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EN
New AI-native processor for edge applications from Ambient Scientific offers 100x power and performance improvements over 32-bit MCUs
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CIE
Ambient Scientific, the AI processor company, has launched the GPX10 Pro, a system-on-chip (SoC) which uses AI-native silicon technology to enable high-performance AI inference on battery-powered edge devices.
Offering up to 100x improvements in power, performance and area compared to conventional 32-bit microcontrollers, the GPX10 Pro is based on Ambient Scientific’s proprietary DigAn silicon architecture.
The GPX10 Pro also features an Arm Cortex-M4F CPU core for classic control functions.
Ambient Scientific provides the comprehensive Nebula AI enablement toolchain to accelerate the training, development and deployment of AI models to the GPX10 and GPX10 Pro.
Ambient Scientific also provides the SenseMesh hardware sensor fusion layer, which enables low-latency sensor fusion by connecting multiple sensors to a core via a tightly-coupled mesh.
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