The AI accelerator underwent rigorous testing by NASA's Electronic Parts and Packaging Program (NEPP), which evaluated its durability under proton and heavy ion radiation to assess its performance in space-like conditions.
NEPP's testing initiative is part of broader efforts to enable full autonomy in space operations. While advancements in machine learning and computer vision have significantly improved ensor processing, many embedded central processing units (CPUs) lack the computational power needed for these algorithms.
Although graphics processing units (GPUs) offer high performance, they often consume more than 40 watts, making them impractical for most space missions. To address these challenges, NEPP evaluated several commercially available low-power AI accelerators, including EdgeCortix's SAKURA-I, to determine their feasibility for space applications.
Radiation testing at Massachusetts General Hospital and Lawrence Berkeley National Labs confirmed that the SAKURA-I accelerator is capable of withstanding radiation exposure in environments such as low Earth orbit, geosynchronous orbit, and the lunar surface.
The testing showed that the accelerator did not experience destructive failures, and transient radiation effects were significantly less frequent compared to similar devices. These findings highlight the potential of commercially available AI accelerators to enhance space operations by enabling more complex, efficient, and cost-effective missions.
"The radiation resilience demonstrated by SAKURA-I marks a significant milestone in the advancement of AI-driven space exploration," said Sakyasingha Dasgupta, CEO and Founder of EdgeCortix.
"Processing billions of data points swiftly and accurately at the ultimate edge - space - without relying on Earth-based systems for analysis and decision-making was once considered out of reach. NASA's testing confirms that high-performance, autonomous data processing during spaceflight is no longer just a possibility but a reality. EdgeCortix stands ready to deliver cutting-edge AI solutions that empower autonomous space applications today."
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