What are the Pros and Cons of Using OSFPs or QSFP-DDs?

Picture of FiberMall

FiberMall

Answered on 2:30 am

Optical transceivers such as OSFP (Octal Small Form Factor Pluggable) and QSFP-DD (Quad Small Form Factor Pluggable Double Density) are integral to significant high-speed, high-density networking applications in data centers and telecommunications. Dealing with new network speeds and managing bandwidth needs, different factors might lead to a preference for one over the other.

Before listing the pros and cons, it is important to note the crucial differences between them:

1. Form Factor: OSFP is larger than QSFP-DD, resulting in a lower port density. However, this larger size allows OSFP to handle higher wattage, providing better heat dissipation and therefore potentially higher bandwidth per port in the future.

2. Compatibility: QSFP-DD was designed with backward compatibility with QSFP28 in mind.  You can use existing QSFP28 cables and modules in a QSFP-DD port.

 

Now, let’s discuss some of the pros and cons:

OSFP

Pros:

1. Higher Power Handling: OSFP can handle higher power up to 15W, accommodating future bandwidth needs. There is the potential to reach up to 800Gbps for future uses.

2. Thermal Efficiency: The larger form factor leads to better heat dissipation, which may become increasingly important as connections’ power utilization and density increase.

Cons:

1. Low Port Density: Due to their larger size, data center rack units fitted with OSFP ports have a lower overall port density compared to those using QSFP-DD.

2. No Backward Compatibility: OSFP is not backward compatible with existing form factors, which can complicate upgrades and increase costs.

 

QSFP-DD

Pros:

1. Backward Compatibility: QSFP-DD is backward compatible with QSFP, and QSFP28 modules.  This allows for easier upgrading while lowering costs by reusing existing hardware.

2. High Port Density: The smaller QSFP-DD form factor allows for more ports on a single switch, leading to a more compact and dense arrangement which can save precious space in data centers.

Cons:

1. Lower Power Handling: QSFP-DD power handling is lower than OSFP, making it harder to scale for future increased transmission rates.

2. Thermal Concerns: Due to the high port density and higher power demand for future standards, managing thermal dissipation may become a challenge.

The choice between QSFP-DD and OSFP will depend on your specific circumstances and long-term network goals. If you have existing QSFP infrastructure and you’re seeking a high-density configuration with measured growth in mind, QSFP-DD is a solid choice. If, however, you’re preparing for immense growth and want to set up your data center for future advancements (especially those requiring high power and efficient thermal handling), OSFP could be the better choice.

People Also Ask

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

RoCEv2 Explained: The Ultimate Guide to Low-Latency, High-Throughput Networking in AI Data Centers

In the fast-evolving world of AI training, high-performance computing (HPC), and cloud infrastructure, network performance is no longer just a supporting role—it’s the bottleneck breaker. RoCEv2 (RDMA over Converged Ethernet version 2) has emerged as the go-to protocol for building lossless Ethernet networks that deliver ultra-low latency, massive throughput, and minimal CPU

Comprehensive Guide to AI Server Liquid Cooling Cold Plate Development, Manufacturing, Assembly, and Testing

In the rapidly evolving world of AI servers and high-performance computing, effective thermal management is critical. Liquid cooling cold plates have emerged as a superior solution for dissipating heat from high-power processors in data centers and cloud environments. This in-depth guide covers everything from cold plate manufacturing and assembly to development requirements

Related Articles

800g sr8 and 400g sr4

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

Read More »
400G global market

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)

Read More »
RoCEv2

RoCEv2 Explained: The Ultimate Guide to Low-Latency, High-Throughput Networking in AI Data Centers

In the fast-evolving world of AI training, high-performance computing (HPC), and cloud infrastructure, network performance is no longer just a supporting role—it’s the bottleneck breaker. RoCEv2 (RDMA over Converged Ethernet version 2) has emerged as the go-to protocol for building lossless Ethernet networks that deliver ultra-low latency, massive throughput, and minimal CPU

Read More »
liquid cooling

Comprehensive Guide to AI Server Liquid Cooling Cold Plate Development, Manufacturing, Assembly, and Testing

In the rapidly evolving world of AI servers and high-performance computing, effective thermal management is critical. Liquid cooling cold plates have emerged as a superior solution for dissipating heat from high-power processors in data centers and cloud environments. This in-depth guide covers everything from cold plate manufacturing and assembly to development requirements

Read More »
Scroll to Top