagined architecture centered around distributed intelligence and storage, to enable the highest levels of AI for true in situ adaptability in real time. Yet limited resources in space and unending cosmic inundation will prevent the use of traditional terrestrial methods for processor scaling.
The “AI Computing in Space” white paper describes why these unique environmental challenges will upend longstanding processor scaling paradigms. Using key technology advancements and novel approaches to historical parallel processing, Avalanche puts forward a new Space-IoT architecture framework.
Many of the critical underpinnings are available now, solving the specific challenges of unreliable power, inability to store an infinite amount of data from IoT satellite nodes, and crippling radiation. Avalanches Space Grade MRAM solutions will enable the Orbital internet and envisioned Mars/Moon Gateway.
