NVIDIANVIDIA solution path

AI cluster networking

Inquiry-driven solution page for AI compute fabrics, switch planning and adapter compatibility.

Commercial challenge

AI infrastructure projects often begin with fragmented requirements across switch families, adapter compatibility, optics alignment and commercial lead times.

Buyers need a cleaner path from technical intent into shortlist building, BOM review and quotation preparation without losing time across disconnected product pages.

Recommended sourcing path

Use this solution page as the commercial bridge between architecture discussion and product selection.

It helps buyers connect NVIDIA switching and adapter decisions to real quotation actions, while giving the sales team a better-quality inquiry with project scope, quantity and deployment direction.

Solution architecture path

A cleaner route from project intent to model shortlist

Use this section to align workload, fabric direction, host connectivity and interconnect requirements before quotation starts.

SwitchingAdaptersInterconnectRFQ

Supply path

AI cluster networking

Inquiry-driven solution page for AI compute fabrics, switch planning and adapter compatibility.

InfiniBandQuantumConnectXBOM

01

Define workload and fabric direction

Clarify the target deployment, cluster scale, switching direction and application constraints.

02

Match switch and adapter requirements

Connect the solution need to NVIDIA switching, host interface, adapter or SuperNIC options.

03

Validate optics and interconnect needs

Review reach, cable length, airflow, breakout and rack-level compatibility before quoting.

04

Prepare BOM and commercial follow-up

Move into availability, lead time, alternatives and quote preparation with better context.

RFQ package checklist

What buyers should send in the inquiry

A stronger request helps reduce back-and-forth and makes availability, alternatives and pricing review faster.

01

Target NVIDIA part numbers or a shortlist

02

Expected quantity, BOM file or bundle scope

03

Fabric direction, rack count or topology notes

04

Optics, DAC/AOC, cable reach or breakout requirements

05

Delivery destination, timing and compatibility questions

AI cluster networking

Practical outcome

AI cluster networking

01

Faster model matching before quotation

02

Cleaner discussion around compatibility and alternatives

03

Better context for stock, lead time and commercial support

Recommended products for this solution path

AI cluster networking

These models are useful starting points for a part-number led conversation. Exact alternatives can be matched during RFQ follow-up.

MQM9700-NS2R

NVIDIA Quantum-2 QM9700-NS2R 64-Port 400G InfiniBand Managed Switch

64-port 400G InfiniBand managed switch with 51.2 Tb/s throughput, SHARPv3 acceleration, and ultra-low latency for AI/HPC clusters.

NVIDIA Quantum-2 QM9700-NS2R 64-Port 400G InfiniBand Managed Switch
MQM9700-NS2R
Product photoCMS image ready
Ordering code
MQM9700-NS2R(920-9B210-00RN-0M2)
51.2 Tb/s aggregate bidirectional throughput; >66.5 billion packets per second (BPPS)
x86 Coffee Lake i3, 8GB DDR4 SO-DIMM (2666 MT/s), 16GB M.2 SSD
MCX75310AAS-NEAT

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.

NVIDIA ConnectX-7 MCX75310AAS-NEAT Dual-Port 400Gb/s InfiniBand & Ethernet Smart Adapter – PCIe 5.0 x16, NDR
MCX75310AAS-NEAT
Product photoCMS image ready
Ordering code
MCX75310AAS-NEAT(900-9X766-003N-SQ0)
PCIe 5.0 x16 (32 lanes)
IPsec, TLS 1.3, MACsec, AES-XTS

FAQ

Questions about this solution path

Short answers that help buyers prepare the right project details before contacting sales.

Can this AI cluster networking path be used to start an RFQ?01

Yes. The page is designed to turn project context into product shortlist, quantity and compatibility questions for commercial follow-up.

Do I need a complete BOM before contacting sales?02

No. You can start with a part number or shortlist, but BOM, quantity and deployment context will help speed up the response.

Can alternatives be reviewed if the target model is not available?03

Yes. Clear architecture and requirement notes make it easier to discuss compatible alternatives during availability and quote follow-up.

AI cluster networking

Next step

Ready to turn this solution path into a real RFQ?

Send the target model, quantity, topology or BOM context and we can continue with compatibility, stock and quotation follow-up.