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Home » Marvell previews 51.2 Tbps Teralynx switch

Marvell previews 51.2 Tbps Teralynx switch

March 2, 2023
in Semiconductors
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Marvell Technology announced its Teralynx 10 Ultra-Low Latency Programmable 51.2 Tbps switch chip. It can be paired with the newly-annouced Nova PAM4 1.6 Tbps electro-optics platform for handling high-bandwidth workloads in artificial intelligence (AI)/machine learning (ML) and cloud data center networks. The new platform quadruples the bandwidth of Marvell’s widely-deployed 12.8 Tbps networking solutions.

Key features of Teralynx 10 include:

  • Up to 512 SerDes lanes supporting 25 Gbps, 50 Gbps and 100 Gbps I/O speeds to support a wide range of switch systems and connectivity
  • Congestion-aware routing to minimize network bottlenecks and congestion
  • Permutable flex-forwarding to enable operators to program new packet forwarding protocols as networks evolve
  • Teralynx Flashlight telemetry with support for P4 in-band network telemetry

Marvell notes that its cloud-optimized Teralynx 10 and Nova networking platform ensures interoperability between switch and optics, thereby reducing the burden of validation and interoperability testing for customers and accelerating the deployment of these next-generation technologies. 

“Data center operators are challenged to meet the networking demands that applications such as artificial intelligence and machine learning are driving in the cloud,” said Nariman Yousefi, executive vice president, Automotive, Coherent DSP and Switch Group at Marvell. “To address this demand, leading operators are planning to upgrade directly from 12.8 Tbps to 51.2 Tbps. Utilizing the industry’s lowest latency programmable switch, Teralynx 10, with the industry’s first 1.6 Tbps optical platform, Nova, offers data center operators a cloud-optimized platform to scale and address the growing demands of AI/ML applications.”

Via: Marvell
Tags: MarvellSwitching
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Jim Carroll

Jim Carroll

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

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