The Mellanox QM9700 provides high-density InfiniBand switching for data centre fabrics that need to scale efficiently. As a flagship NDR spine with 64×400G ports and MLNX-OS management, it helps reduce fabric complexity and latency in demanding AI and HPC environments.
Guide price: Price range: £18,995.00 through £27,995.00 Ex. VAT
As AI, simulation and distributed compute clusters grow denser, infrastructure teams need more bandwidth, fewer hops and cleaner fabric design without adding operational drag.
Mellanox QM9700 is an Nvidia InfiniBand fabric switch built for spine roles in large production clusters, especially where AI training and HPC traffic demands consistent east-west throughput. With 64×400G NDR ports in 1U, it gives design teams the density needed to build tightly packed fabrics without expanding the switching footprint.
The switch’s 51200 Gbps switching capacity and 32×OSFP twin-port layout support fabric designs that prioritise radix and minimise hop count. That matters when cluster growth, cable management and latency budgets all need to stay under control at the same time.
In practice, the QM9700 helps keep inter-node traffic moving across the cluster with less fabric complexity. It supports larger scale-out deployments while giving teams more room to expand compute without reworking the network architecture.
If you are planning a new InfiniBand spine or refreshing a dense AI fabric, our team can help assess where the Mellanox QM9700 fits your production design.
The Mellanox QM9700 is a spine-layer networking switch for high-bandwidth data centre fabrics, providing a compact platform for building scalable interconnect architecture with validated 400G NDR capacity.
High-Density Spine Design
The switch is positioned for spine deployment and supports 64×400G NDR ports, enabling dense fabric aggregation in the core layer.
Twin-Port OSFP Architecture
The platform uses 32×OSFP twin-port connectivity to present the stated 64×400G NDR port configuration in a compact switching design.
High-Capacity Fabric Throughput
The switching architecture provides 51,200 Gbps of capacity to support high-bandwidth spine traffic flows.
Fabric Expansion Headroom
The 400G NDR port model supports fabric growth by aligning link density with spine-layer scaling requirements.
Architecture-Led Deployment
The spine-oriented design supports structured fabric planning by concentrating bandwidth and connectivity in the network core.
Validated Port Configuration
The published port and capacity specifications provide a clear basis for fabric sizing and compatibility validation.
Infrastructure Consistency
The switch platform supports repeatable deployment patterns for data centre networks that standardise on high-speed spine interconnects.
If you are sizing a spine fabric or validating 400G NDR interconnect requirements, our team can help align the QM9700 architecture with your network design.
Nvidia Mellanox QM9700 is a 400Gb/s NDR InfiniBand switch for dense AI and HPC fabrics where latency, scale and inter-node throughput shape cluster performance. It fits organisations building larger shared compute environments that need fewer fabric tiers and cleaner scale-up.
In large data centre pods built around GPU clusters, network design often becomes the scaling constraint. The QM9700 helps reduce hop count and cable complexity, which supports denser fabrics without adding unnecessary latency or operational overhead.
Media teams running rendering, simulation and generative-media workloads need rapid exchange between nodes once scenes and models grow large. The QM9700 keeps cluster traffic moving at NDR speeds, helping shorten turnaround across heavy production jobs.
Research and life-sciences teams often run parallel workloads across large datasets and many jobs at once. The QM9700 gives these environments the bandwidth headroom needed to keep expensive compute active rather than waiting on the network.
Finance teams running Monte Carlo, market modelling and AI-driven pricing need fast node-to-node data movement during active trading cycles. The QM9700 supports larger single-fabric scale and lower bottlenecks when results must arrive quickly.
Platform teams moving from pilot clusters to serious AI development need infrastructure that reflects real NDR deployment conditions. The QM9700 supports larger distributed training estates, making framework testing and scale validation more representative.
We can help design and deploy QM9700 fabrics for AI, HPC, research and simulation environments, with practical support for cluster sizing, topology choices and rollout planning.
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Below you’ll find alternative models, suitable software and services that pair with this solution – helping you to avoid compatibility issues, reduce support overhead and deploy with confidence.
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