NVIDIA product comparison

Compare NVIDIA networking models before sending an RFQ

Use this comparison hub to shortlist NVIDIA switches, adapters, optics and interconnect products by family, deployment role and quotation readiness.

NVIDIA networking product comparison

Comparison workflow

A practical model comparison path for B2B buyers

The goal is to reduce ambiguity before quotation. Start from the family, compare the role of each model, then send the target part numbers and quantity range for follow-up.

Shortlist map

Compare product families by buying task

Each family solves a different sourcing problem. Use this map to decide where the RFQ should start.

01

Choose the product family

Start with adapters, Ethernet switches, InfiniBand switches, optics or cables so the comparison stays focused.

02

Confirm the role of each model

Separate switching, host connectivity, optical reach and cable scope before discussing price or availability.

03

Convert comparison into RFQ fields

Prepare part numbers, quantity, target speed, destination, timeline and compatibility notes.

01

Network adapters

Server connectivity, SmartNIC planning and adapter generation review.

Server platform, interface speed, OS context, quantity and target adapter part number.

Compare adapters

02

Ethernet switches

Leaf-spine, top-of-rack and data center Ethernet refresh.

Port speed, switch role, uplink plan, redundancy target and required quantity.

Review Ethernet switches

03

InfiniBand switches

AI cluster, HPC fabric and high-throughput GPU infrastructure.

Fabric size, GPU/server count, required bandwidth, cable/optics plan and expansion notes.

Review InfiniBand switches

04

Optical transceivers

Optical transceiver selection, reach planning and interface matching.

Speed, form factor, reach, connector requirement and switch/adapter context.

Compare optics

05

Cables & interconnects

DAC, AOC and breakout cable selection for racks and clusters.

Length, speed, connector type, breakout need and target switch or adapter.

Match cables

Featured comparison entries

Models commonly reviewed during early shortlist work

These product pages are prepared for part-number review, technical context and fast inquiry handoff.

MCX516A-CCAT Dual-Port 100GbE Ethernet Adapter by NVIDIA
MCX516A-CCAT
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MCX516A-CCATNetwork adapters

MCX516A-CCAT Dual-Port 100GbE Ethernet Adapter by NVIDIA

Dual-port 100GbE PCIe adapter with RoCE, 750ns latency, 200Mpps throughput. Ideal for AI, cloud, and storage with NVMe-oF, SR-IOV, and ASAP2 offloads.

Low-profile PCIe add-in card. Ships with tall bracket mounted, short bracket included.
PCIe 3.0 x16 (compatible with x8, x4, x2, x1; auto-negotiated)
Up to 200 million messages per second (Mpps); 197 Mpps with DPDK
SR-IOV: up to 512 Virtual Functions, 8 Physical Functions per port
Yes – RDMA over Converged Ethernet (RoCE)
VXLAN, NVGRE, GENEVE, MPLS, NSH hardware encapsulation/de-encapsulation
NVMe-oF target offloads, T10-DIF Signature Handover, SRP, iSER, NFS RDMA, SMB Direct
Tag matching, rendezvous offload, adaptive routing, burst buffer offload, embedded PCIe switch, ODP, XRC, DCT
NVIDIA ConnectX-4 Lx EN MCX4121A-XCAT – Dual-Port 10GbE SFP28 Adapter Card with RoCE Virtualization Offloads
MCX4121A-XCAT
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MCX4121A-XCATNetwork adapters

NVIDIA ConnectX-4 Lx EN MCX4121A-XCAT – Dual-Port 10GbE SFP28 Adapter Card with RoCE Virtualization Offloads

Dual-port 10GbE SFP28 adapter with RoCE, SR-IOV virtualization, and VXLAN offloads. Ideal for cloud, storage, and database servers requiring low latency.

PCIe 3.0 x8 (compatible with x16, x4, x2, x1; auto-negotiated)
SR-IOV: up to 256 Virtual Functions, 8 Physical Functions per port
Yes – RDMA over Converged Ethernet (RoCE)
TCP/UDP checksum offload, LSO/LRO, RSS, TSS, VLAN insertion/stripping
NC-SI over MCTP (SMBus/PCIe), BMC interface, SDN eSwitch management, SPI flash, JTAG
Not publicly specified – please confirm before ordering
IEEE 802.3ae (10GbE), 802.3az EEE, 802.1Qbb PFC, 802.1Qaz ETS, 1588v2, PCIe Gen 3.0
Note: Specifications are based on NVIDIA public documentation. Please confirm exact details with sales for your order.
NVIDIA ConnectX-6 Lx MCX631102AS-ADAT OCP 3.0 Adapter for Cloud & Enterprise
MCX631102AN-ADAT
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MCX631102AN-ADATNetwork adapters

NVIDIA ConnectX-6 Lx MCX631102AS-ADAT OCP 3.0 Adapter for Cloud & Enterprise

High-performance OCP 3.0 SmartNIC with 25/50GbE ports, PCIe Gen4, IPsec encryption, and SDN acceleration for cloud data centers.

OCP 3.0 Small Form Factor (SFF), hot-pluggable
PCIe Gen4 x8 (compatible with PCIe Gen3 x8)
Zero-Touch RoCE, RoCE Congestion Control, IPsec over RoCE
Inline IPsec (AES-XTS 256/512-bit), hardware root-of-trust, secure firmware update
VXLAN, GENEVE, NVGRE, MPLS, GTP; ASAP2 connection tracking and stateful firewall
SR-IOV (up to 256 VFs), VirtIO acceleration
NC-SI, MCTP over SMBus/PCIe, NCSI over RBT, PLDM for monitor/control and firmware update
Not publicly specified – please confirm with ordering
NVIDIA ConnectX-6 Lx MCX631432AN-ADAB 25/50GbE SmartNIC
MCX631432AN-ADAB
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MCX631432AN-ADABNetwork adapters

NVIDIA ConnectX-6 Lx MCX631432AN-ADAB 25/50GbE SmartNIC

Dual-port 25/50GbE SmartNIC with PCIe Gen4, IPsec encryption, and Zero-Touch RoCE. Ideal for cloud, enterprise, and NFV workloads with 75Mpps throughput.

PCIe Low Profile (also available in OCP 3.0 SFF)
2x 10/25GbE or 1x 50GbE (SFP28 / QSFP28 depending on SKU variant)
PCIe Gen4 x8 (compatible with PCIe Gen3 x8)
Zero-Touch RoCE, RoCE Congestion Control, IPsec over RoCE
Inline IPsec (AES-XTS 256/512-bit), hardware root-of-trust, secure firmware update
VXLAN, GENEVE, NVGRE, MPLS, GTP; ASAP2 connection tracking and stateful firewall
SR-IOV (up to 256 VFs), VirtIO acceleration, Netronome-compatible flow API
NC-SI, MCTP over SMBus/PCIe, PLDM for monitor/control and firmware update (DSP0248, DSP0267)
NVIDIA ConnectX-6 MCX653106A-HDAT 200Gb/s Dual-Port InfiniBand Smart Adapter
MCX653106A-HDAT-SP
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MCX653106A-HDAT-SPNetwork adapters

NVIDIA ConnectX-6 MCX653106A-HDAT 200Gb/s Dual-Port InfiniBand Smart Adapter

Dual-port 200Gb/s InfiniBand smart adapter with PCIe 4.0 support, hardware encryption, and in-network computing for HPC and AI workloads.

PCIe Gen 4.0/3.0 x16 (also supports x8, x4, x2, x1)
RDMA, XRC, DCT, ODP, Hardware Congestion Control, 16M I/O channels, 8 VLs + VL15
RoCE, LSO/LRO, checksum offload, RSS/TSS, VXLAN/NVGRE/Geneve offload
NVMe-oF (target/initiator), T10-DIF, SRP, iSER, SMB Direct
Hardware XTS-AES 256/512-bit block encryption, FIPS compliant
NC-SI, MCTP over SMBus/PCIe, PLDM for Monitor/Firmware, I2C, JTAG
NVIDIA ConnectX-7 MCX75310AAS-NEAT Dual-Port 400Gb/s InfiniBand & Ethernet Smart Adapter – PCIe 5.0 x16, NDR
MCX75310AAS-NEAT
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MCX75310AAS-NEATNetwork adapters

NVIDIA ConnectX-7 MCX75310AAS-NEAT Dual-Port 400Gb/s InfiniBand & Ethernet Smart Adapter – PCIe 5.0 x16, NDR

High-performance 400Gb/s dual-port adapter with PCIe 5.0 x16, hardware security offloads, and NVMe-oF support for AI/HPC data centers.

Ordering code
MCX75310AAS-NEAT(900-9X766-003N-SQ0)
PCIe 5.0 x16 (32 lanes)
IPsec, TLS 1.3, MACsec, AES-XTS
PCIe 5.0 x16
PCIe 5.0 x16
MCX75310AAS-NEAT (OCP var.)
Note: MCX75310AAS-NEAT supports 400Gb/s InfiniBand (NDR) and 400/200/100/50/25/10GbE. Dimensions: 167.65mm x 68.90mm (HHHL). Includes tall and low-profile brackets. Power consumption < 25W typical.

Comparison FAQ

Answers for buyers comparing NVIDIA models

Short answers that help procurement and technical teams turn comparison work into a clearer inquiry.

What should I prepare before asking for a product comparison?01

Prepare the target part numbers, product family, quantity range, deployment role and any compatibility constraints around servers, switches, optics or cables.

Can a comparison request include a BOM?02

Yes. A BOM is often the best starting point because it lets the discussion cover model fit, quantity, substitute options and availability in one flow.

Should I compare by product name or part number?03

Use exact part numbers whenever possible. Product names can be broad, while part numbers reduce ambiguity during quotation and stock review.

Next step

Need help comparing exact NVIDIA part numbers?

Send the models you are comparing, required quantity, deployment scenario and compatibility notes. We will help organize the comparison into an RFQ-ready shortlist.

Send comparison request