IT teams that need predictable rack connectivity and clean uplink growth can use Nvidia Ethernet Switches to keep server, storage and application traffic moving without overbuilding the fabric. The range covers compact top-of-rack leaf, dense 100GbE aggregation and faster spine roles, so buyers can match switching capacity to the rack’s real demand.
In compact data-centre racks, storage nodes, virtualisation estates and edge pods, these switches help maintain low latency, improve breakout flexibility and reduce management effort as traffic grows. That supports standardisation across mixed-speed environments while keeping bandwidth headroom in place for future expansion.
Comparing multiple platforms? Our experts are available to help.
No commitment needed, no hard sells. Just straightforward technical guidance tailored to your infrastructure.
Full technical specifications are available on each product page.
| Model | Popularity | Deployment | Target Organisation Size | Primary Use Case | Access Ports | Port Configuration | Maximum Port Speed | PoE Budget (W) | Maximum Switching Capacity (Gbps) | Stackable | Operating System / Management Platform | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mellanox SN4600 Spectrum-3 64-Port 200GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Service Provider | Spine | 64 | 64×QSFP56 | 200G | 0, None | 25600 | Supported | Onyx | View |
Mellanox SN4700 Spectrum-3 32-Port 400GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Service Provider | Spine | 64 | 64×QSFP56 | 200G | 0, None | 25600 | Supported | Onyx | View |
Mellanox SN2700 Spectrum 32-Port 100GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Leaf | 32 | 32×QSFP28 | 100G | 0, None | 6400 | Supported | Onyx | View |
Mellanox SN3420 Spectrum-2 48-Port 25GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Leaf | 32 | 32×QSFP28 | 100G | 0, None | 6400 | Supported | Onyx | View |
Mellanox SN3700 Spectrum-2 32-Port 200GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Spine | 32 | 32×QSFP28 | 100G | 0, None | 6400 | Supported | Onyx | View |
Mellanox SN2010 Spectrum 18-Port 10/25GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Leaf | 18 | 18×QSFP+ | 40G | 0, None | 1440 | Supported | Onyx | View |
Mellanox SN2100 Spectrum 16-Port 100GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Leaf | 16 | 16×QSFP28 | 100G | 0, None | 3200 | Supported | Onyx | View |
Mellanox SN2410 Spectrum 48-Port 25GbE Ethernet Switch
|
★ ★ ★ | Data Centre | Enterprise | Leaf | 48 | 48×SFP28 + 8×QSFP28 | 100G | 0, None | 4000 | Supported | Onyx | View |
Data centre teams need rack and fabric switching that fits the space they have, supports mixed-speed server connectivity and keeps uplinks under control. Nvidia Ethernet Switches cover compact top-of-rack, dense 100GbE and higher-bandwidth spine roles for storage, virtualisation, AI and scale-out growth.
Creative teams move large assets between storage, render nodes and compute racks, so the network must carry heavy east-west traffic without becoming the bottleneck. Nvidia Ethernet Switches support 100GbE and 200GbE fabrics for content, render and simulation environments that need more bandwidth in the rack and across the core.
Hospitals, labs and research teams often run space-constrained racks with imaging, analytics and storage traffic that grows faster than basic switching can handle. Nvidia Ethernet Switches provide 25GbE and 100GbE options, plus higher-capacity fabric tiers, to keep clinical and research data moving cleanly.
Finance teams need low-latency switching for analytics, market data and dense application racks, while keeping the design right-sized and predictable. Nvidia Ethernet Switches support compact leaf, high-port-count aggregation and faster fabric tiers for environments that need reliable bandwidth without unnecessary overbuild.
Software teams building AI, performance and distributed systems need lab and cluster networks that can scale from compact test pods to larger shared fabrics. Nvidia Ethernet Switches support 100GbE, 200GbE and 400GbE roles, helping teams test modern workloads with enough headroom for data, storage and cluster traffic.
Nvidia AI Enterprise, NIM, and AI Workbench give IT and data science teams validated, enterprise-ready platforms to deploy, serve, and manage AI workloads at scale. We help organisations implement and support these software environments so AI infrastructure remains performant, current, and straightforward to operate.
We provide end-to-end services to design, deploy, and optimise GPU-accelerated AI environments. From initial architecture through to integration and scaling, we help infrastructure teams build Nvidia environments that are aligned to workload demands and positioned to grow alongside the business.
As an authorised Nvidia partner, we help organisations maximise uptime and performance across their Nvidia estate. From technical support and software updates through to lifecycle planning, we help IT teams keep AI infrastructure reliable, current, and aligned to long-term operational requirements.
We help organisations get more from their Nvidia investments — from initial architecture through to ongoing optimisation and support. Contact our Nvidia specialists for guidance today.
Backed by decades of expertise in the IT sector, our specialists support every stage of your deployment — from initial selection through to long-term lifecycle management.
If these options aren’t the right fit for your environment, we provide a wide portfolio of product series and solutions that may better suit your infrastructure. Explore below, or speak to our team and we’ll help you find the right match.
Whether you know exactly what you need or you’re still evaluating options, our team is available for a no-obligation conversation.
