Thursday, December 18, 2025

Neural Network Traffic Analyser for Trident 5-X12 chip

The chip’s AI capabilities, which can be activated after deployment, are designed to enhance certain computing tasks that software alone cannot sufficiently optimize.

Broadcom Inc. has announced the integration of a groundbreaking on-chip neural-network inference engine, NetGNT (Networking General-purpose Neural-network Traffic-analyzer), in its new Trident 5-X12 chip, which is software-programmable and field-upgradable. This AI (artificial intelligence) integration allows data center operators to train models to detect specific types of undesirable traffic and then input a version of this model into the chip to assist in traffic routing.

NetGNT enhances the chip’s capabilities by working alongside the standard packet-processing pipeline. Unlike the traditional one-packet/one-path approach, NetGNT employs machine learning to analyze traffic patterns spanning the entire chip. This ability allows NetGNT to identify and manage complex traffic patterns like ‘incast’ in AI/ML workloads.

In such cases multiple packet flows converge on a single port, potentially causing congestion. Operating in hardware at full line rate, NetGNT manages these issues without affecting throughput or latency.

From Broadcom Website

Trident 5-X12 consumes 25% lower power per 400G port compared to the Trident 4-X9. It has enhanced telemetry capabilities for deeper real-time network insights, beneficial for training NetGNT. It supports 800G ports with Broadcom’s 100G-PAM4 SerDes, facilitating up to 4m DAC and linear optics connections.

It is fully programmable with the Network Programming Language (NPL) for in-field feature upgrades. NPL compatibility with the Trident 4 family is widely used for customized switch applications. It is also compatible with next-generation CPU & GPU servers using 400G NICs.

The addition of AI to a portion of the chip’s silicon not only improves overall efficiency but also enhances the chip’s ability to handle tasks like network security. The Trident 5-X12 boasts typical upgrades such as reduced power consumption and increased network bandwidth. Broadcom is currently shipping the Trident 5-X12 devices to selected customers.

Shivangi Kharoo
Shivangi Kharoo
Shivangi Kharoo is an emerging professional in the field of Electronics and VLSI Design, with specialized training in Analog Layout Design using CADENCE Virtuoso and hands-on experience through a dedicated VLSI internship. She brings strong domain expertise in Digital and Analog Electronics, along with a solid command of Verilog HDL, Fundamentals of Electronics, and VLSI system design.

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