- Casey
John Doe
Answered on 8:18 am
A 100G SWDM4 transceiver is a type of optical transceiver that uses short wavelength division multiplexing (SWDM) technology to transmit 100G data over a standard duplex multimode fiber (MMF). It has four channels of 25G each, and uses four wavelengths in the 850nm window. It can support up to 100m over OM4 MMF or up to 150m over OM5 MMF. It is compatible with QSFP28 form factor and LC connectors. It is a cost-effective and easy-to-deploy solution for upgrading data centers from 10G/40G to 100G Ethernet without changing the existing MMF infrastructure.
It is supported on all Arista QSFP 100G ports and can be used for links up to 70m of OM3 fiber or up to 100m of OM4 fiber. The SWDM4 Tx port transmits 100G data over 4 x 25Gbps wavelengths, and the Rx port receives data over 4 x 25Gbps wavelengths. The wavelengths are in the “short wavelength” range (850nm–940nm).
People Also Ask
Related Articles
800G SR8 and 400G SR4 Optical Transceiver Modules Compatibility and Interconnection Test Report
Version Change Log Writer V0 Sample Test Cassie Test Purpose Test Objects：800G OSFP SR8/400G OSFP SR4/400G Q112 SR4. By conducting corresponding tests, the test parameters meet the relevant industry standards, and the test modules can be normally used for Nvidia (Mellanox) MQM9790 switch, Nvidia (Mellanox) ConnectX-7 network card and Nvidia (Mellanox) BlueField-3, laying a foundation for
NVIDIA GB200 NVL72: Defining the New Benchmark for Rack-Scale AI Computing
The explosive growth of Large Language Models (LLM) and Mixture-of-Experts (MoE) architectures is fundamentally reshaping the underlying logic of computing infrastructure. As model parameters cross the trillion mark, traditional cluster architectures—centered on standalone servers connected by standard networking—are hitting physical and economic ceilings. In this context, NVIDIA’s GB200 NVL72 is
In-Depth Analysis Report on 800G Switches: Architectural Evolution, Market Landscape, and Future Outlook
Introduction: Reconstructing Network Infrastructure in the AI Era Paradigm Shift from Cloud Computing to AI Factories Global data center networks are undergoing the most profound transformation in the past decade. Previously, network architectures were primarily designed around cloud computing and internet application traffic patterns, dominated by “north-south” client-server models. However,
Why Is It Necessary to Remove the DSP Chip in LPO Optical Module Links?
If you follow the optical module industry, you will often hear the phrase “LPO needs to remove the DSP chip.” Why is this? To answer this question, we first need to clarify two core concepts: what LPO is and the role of DSP in optical modules. This will explain why
Global 400G Ethernet Switch Market and Technical Architecture In-depth Research Report: AI-Driven Network Restructuring and Ecosystem Evolution
Executive Summary Driven by the explosive growth of the digital economy and Artificial Intelligence (AI) technologies, global data center network infrastructure is at a critical historical node of migration from 100G to 400G/800G. As Large Language Model (LLM) parameters break through the trillion level and demands for High-Performance Computing (HPC)
Key Design Constraints for Stack-OSFP Optical Transceiver Cold Plate Liquid Cooling
Foreword The data center industry has already adopted 800G/1.6T optical modules on a large scale, and the demand for cold plate liquid cooling of optical modules has increased significantly. To meet this industry demand, OSFP-MSA V5.22 version has added solutions applicable to cold plate liquid cooling. At present, there are
NVIDIA DGX Spark Quick Start Guide: Your Personal AI Supercomputer on the Desk
NVIDIA DGX Spark — the world’s smallest AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip — brings data-center-class AI performance to your desktop. With up to 1 PFLOP of FP4 AI compute and 128 GB of unified memory, it enables local inference on models up to 200 billion parameters and fine-tuning of models