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3.01

Who makes scale-up fabric for AI data centers

Scale-up fabric (GPU-to-GPU inside the rack/pod)

The fabric linking GPUs to each other inside a single rack or pod, separate from the switching fabric that connects racks to each other.

Scale-up fabric is the shortest, highest-bandwidth network in the data center: it lets GPUs inside the same rack or pod address each other's memory directly, rather than going through the scale-out switch fabric (3.02, 3.03). It sits upstream of the copper spine and backplane cartridges (3.10) that physically wire it together and, at higher speeds, of the optics and co-packaged approaches (3.04, 3.08) being evaluated as a copper replacement. AI training and inference workloads that split a single model across many accelerators depend on this fabric scaling in lockstep with GPU count, since it sets the ceiling on how large a tightly coupled GPU domain can get. An investor should watch whether a proprietary approach keeps its lead over open alternatives being pushed by a wider industry consortium, since that split determines how concentrated the supplier base for switch chips, cables, and connectors stays as pod sizes grow.

AI delta: Larger AI models split across more GPUs per training or inference job, which raises the bandwidth and reach demanded of the scale-up fabric linking them inside a rack or pod.

Appears at:Large colo / hyperscale buildingAI campusGW-class campus· cooling:any — Present wherever multi-GPU racks or pods exist; the fabric's reach and topology (single rack vs. multi-rack pod) scale with cluster size rather than being an enterprise feature.

Companies on this part (6)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
Alphabet (Google)manufacturerpublicGOOGLinferredICI
AMDmanufacturerpublicAMD477 USD-1.7%inferredInfinity Fabric
Astera LabsmanufacturerpublicALAB304 USD+1.1%inferredScorpio X
BroadcommanufacturerpublicAVGO372 USD+2.6%inferredscale-up Ethernet (Tomahawk Ultra)
NvidiamanufacturerpublicNVDA228 USD+3.8%inferredNVLink/NVSwitch
UALink consortiummanufacturercooperativeinferredmembers: AMD, Broadcom, Astera, Marvell, Cisco, hyperscalers

Who competes here

The same table read the other way: every company above competes for scale-up fabric sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Nearby parts

Watch

What Exactly Does NVLink do for Machine Learning (featuring Exxact Workstation w/dual 3090s)
Jeff Heaton — explains NVLink's role as GPU-to-GPU scale-up interconnect
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Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is builtMarkdown · JSON