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Versal and Space 2.0 (MT)

Versal - Revolutionising Onboard Processing and AI in Space 2.0 Applications

Versal and Space 2.0 (LC)

With Paul Leys

Satellite orbiting Earth - Versal AMD

Our space exploration and satellite technology landscapes are changing fast, ushering in what many refer to as Space 2.0.

This era emphasises higher processing power, AI-driven analytics, and increased autonomy for space missions. Unlike traditional space missions, which relied on extensive ground station communication and analysis, Space 2.0 requires real-time data processing, adaptive computing architectures, and radiation-hardened electronics that can withstand the harsh conditions of space.

AMD’s Versal adaptive SoCs — reconfigurable processing platforms designed for space-based AI, machine learning, and advanced onboard computing — are at the forefront of this evolution.

The role of adaptive SoCs in space technology

Modern space applications require sophisticated data processing to handle the vast amounts of telemetry, imaging, and sensor data generated by satellites and spacecraft.

Traditionally, this data was relayed to Earth for analysis, but latency issues and bandwidth constraints have necessitated the development of onboard processing solutions.

AMD’s XQR Versal adaptive SoCs are designed to meet these challenges. These space-qualified SoCs integrate AI and machine learning capabilities for real-time anomaly detection and signal processing, radiation-tolerant architectures for long-duration missions, and scalable processing power to handle diverse computational workloads in space environments. By including a network-on-chip architecture, this further facilitates efficient data movement between subsystems, ensuring optimal performance.

AI-driven telemetry anomaly detection (LC)

AI-driven telemetry anomaly detection

Telemetry data in spacecraft consists of thousands of parameters that track system health, environmental conditions, and performance metrics. Historically, analysing this data required ground-based processing — but, with the implementation of long short-term memory neural networks, Versal can process telemetry data onboard in real time.

Using LSTM models, the Versal AI Edge VE2302 can predict future telemetry values and detect anomalies by comparing predicted values against actual sensor data. If a deviation surpasses a predefined threshold, an alert is triggered. This approach improves operational reliability and enhances mission success by allowing proactive system diagnostics.

Radiation tolerance and reliability

One of the most significant challenges in deploying electronics in space is radiation exposure. AMD has developed Versal adaptive SoCs with extensive radiation hardening features to ensure long-term functionality. Single-event effect mitigation has been extensively tested through proton and heavy-ion exposure, reducing the risk of data corruption.

Another critical feature is configuration memory scrubbing, which allows the onboard mechanism to correct upsets without requiring an external processor. The ruggedized organic flip-chip packaging enhances durability and heat dissipation, improving the overall longevity of these systems. The Versal AI Core VC1902 can support missions intended for deep space conditions, making it a highly reliable solution for long-duration projects.

High-performance computing for space applications

The Versal AI Core VC1902 offers 400 AI engines and 900,000 lookup tables, making it one of the most potent adaptive computing platforms available for space applications. Its capabilities are well-suited for signal intelligence, synthetic aperture radar image processing, advanced electronic warfare applications, and secure satellite communications.

By leveraging adaptive intelligent engines, Versal SoCs accelerate vector processing, AI-based computations, and real-time analytics while maintaining a low power footprint. These features make them essential for modern space-based systems, providing robust performance in demanding environments.

AMD Versal (GBL)

AMD

The AMD Versal range offers high-performance CPUs, GPUs, and accelerators, integrating advanced technologies for diverse workloads in AI, HPC, and data analytics, promising efficient and scalable solutions.

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Power management and scalability (LC)

Power management and scalability in space electronics

Efficient radiation-tolerant power management is crucial to sustaining the processing demands of Versal SoCs. Companies like Renesas have developed specialised power solutions tailored to the Versal AI Edge and AI Core platforms. High-efficiency multiphase power delivery ensures the XQR VC1902 receives the 140A of current it requires, while the VE2302 operates with 50A. These power systems must also account for radiation-induced transient events, necessitating the use of adaptive voltage compensation mechanisms to counteract fluctuations.

Scalability and modularity are key considerations in space power management. Engineers can design flexible power architectures using modular point-of-load regulators to support various mission profiles. Efficiently distributing power while maintaining stringent voltage regulation allows Versal SoCs to function optimally in extreme space environments.

The future of adaptive computing in Space 2.0

The future of space computing is moving toward high-performance adaptive architectures that enable advanced onboard intelligence. Integrating AI-driven telemetry analysis, real-time signal processing, and resilient radiation-tolerant designs will shape the next generation of satellites and deep-space missions. AI-powered automation is expected to become a critical component of future spacecraft, allowing for mission-critical decision-making without human intervention.

As cyber threats extend to space assets, adaptive SoCs will incorporate post-quantum cryptographic measures to enhance security. Extended radiation-hardening techniques will further increase the lifespan of spacecraft electronics, enabling missions of unprecedented duration. Real-time onboard AI processing will play a crucial role in autonomous planetary landers, rovers, and space telescopes, allowing them to operate with greater autonomy and intelligence.

Conclusion

As Space 2.0 evolves, the demand for real-time AI, high-performance onboard processing, and radiation-hardened computing will increase. AMD’s XQR Versal adaptive SoCs represent the pinnacle of next-generation space technology, enabling autonomous space operations, real-time anomaly detection, and AI-driven analytics. When paired with advanced radiation-tolerant power solutions, these adaptive computing platforms will continue pushing the boundaries of space exploration's possible possibilities.

From low-Earth-orbit constellations to deep-space interplanetary missions, Versal’s adaptability, efficiency, and AI-driven capabilities make it a foundational technology for the future of space-based computing.

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About Author

 

Paul Leys
Paul Leys

Paul Leys is the Market Segment Manager for the Aerospace and Commercial Avionics business at Avnet Silica. He supports the Avnet Silica EMEAI A+D business with a team of local Account Managers and FAEs. He has supported this business for over 25 years and has a particular passion for the space industry. The Avnet Silica goal is to be able to offer a wide range of reliable and leading-edge electronic component solutions to its space customers. Paul holds a BSc in Electronics and Electrical Engineering from Edinburgh University.

Space 2.0 Overview (GBL)

Aerospace & Aviation

Space 2.0 Overview

We use our vast knowledge and long experience of supporting traditional radiation-hardened components to come up with innovative, lower cost, reliable radiation tolerant components. We're ready to support your next Space 2.0 project.

Earth's radiation - space 2.0 components need to be radiation hardened