3.10

Who makes NVLink copper spine for AI data centers

The copper cable assemblies and backplane cartridges that physically wire the scale-up fabric together inside a rack, most visible in Nvidia's NVL72 architecture.

NVLink copper spine and backplane cartridges are the physical layer under the scale-up fabric of 3.01, wiring GPU compute trays to NVLink switch trays inside a rack — the taxonomy notes roughly 5,000 copper cables in an NVL72-class rack. That cable count is itself the reason the industry is evaluating co-packaged optics (3.08) as a replacement at the next speed generation: as per-GPU bandwidth rises, all-copper backplanes start running into reach and density limits that pushing more copper doesn't solve. Several connector and cable assembly makers supply this content, generally under reference-design partner arrangements with the rack architect rather than as a fully open market. An investor should watch this layer as a bellwether for the copper-to-optical transition inside the rack: continued growth in cable count per rack favors incumbent copper suppliers, while an early shift to CPO would cap that growth sooner than volume trends alone would suggest.

AI delta: Larger scale-up domains push cable count per rack higher, up to the point where copper's reach and density limits at the highest speeds make an optical alternative necessary.

About 5,000 copper cables per NVL72; the reason 1.6T-era racks push toward CPO.

Per rack: ~5,000 copper cables per NVL72 (taxonomy v0.1, from Nvidia rack materials).

Appears at:Large colo / hyperscale buildingAI campusGW-class campus· cooling:any — Present wherever a scale-up rack architecture uses a copper backplane; cable count scales with rack GPU density and could shrink or disappear in racks that adopt co-packaged optics.

Companies on this part (5)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
AmphenolmanufacturerpublicAPH74.09 USD+1.4%reported
Bizlinkmanufacturerpublic3665.TW1875 TWD-4.3%reported
Foxconn Interconnectmanufacturerpublic6088.HK3.71 HKD-0.1%reported
Luxsharemanufacturerpublic002475.SZ50.42 CNY+7.0%reported
TE ConnectivitymanufacturerpublicTEL208 USD-0.2%reported

Who competes here

The same table read the other way: every company above competes for NVLink copper spine / backplane cartridges sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Seen in real machines

NVLink copper spine / backplane cartridges is named in 1 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine. The companies shown are the ones named on that line, not necessarily the maker of this part.

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Questions about NVLink copper spine / backplane cartridges

What are NVLink copper spine / backplane cartridges?
The copper cable assemblies and backplane cartridges that physically wire the scale-up fabric together inside a rack, most visible in Nvidia's NVL72 architecture.
Which companies make NVLink copper spine for AI data centers?
This catalog lists 5 companies on NVLink copper spine / backplane cartridges, 5 of them with listed equity: Amphenol, Bizlink, Foxconn Interconnect, Luxshare, TE Connectivity.
How does AI change demand for NVLink copper spine / backplane cartridges?
Larger scale-up domains push cable count per rack higher, up to the point where copper's reach and density limits at the highest speeds make an optical alternative necessary.
How many NVLink copper spine / backplane cartridges does a data center need?
Per rack: ~5,000 copper cables per NVL72 (taxonomy v0.1, from Nvidia rack materials). Figures come from the taxonomy behind this catalog.
How reliable are these NVLink copper spine / backplane cartridges supplier placements?
The 5 placements on this part break down as 5 reported. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON