High-Speed Network Adapters

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IT teams that need dependable server acceleration across mixed estates use Nvidia ConnectX Network Adapters to keep virtualisation, storage and security tasks off the host. The range supports mature SmartNIC deployment where stable behaviour, low latency and broad software compatibility matter more than constant fabric redesign.

In data centres, private-cloud platforms and research or analytics environments, the adapters help keep servers responsive and reduce contention as demand grows. ConnectX-6 suits established estates, ConnectX-7 adds headroom for faster GPU and data pipelines, and ConnectX-8 supports the most bandwidth-heavy AI clusters.

Nvidia High-Speed Network Adapter Quick Specs & Key Features

  • Mature 100/200GbE connectivity: ConnectX-6 provides secure Ethernet for cloud, virtualisation and storage estates, giving enterprise teams broad compatibility without a move to 400GbE and so simplifying deployment.
  • Hardware offload acceleration: ConnectX-6 offloads virtualisation, storage, security and NFV processing in the adapter, reducing host CPU overhead and improving responsiveness for mixed data-centre workloads.
  • Low-latency SmartNIC design: ConnectX-6 uses hardware acceleration for mature enterprise and service-provider environments, keeping network handling close to the server and supporting lower latency.
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  • 400Gb/s host bandwidth: ConnectX-7 raises server-to-network throughput for GPU, HPC and scale-out systems, helping data move fast enough for accelerated workloads and easier scaling.
  • GPUDirect and RDMA support: ConnectX-7 improves direct data exchange between hosts and accelerators, cutting copy steps and reducing latency in AI and scientific computing clusters.
  • 800Gb/s AI fabric: ConnectX-8 SuperNIC is built for large GPU clusters, removing network and PCIe bottlenecks at the server edge and improving availability for hyperscale AI workloads.
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Find your ideal Nvidia High-Speed Network Adapter

Full technical specifications are available on each product page.

Model Popularity Deployment Primary Use Case Form Factor PCIe Generation Network Protocols Max Network Ports Maximum Port Speed RDMA Support Virtualisation Support
Nvidia ConnectX-8 Network Adapter Nvidia ConnectX-8 Network Adapter Data Centre AI / HPC Host Connectivity OCP 3.0, PCIe Gen6 InfiniBand / Ethernet 1 800G Yes SR-IOV View
Nvidia ConnectX-6 Dx Network Adapter Nvidia ConnectX-6 Dx Network Adapter Data Centre Host Connectivity OCP 3.0, PCIe Gen4 InfiniBand / Ethernet 2 200G Yes SR-IOV View
Nvidia ConnectX-7 Network Adapter Nvidia ConnectX-7 Network Adapter Data Centre Host Connectivity OCP 3.0, PCIe Gen5 InfiniBand / Ethernet 4 400G Yes SR-IOV View

Nvidia High-Speed Network Adapter Deployment Scenarios and Industries

Data Centres

Cloud and enterprise data centres need secure Ethernet with broad compatibility for virtualisation, storage and network offload. Nvidia ConnectX adapters help teams improve server efficiency and keep infrastructure running smoothly without moving to higher bandwidth than they need.

Media & Entertainment

Studios and content platforms need to move large files, render data and AI workloads between servers without slowing production. Nvidia ConnectX adapters provide the bandwidth and low latency needed to keep demanding creative pipelines moving.

Professional Services

IT teams running private cloud, virtual desktop and application estates need dependable acceleration they can operate in house. Nvidia ConnectX adapters support secure, straightforward deployment with offloads that reduce load on the host.

Healthcare

Clinical, research and imaging systems need stable data-centre networking for storage, virtualisation and secure data handling. Nvidia ConnectX adapters help these teams support growing datasets and accelerated workloads without disrupting established operations.

Finance

Banks and financial services firms need low-latency networking for transaction systems, databases and private cloud platforms. Nvidia ConnectX adapters add hardware offload and secure connectivity that can improve responsiveness without unnecessary fabric change.

Nvidia High-Speed Network Adapter Management and Licensing Options

Nvidia AI Platforms & Software

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.

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Nvidia AI Infrastructure Services

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.

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Nvidia Support & Lifecycle Management

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.

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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.

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Designing & Supporting Nvidia High-Speed Network Adapter Solutions

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.

  • AI Fabric & Workload Assessment: We assess AI workloads, GPU communication patterns, east-west traffic, storage traffic, and future scalability requirements before recommending a fabric approach. This helps align NVIDIA InfiniBand or high-performance Ethernet designs to the way your cluster will actually operate, rather than treating networking as a generic switch purchase.
  • NVIDIA Platform & Topology Selection: We help you evaluate the right NVIDIA networking platforms, port speeds, rack layout, and topology design for your environment. The aim is to avoid under-specced fabrics that restrict GPU performance, as well as oversized switching designs that add unnecessary cost and complexity.
  • Lead Time, Scalability & Cost Planning: Larger high-performance switching platforms can present availability, lead time, or budget challenges. Where appropriate, we help compare equivalent multi-switch architectures that can deliver similar scalability and performance while improving deployment flexibility and keeping infrastructure costs under control.
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  • Deployment, Integration & Fabric Configuration: Our engineers support switch configuration, fabric setup, interoperability checks, and integration across compute, storage, and GPU environments. Whether you need full deployment support or validation around an internal build, we help reduce complexity and improve long-term operational stability.
  • Performance Optimisation & Lifecycle Support: As GPU clusters scale, congestion, traffic flow, firmware, redundancy, and expansion planning all affect performance. We help optimise NVIDIA networking environments for AI training, inference, and data-intensive workloads, while supporting future growth as operational requirements evolve.

Nvidia High-Speed Network Adapter FAQ

Why are ConnectX Network Adapters often chosen instead of standard Ethernet adapters in modern data centres?

Standard Ethernet adapters can work well for general server connectivity. Pressure usually increases when storage, AI, virtualisation and distributed workloads begin placing more demand on bandwidth, latency and CPU usage.

ConnectX Network Adapters support high-speed Ethernet and InfiniBand connectivity with hardware acceleration for networking and storage tasks. For IT teams, this helps improve server-to-network performance while reducing the amount of infrastructure work handled by the host CPU.

When is ConnectX-6 a better fit than moving directly to ConnectX-7 or ConnectX-8?

Moving to newer adapter generations can increase infrastructure cost and bandwidth requirements before workloads actually need them. In many enterprise, healthcare and telecom environments, 100GbE or 200GbE connectivity may still provide enough performance.

ConnectX-6 Dx supports up to 200GbE connectivity with acceleration for networking, storage and virtualisation workloads. It is well suited to environments that need stable high-speed connectivity and infrastructure offload without moving immediately into 400GbE or 800GbE networking.

Why are ConnectX Network Adapters commonly used in AI and high-performance compute environments?

Traditional server networking can become a limitation once AI training, analytics and distributed compute environments begin moving large amounts of data between servers and storage systems.

ConnectX Network Adapters support higher-bandwidth, lower-latency communication for GPU servers and compute-intensive workloads. For AI, research and media environments, this helps reduce delays in data movement as workload scale increases.

What operating conditions make ConnectX-7 a better fit than ConnectX-6?

100GbE and 200GbE networking can remain effective for many enterprise environments. This becomes more noticeable once GPU servers, high-speed storage and distributed compute platforms begin demanding more bandwidth per server.

ConnectX-7 supports up to 400Gb/s connectivity, making it better suited to AI, HPC and high-throughput data environments where larger datasets and compute-intensive workloads place more pressure on the network edge.

Why would an organisation choose ConnectX-8 instead of remaining on ConnectX-7?

ConnectX-7 can support many modern AI and high-performance environments. The challenge tends to grow when very large AI clusters begin requiring more bandwidth between accelerated servers than 400Gb/s connectivity can provide efficiently.

ConnectX-8 SuperNIC supports up to 800Gb/s networking and is designed for very large AI and cloud environments. It is best suited to high-density compute platforms where server-to-server bandwidth is becoming a bottleneck.

When do ConnectX Network Adapters make more sense than redesigning the wider network immediately?

A full network redesign can introduce unnecessary cost and disruption if the main limitation is concentrated at the server edge rather than across the wider environment.

ConnectX Network Adapters allow organisations to increase server bandwidth, improve data movement and reduce CPU overhead while keeping the wider infrastructure design in place. This gives IT teams a more practical way to scale AI, storage and high-performance environments without rebuilding the entire network prematurely.

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