• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Monday, June 1, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » Broadcom ’s next Trident switching silicon doubles capacity, adds neural engine

Broadcom ’s next Trident switching silicon doubles capacity, adds neural engine

December 1, 2023
in Semiconductors
A A

Broadcom announced an on-chip, neural-network inference engine called NetGNT (Networking General-purpose Neural-network Traffic-analyzer) in its new, software-programmable Trident 5-X12 chip for top-of-rack (ToR) data center switches.

The new Trident 5-X12 chip provides 16.0 Tbps of bandwidth, which is double that of the Broadcom’s current Trident 4-X9. It also adds support for 800G ports, allowing direct connection to Broadcom’s Tomahawk 5, which is used as the spine/fabric in the newest compute and AI/ML data centers.

Broadcom says its new chip is uniquely positioned to enable a 1RU data center ToR supporting 48x200G downlink ports and 8x800G uplink ports.

NetGNT works in parallel to augment the standard packet-processing pipeline. The standard pipeline is one-packet/one-path, meaning that it looks at one packet as it takes a specific path through the chip’s ports and buffers. NetGNT, in contrast, is an ML inference engine and can be trained to look for different types of traffic patterns that span the entire chip.

For example, NetGNT can look for a traffic pattern common in AI/ML workloads called “incast” in which many packet flows all converge on the same port and buffer at roughly the same time causing congestion. NetGNT can recognize this pattern in real-time as it begins and invoke congestion-control techniques to avoid degraded network performance. And since NetGNT runs in hardware at full line rate— there is no impact to throughput or latency.

“We continue to push the envelope and introduce brand-new technologies such as NetGNT to the market. We also listen very closely to our customers who have made it clear that one size does not fit all. They rely on us to deliver a broad portfolio of chips, customized for different applications,” said Ram Velaga, senior vice president and general manager, Core Switching Group, Broadcom. “Trident 5-X12 is the most power-efficient ToR (Top of Rack) on the market, while still adding cutting-edge new features that our customers have come to expect from an innovator such as Broadcom.”

Trident 5-X12 highlights

  • Uses 25% less power per 400G port than current market-leading Trident 4-X9
  • Adds support for 800G ports using Broadcom’s industry-leading 100G-PAM4 SerDes, enabling up to 4m DAC and Linear Optics
  • Supports the transition to next-generation CPU & GPU servers using 400G NICs Adds NetGNT to enable new capabilities along with improved network efficiency and performance
  • Adds enhanced telemetry capabilities allowing deeper real-time insights into network operations, which can then be used to train NetGNT Increases forwarding/policy scales to support ever-expanding network sizes
  • Maintains legacy API compatibility with current Broadcom switch chips
  • Fully-programmable using NPL (Network Programming Language), allowing in-field upgrades to add features such as new telemetry, security and traffic engineering
  • NPL-compatible with current Trident 4 family, which is already in use by a large number of customers to develop their own customized switch applications
  • Support for Enterprise SONiC and SAI promote rapid and seamless integration into data center operations frameworks
Source: Broadcom
ShareTweetShareSummarizeSummarize
Previous Post

Malaysia’s Axiata picks AWS as its primary cloud

Next Post

Broadcom ’s new Trident switching silicon doubles capacity, adds neural engine

Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

Related Posts

Vera Rubin Cluster
AI Infrastructure

NVIDIA Vera Rubin Enters Full Production 

May 31, 2026
All

NVIDIA Adds In-Silicon Security to Vera BlueField-4 STX 

May 31, 2026
Data Centers

Dell Ships Liquid-Cooled Racks with Vera Rubin NVL72 to CoreWeave

May 31, 2026
All

Google Details How Its Data Center and Global Networks

May 31, 2026
AI Infrastructure

SoftBank Targets 5 GW of AI Infrastructure in France 

May 31, 2026
Clouds and Carriers

Telefónica and Google Cloud Launch Sovereign Cloud for Spain

May 31, 2026
Next Post

H3C confirms performance of its new 800G CPO Ethernet switch

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version