Dell Networking NVIDIA Quantum-2 QM9790

Name: NVIDIA Quantum-2 QM9790
Brand: Dell
SKU: nvidia-quantum-2-qm9790

High-performance 800 GbE multi-rate AI fabric switch.

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SKU: nvidia-quantum-2-qm9790

Ports: 64x 400 Gb/s over 32 OSFP cages
Capacity: 25.6 Tbps
NPU: NVIDIA Quantum™-2

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Overview of AI Switches

High-performance, high-density 100/400/800 GbE multi-rate aggregation and AI fabric switches.

High-performance switches with low latency and high throughput for deploying advanced AI clusters effectively.

Best For:

AI training clusters & GPU fabrics
High-performance computing (HPC)
Low-latency data center workloads

Powerful fabrics for Al workloads

Transform your Al infrastructure with ultra-fast 800 Gbps networking, seamless InfiniBand and Ethernet connectivity, advanced congestion control, and dynamic load balancing powered by SONiC. Scale effortlessly and accelerate Al innovation with future-ready, high-performance solutions built for demanding workloads.

Overview of NVIDIA Quantum-2 QM9790

NVIDIA Quantum-2 QM9790 Key Specifications

Engineered for performance-intensive environments, this switch eliminates network bottlenecks with ultra-fast throughput and low latency, making it ideal for AI, HPC, and data-heavy workloads.

NPU

NVIDIA Quantum™-2

Switch Capacity

25.6 Tbps

Forwarding

66.5 Bpps

Ports

64x 400 Gb/s over 32 OSFP cages

Not sure if this is the right model?

If you're comparing NVIDIA Quantum-2 QM9790 vs NVIDIA Quantum-2 QM9701 or NVIDIA Quantum-2 QM9700 — Choose this if you're running GPU clusters or HPC workloads and need low latency with high throughput.

View full comparison

Features

Equip your Al deployments with open, high-bandwidth Ethernet fabrics that deliver nonblocking performance, low latency, and seamless scalability for GPU clusters.

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Flexible Al networking

Equip your Al deployments with open, high-bandwidth Ethernet fabrics that deliver nonblocking performance, low latency, and seamless scalability for GPU clusters.

Seamless transformation

Modernize enterprise IT and drive efficiency with Al adoption. Upgrade networks for speed, throughput, and low latency to support advanced Al capabilities effectively.

Efficient innovation

Harness advanced features like RoCEv2, enhanced hashing, and optimized throughput to empower sustainable, high-performance Al deployments.

Future-ready Al fabrics

Build infrastructure that evolves with your business, featuring PowerSwitch Z-series capable of supporting massive data transfers and next-gen workloads at up to 800 GbE speeds.

Common Mistakes When Choosing an AI Switch

Choosing based on specs instead of workload
Fix: Start with your environment. Match your switch to actual traffic patterns. GPU cluster fabrics need different capabilities than general enterprise networking.
Also consider: NVIDIA Quantum-2 QM9701, NVIDIA Quantum-2 QM9700
Not planning for future growth
Fix: Choose a model that allows for expansion without replacing your core switch.
Consider upgrading to: NVIDIA Quantum-X800 Q3401-RD, NVIDIA Quantum-X800 Q3400-RA

Technical Details

Hardware Specifications

Complete technical specifications for the NVIDIA Quantum-2 QM9790.

PERFORMANCE

NPUNVIDIA Quantum™-2

Switch Capacity25.6 Tbps

Forwarding Capacity66.5 Bpps

CONNECTIVITY

Ports64x 400 Gb/s over 32 OSFP cages

For full specifications, please reference the datasheet (PDF).

Frequently Asked Questions

Expand All | Collapse All

Dell offers high-density Ethernet up to 800 GbE (e.g., PowerSwitch Z9864F-ON with 64x 800 GbE) and 400 GbE options (e.g., Z9664F-ON with 64x 400 GbE). For InfiniBand, NVIDIA Quantum-X800 delivers 800 Gb/s per port with up to 144 ports per chassis, while Quantum-2 provides 400 Gb/s. This gives you the flexibility to scale training and inference fabrics as your GPU footprint grows.

Yes. Dell AI Ethernet switches support RoCEv2 and advanced congestion control features designed for consistent, low-latency performance across GPU clusters. Enhanced hashing and optimized throughput help maintain stable job completion times under load.

The PowerSwitch Z9864F-ON delivers sub-microsecond latency (<700 ns), with nonblocking throughput across 64x 800 GbE ports. This performance helps minimize step times in distributed training and reduces fabric-induced stalls.

Yes. Many environments use Ethernet for the broader data center and storage access, and InfiniBand for dedicated training clusters. Dell supports both approaches, and you can interoperate via gateways or data pipeline design while maintaining separate, optimized fabrics.

Start with nonblocking leaf-spine tiers sized to your GPU node counts and east-west traffic. Use 400/800 GbE on leafs and spines with balanced uplinks, and follow validated designs for hashing, buffer tuning, and RoCEv2 settings. Dell publishes reference architectures to accelerate and de-risk deployments.

800 GbE platforms like Z9864F-ON use OSFP112 ports, while 400 GbE systems like Z9664F-ON use QSFP56-DD. Your choice of DACs, AOCs, or optics will depend on distance and power budgets, and Dell provides qualified transceivers and cables for each platform.

Yes. Options include NVIDIA Spectrum SN2201 (48x 1G BASE-T with QSFP28 uplinks) and Dell PowerSwitch S3248T-ON (48x 1G with higher-speed uplinks). Dedicated OOB networks improve reliability, upgrade safety, and troubleshooting for production fabrics.

Dell AI switches are validated with PowerEdge AI servers and PowerScale AI storage to maintain high throughput and predictable latency end-to-end. You can use published reference designs to size links, choose topology, and align storage bandwidth to GPU demand.

Yes. Dell Design Services for AI Networking tailors the fabric to your models, GPU counts, and growth plan, and ProDeploy accelerates rollout with best practices. ProSupport Infrastructure Suite delivers 24/7 assistance to keep your AI network performing at its best.

Yes. PowerSwitch Z9864F-ON earned TMC's 2025 Unified Communications Product of the Year, with Z9664F-ON and Z9432F-ON also recognized in prior years. Independent industry accolades reflect performance and innovation for high-capacity data center networking.

Product Comparison

Compare InfiniBand switches

See how the NVIDIA Quantum-2 QM9790 stacks up against other models in the lineup.

Model

NPU

Capacity

Ports

NVIDIA Quantum-X800 Q3401-RD

NVIDIA Quantum™ 3

115.2 Tbps

144 x 800Gb/s over 72 OSFP cages

NVIDIA Quantum-X800 Q3400-RA

NVIDIA Quantum™ 3

115.2 Tbps

144 x 800Gb/s over 72 OSFP cages

NVIDIA Quantum-X800 Q3200-RA

NVIDIA Quantum™ 3

57.6 Tbps

72x 800 Gb/s over 36 OSFP cages

NVIDIA Quantum-2 QM9790 Current

NVIDIA Quantum™-2

25.6 Tbps

64x 400 Gb/s over 32 OSFP cages

NVIDIA Quantum-2 QM9701

NVIDIA Quantum™-2

25.6 Tbps

64x 400 Gb/s over 32 OSFP cages

NVIDIA Quantum-2 QM9700

NVIDIA Quantum™-2

25.6 Tbps

64x 400 Gb/s over 32 OSFP cages

Ethernet Switches

High performance, 400-800Gb/s networking designed for massive-scale AI.

Explore Ethernet Switches

Out-of-Band Management

Dedicated switches for management, orchestration, and troubleshooting of production infrastructure.

Explore Out-of-Band Management

Downloads

Documentation & Resources

Access datasheets and technical resources for the NVIDIA Quantum-2 QM9790.

Hardware Spec Sheet

Complete hardware specifications, port configurations, and performance data.

Download PDF

Z9864F-ON vs. Quantum-X800

Head-to-head technical assessment of 800GbE Ethernet vs. NDR InfiniBand.

Read Assessment

Building AI Fabrics

Deep dive into DCQCN, PFC, SHARP, and 800G fabric technologies.

Read Guide

Scaling to 800G

Strategic blueprint for trillion-parameter AI: topology, CPO, and roadmap.

Read Blueprint

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Also Consider

NVIDIA Quantum-2 QM9701

Spine DC Power Scalable Fabric

NPU: NVIDIA Quantum™-2
Capacity: 25.6 Tbps
Ports: 64x 400 Gb/s over 32 OSFP cages

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NVIDIA Quantum-2 QM9700

Spine AC Power Standard Deploy

NPU: NVIDIA Quantum™-2
Capacity: 25.6 Tbps
Ports: 64x 400 Gb/s over 32 OSFP cages

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NVIDIA Quantum-X800 Q3401-RD

Core DC Power Hyperscale AI

NPU: NVIDIA Quantum™ 3
Capacity: 115.2 Tbps
Ports: 144 x 800Gb/s over 72 OSFP cages

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Dell Networking NVIDIA Quantum-2 QM9790

High-performance, high-density 100/400/800 GbE multi-rate aggregation and AI fabric switches.

Powerful fabrics for Al workloads

NVIDIA Quantum-2 QM9790 Key Specifications

Not sure if this is the right model?

Common Mistakes When Choosing an AI Switch

Hardware Specifications

PERFORMANCE

CONNECTIVITY

Frequently Asked Questions

What speeds and port densities do Dell AI switches support?

Do these switches support RoCEv2 for AI/ML fabrics?

How low is the latency on 800 GbE?

Can I mix Ethernet and InfiniBand in one AI environment?

How do I design a leaf-spine for AI training?

Which cables and optics are supported at 800 GbE and 400 GbE?

Do you offer out-of-band (OOB) management switches?

How does this integrate with my servers and storage for AI?

Do you provide services to design and deploy AI fabrics?

Are there third-party reviews or awards I can reference?

Compare InfiniBand switches

Ethernet Switches

Out-of-Band Management

Documentation & Resources

Also Consider

NVIDIA Quantum-2 QM9701

NVIDIA Quantum-2 QM9700

NVIDIA Quantum-X800 Q3401-RD