Ambient Scientific announces GPX10PRO SoC availability on DigiKey
The chip is designed for on-device AI inference with low latency and extended battery life for medical devices.
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Fabless semiconductor company developing ultra-low-power AI processors
ambientscientific.aiLast updated
In short: Ambient Scientific launched the GPX10PRO AI-native processor and developer tools to improve power efficiency for edge AI applications.
The chip is designed for on-device AI inference with low latency and extended battery life for medical devices.
CEO GP Singh explains at EDGE AI FOUNDATION why performance density per unit area, cost, and power is critical for Physical AI.
The chip offers 100x improvements over 32-bit MCUs, features 10 programmable AI cores, and is ideal for battery-powered edge AI.
The SDK includes EdgeSphere GUI, upgraded compiler, and supports wake word detection. It is streamlined for faster development.
Unique chip architecture of new GPX10 Pro from Ambient Scientific features 10 programmable AI cores which implement a custom AI-optimized instruction set Ideal for battery-powered...
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