Aeonsemi Unveils Praxium Ethernet PHYs for Robots and Autonomous Vehicles

Sep 22, 2026
Aeonsemi introduced the Praxium family of Ethernet PHYs, with data rates up to 10 Gbps for cameras, LiDAR and network controllers in robots and autonomous vehicles.

Aeonsemi announced in a press release the Praxium family of multi gigabit Ethernet PHYs for cameras, LiDAR, zone controllers and network backbones in robots, autonomous vehicles and other machines. The chips provide data rates up to 10 Gbps in a 6 × 6 mm QFN package.

Praxium supports IEEE 802.3ch Ethernet over shielded twisted pair, along with coax and miniature twinax cabling. The family includes three single port models supporting different combinations of 2.5G, 5G and 10G speeds, plus a quad port model supporting all three speeds.

Features include power consumption as low as 350 mW for specified asymmetric 10 Gbps sensor links, time synchronization and a MACsec security engine. The devices are designed for AEC-Q100 Grade 2 qualification. Aeonsemi is sampling the AS31x1x devices with lead customers and plans volume production in the fourth quarter of 2026.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.