An infographic titled "800G OSFP vs QSFP-DD: Which Is Best for NVIDIA Quantum-2?" The image shows two contrasting network setups on a dark blue circuit board background. On the left, a blue-themed setup depicts "OSFP" with server racks and a central chip, connected by blue lines. On the right, an orange-themed setup depicts "QSFP-DD" with server racks, a central chip, and a cloud icon, connected by orange lines. In the center, a circle with "NVIDIA Quantum-2" links the two distinct sides, highlighting their integration. A legend at the bottom uses blue for OSFP and orange for QSFP-DD.

800G OSFP vs QSFP-DD: Which Is Best for NVIDIA Quantum-2?

Learn whether OSFP or QSFP-DD is best for NVIDIA Quantum-2. Compare thermal performance, cost, compatibility, and explore PHILISUN 800G SR8 solutions.

If you’re deploying NVIDIA Quantum-2 for large-scale AI training or HPC fabrics, you already know the pressure:

Cluster congestion, thermal limits, and optical module compatibility can make or break your network’s performance.

A wrong decision between 800G OSFP vs QSFP-DD can result in:

  • 15–30% higher cluster latency
  • 10–20W additional thermal burden per switch port
  • Compatibility issues with 800G AOCs/optics
  • Bottlenecks in GPU-to-GPU communication

This guide gives you a clear, engineering-grade comparison of OSFP vs QSFP-DD — with a focus on what works best for NVIDIA Quantum-2.

An infographic titled "800G OSFP vs QSFP-DD: Which Is Best for NVIDIA Quantum-2?" The image shows two contrasting network setups on a dark blue circuit board background. On the left, a blue-themed setup depicts "OSFP" with server racks and a central chip, connected by blue lines. On the right, an orange-themed setup depicts "QSFP-DD" with server racks, a central chip, and a cloud icon, connected by orange lines. In the center, a circle with "NVIDIA Quantum-2" links the two distinct sides, highlighting their integration. A legend at the bottom uses blue for OSFP and orange for QSFP-DD.

The Rise of 800G in AI and HPC Networks

NVIDIA Quantum-2 Architecture Overview

Quantum-2 is NVIDIA’s latest 400G/800G InfiniBand platform, supporting:

  • 64-port 400Gb/s switches
  • 128 lanes of 100G PAM4 SerDes
  • Up to 1.6Tb/s per GPU node (with multiple NICs)
  • Direct support for 800G optical links

Its goal: eliminate scaling bottlenecks during distributed training by increasing interconnect bandwidth.

800G’s Role in AI Cluster Interconnects

AI clusters depend on:

  • GPU-to-GPU throughput
  • Network-induced training slowdown
  • Lowering collective communications latency (All-Reduce, All-Gather)

800G optics—especially SR8 MPO-16 modules—are now essential for rack-to-rack GPU communication in dense clusters.

See PHILISUN’s 800G SR8 optics here:

👉 PHILISUN 800G SR8 MPO-16 Module

Technical Deep Dive — OSFP vs QSFP-DD

Comparing Size and Port Density

SpecOSFPQSFP-DD
WidthLargerSmaller
Power envelopeUp to 25–27W+~18–20W typical
CoolingSuperior airflowMore limited
Port densityLowerHigher

Takeaway:

OSFP = more power + better thermal handling

QSFP-DD = higher port density per 1RU switch

Heat Dissipation & Thermal Management

800G optics require 16 x 100G PAM4 laser lanes, which generate substantial heat.

  • OSFP was designed with thermal performance prioritised
  • QSFP-DD is increasingly thermally constrained at 800G+

As module power climbs above 20–24W, OSFP becomes a superior choice for long-term reliability.

Mechanical Design and Port Compatibility

OSFP cannot be inserted into QSFP-DD ports, and vice versa.

  • NVIDIA Quantum-2 switches come in both OSFP and QSFP-DD variants
  • NICs for Quantum-2 depend on the system integrator (HGX platforms often use OSFP)

For many high-density GPU nodes, OSFP is the default form factor due to thermals.

Performance and Cost Considerations for 800G Modules

Assessing Power Consumption

Typical 800G module power (market avg):

  • OSFP 800G SR8: 16–20W
  • QSFP-DD 800G SR8: 18–22W

QSFP-DD tends to run hotter at similar reach due to form-factor constraints.

Cost Per Bit

As manufacturing scales, the cost gap is shrinking.

Currently:

  • QSFP-DD may have a slightly lower cost
  • OSFP offers better long-term reliability → reduces cooling costs

Vendor Ecosystem and Supply Chain

OSFP adoption has grown rapidly in:

  • AI GPU clusters
  • 400G/800G Ethernet
  • Quantum-2 IB switches
  • Meta, Microsoft, Baidu, Alibaba clusters

QSFP-DD is still widely used in:

  • Cloud data centres
  • Enterprise networks

Deployment Strategies with NVIDIA Quantum-2

DAC/AOC Use in the Same Rack

  • DAC = cost-effective for ≤3m
  • AOC = preferred for ≤30m
  • 800G AOCs use OSFP or QSFP-DD, depending on switch model

Optical Transceivers for Row-to-Row Links

For 20–50m distance inside large accelerated compute clusters:

  • 800G SR8 OSFP/QSFP-DD
  • MPO-16 multimode cabling

PHILISUN’s SR8 is fully compatible with NVIDIA Quantum-2:

👉 800G SR8 MPO-16 Transceiver

PHILISUN’s 800G Compatibility Solutions

PHILISUN provides:

  • SR8 OSFP/QSFP-DD modules
  • MPO-16 multimode jumpers
  • 100G/400G/800G product families
  • Vendor-tested interoperability

Future-Proofing the 800G Network

Scalability to 1.6T Networks

OSFP is already the chosen form factor for 1.6T, due to thermal headroom.

QSFP-DD 1.6T is possible but not ideal.

Choosing the Right Form Factor for Longevity

Use this rule:

  • If thermals & long-term reliability are top priority → OSFP
  • If maximum port density is more important → QSFP-DD

Conclusion

If your priority is:

  • Thermal stability
  • High reliability for dense AI training
  • Future-proofing toward 1.6T

Then OSFP is the better choice.

If you need:

  • High port density
  • Lower upfront cost
  • Compatibility with existing QSFP ecosystems

Then QSFP-DD remains suitable, especially for 800G SR8 short-reach links.

For either architecture, PHILISUN provides fully compatible 800G optical transceivers and MPO cabling to support Quantum-2 deployments.

FAQ

Q1: Is OSFP more reliable than QSFP-DD at 800G?

Yes. OSFP has better thermal headroom, which improves long-term module stability.

Q2: Do NVIDIA Quantum-2 switches support both OSFP and QSFP-DD?

Quantum-2 switches are available in both OSFP and QSFP-DD variants. Check the model before ordering modules.

Q3: Are PHILISUN 800G SR8 transceivers compatible with Quantum-2?

Yes. PHILISUN 800G SR8 modules are fully compatible with Quantum-2 800G optical ports.

Q4: What fiber is required for 800G SR8?

You need MPO-16 OM4/OM5 multimode fiber for SR8 optical connectivity.