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Google and Synaptics Launch Astra AI Microcontroller

The new Astra SL2610 series chip aims to provide energy-efficient AI processing for internet-connected edge devices.

Updated on Oct. 20, 2026 in Artificial Intelligence

Google and Synaptics Launch Astra AI Microcontroller

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Google and Synaptics have unveiled the Astra SL2610 series, an AI microcontroller designed for low-power edge computing applications. The chip integrates a Google Coral NPU with Synaptics hardware to enable always-on AI features for battery-constrained devices.

Why it matters

This collaboration aims to address the power demands of local AI processing by enabling complex tasks on devices with limited battery life. The design seeks to support sophisticated voice, vision, and motion capabilities without requiring constant cloud connectivity.

The Astra SL2610 microcontroller consumes less than 6 milliwatts during average on-device inference tasks. This efficiency represents a 40% reduction in energy consumption compared to other available edge AI processors.

The players

Google

This global technology company focuses on search, cloud computing, and hardware development, including the specialized Coral NPU platform.

Synaptics

The company specializes in developing human interface and edge-processing hardware, including silicon solutions for the Internet of Things.

The details

The platform combines Google's open-source Coral NPU with Synaptics' Torq NPU and Arm CPU cores to standardize machine learning frameworks through MLIR/IREE-based tools. It supports multimodal processing, allowing devices to handle vision, voice, and motion data simultaneously while remaining energy-efficient.

Timeline

  1. January 2025: Google and Synaptics announced their AI hardware partnership.

  2. May 2026: Developer platforms were showcased at Google I/O.

  3. October 14, 2026: The chip was previewed at the Research@ event.

  4. October 20, 2026: A formal demonstration occurs at Synaptics' Tech Day.

The Tech Race

The Astra SL2610 extends the capabilities of the Google Coral NPU platform by integrating it into a broader Synaptics-supported IoT architecture. This development marks a shift toward standardizing energy-efficient AI workflows across the highly fragmented edge computing market.

Users can expect devices with longer battery life that maintain advanced voice and vision features without frequent recharging. Developers gain a standardized open-source software stack that simplifies the integration of machine learning tasks into custom hardware.

The takeaway

The development of energy-efficient microcontrollers suggests a future where high-performance AI tasks move from the cloud to personal devices. Consumers should look for these efficiency improvements in upcoming smart home and wearable electronics as manufacturers prioritize local processing.

What happens next

A formal demonstration of the new hardware platform is scheduled to take place at Synaptics' Tech Day on October 20, 2026.

Further reading

For more background on how hardware innovations are shaping local model deployment, visit our Artificial Intelligence section.

Live Poll

Does more efficient AI in wearable devices make you more likely to use them?