Ambient Scientific Unveils GPX10 Pro AI Processor for Edge Devices

Ambient Scientific has introduced the GPX10 Pro, a new system-on-chip (SoC) designed to enhance AI performance on battery-powered edge devices. Announced in a press release, the GPX10 Pro utilizes innovative AI-native silicon technology, providing up to 100 times improvements in power, performance, and area compared to traditional 32-bit microcontrollers.

The GPX10 Pro supports various neural network models, including CNNs, RNNs, LSTMs, and GRUs, enabling efficient AI inference directly at the edge. It features Ambient Scientific's proprietary DigAn® silicon architecture, which optimizes matrix-multiply operations and activation flows, significantly reducing the overheads associated with conventional processors.

This highly integrated SoC includes two sets of five MX8 AI cores, capable of performing up to 2,560 multiply-accumulate operations per cycle, achieving a peak AI throughput of 512 GOPs. The GPX10 Pro also incorporates an Arm® Cortex®-M4F CPU core for traditional control functions and supports a wide range of sensors through its advanced interfacing capabilities.

Ambient Scientific provides the Nebula™ AI enablement toolchain to facilitate the development and deployment of AI models on the GPX10 Pro, compatible with leading frameworks like TensorFlow, Keras, and ONNX. The GPX10 Pro is currently available for sampling, with volume production expected to commence in Q1 2026.