Space Processors
Space processors are the CPUs, FPGAs, and other chips specially chosen or designed to run reliably in the harsh conditions of orbit.
Imagine picking a brain for your robot that has to work flawlessly while being constantly bombarded by radiation and running on a very limited power supply.
Common Types of Space Processors
Radiation-Hardened CPUs
These are traditional processors built with special techniques to survive radiation. Popular examples include the BAE Systems RAD750 (based on PowerPC) and Microchip’s SAMRH series (ARM-based). They are slower and more expensive than desktop CPUs, but they have a proven track record on many successful missions.
Field-Programmable Gate Arrays (FPGAs)
FPGAs are reconfigurable chips that let engineers customize hardware functions even after launch. Radiation-tolerant versions from Microchip (such as the RT PolarFire) and AMD Xilinx are widely used because they offer high performance for specific tasks like signal processing or data filtering while maintaining reliability.
Emerging Options
Some newer missions carefully qualify commercial off-the-shelf (COTS) processors with heavy software mitigation. This approach provides more raw performance at lower cost, though it requires extra work to ensure reliability.
Key Trade-offs
Space processors usually deliver less raw speed than the CPU in your laptop or desktop. Instead, power efficiency, radiation tolerance, and long-term reliability matter far more. A processor that fails after six months is useless no matter how fast it is.
Designers must balance performance against power consumption, size, and the ability to handle faults gracefully.
Why Processor Choice Matters
The processor is often the single most important decision in a space computing design. It determines what software can run, how much data can be processed onboard, how much power is needed, and how autonomous the spacecraft can be.
Modern space missions are increasingly using a mix of CPUs for general control and FPGAs for high-speed parallel tasks. As technology improves, we are seeing more capable and efficient processors making their way into orbit.
Choosing the right space processor is what allows a small CubeSat to perform useful science or a deep-space probe to operate reliably for many years far from Earth.
The Future: Edge AI and Orbital Datacenters in Space
Upcoming space compute is driving rapid evolution in space processors to support high-performance edge AI and large-scale orbital datacenters. Traditional radiation-hardened CPUs and FPGAs will be joined — and in many cases augmented — by specialized AI accelerators capable of running real-time machine learning models directly in orbit.
Future edge AI systems will demand processors that combine radiation tolerance with high throughput and extreme power efficiency. This includes next-generation radiation-hardened AI chips, custom AI-optimized FPGAs, and carefully qualified COTS accelerators (such as tensor processing units or GPUs) paired with advanced fault-tolerance layers. For orbital datacenters — constellations of interconnected satellites acting as distributed compute platforms — processor architectures must scale across hundreds or thousands of nodes, supporting workload migration, distributed training/inference, and high-bandwidth inter-satellite communication.
Emerging designs focus on hybrid approaches: a radiation-hardened control CPU paired with powerful but mitigated AI accelerators, dynamic power and thermal-aware scheduling, and AI-specific resilience features like error-resilient neural networks. These processors will enable satellites to perform onboard object detection, anomaly identification, data compression, and even limited model fine-tuning without constant ground contact.
By advancing space processors for AI workloads at constellation scale, upcoming architectures will deliver orders-of-magnitude more onboard intelligence and compute capacity — transforming what small satellites and large orbital platforms can achieve in Earth observation, scientific discovery, and deep-space exploration.