Invention:
This technology is an adaptive, heterogeneous computing node with an intelligent runtime software stack. The node is designed to serve as the building block for scalable, datacenter-level computer architectures for use in an outer-space environment. Rather than relying on a single accelerator type, the node integrates CPUs, GPUs, Field Programmable Gate Arrays (FPGAs), and emerging accelerators. These heterogeneous nodes interconnect based on the Named Data Networking (NDN) communication model to form a distributed, resilient, and intelligent datacenter fabric in space, enabling real-time collaboration, workload sharing, and adaptive resource management across thousands of nodes. These nodes are capable of dynamically scheduling workloads, managing memory, and supporting fault tolerance. Furthermore, these nodes are scalable and can be used to create a distributed in-orbit data center to enable more advanced space missions.
Background:
As space-based computing becomes more and more important with the advancement of AI technologies, increasing space exploration initiatives, and the growing complexity of space missions, creates the need for more powerful space-based computing architectures. Current space-based computing nodes are typically GPU and TPU-based fixed function architectures, lacking in flexibility and scalability. This technology takes a heterogeneous approach, integrating CPUs, GPUs, FPGAs and more to create a space-based computing node capable of increased scalability, flexibility, and computing power. Ultimately, this supports more autonomous, adaptive space exploration missions.
Applications:
- Space-based computing
- Space exploration
Advantages:
- Flexible
- Scalable
- Adaptable
- Real-time, in-orbit decision-making without constant reliance on ground control
- Energy efficient
