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Enabling Space-Grade AI/ML with RISC-V: A Fully European Stack for Autonomous Missions

By August 5, 2025November 3rd, 2025No Comments1 min read
  • Marketing Specialist, RISC-V International

    Anisha is part of the RISC-V International marketing team, responsible for managing social media and tracking the latest updates from our members. She brings more than seven years of experience in digital marketing and communications strategy to the team.


As modern space missions evolve in complexity, the role of software onboard spacecraft is undergoing a dramatic transformation. Spacecraft are no longer limited to basic telemetry and remote control. Today, onboard computing must support autonomous decision-making, intelligent data reduction, and rapid responses to unforeseen conditions—all while operating under strict constraints on power, size, and reliability. Artificial intelligence and machine learning (AI/ML) are the technologies driving this shift, but implementing them in the harsh, resource-constrained environment of space demands a new breed of embedded computing.

At the center of this evolution lies a fully European initiative combining open-source hardware, certified real-time software, and efficient AI frameworks. It’s a future built on RISC-V processors, safety-critical hypervisors, and edge-optimized AI engines—all integrated into a secure and flexible technology stack designed for space. This article explores how this fully European ecosystem is shaping the future of space autonomy.

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