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.
Companies on this part (6)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| Alphabet (Google) | manufacturer | public | GOOGL | inferred | ICI | ||
| AMD | manufacturer | public | AMD | 477 USD | -1.7% | inferred | Infinity Fabric |
| Astera Labs | manufacturer | public | ALAB | 304 USD | +1.1% | inferred | Scorpio X |
| Broadcom | manufacturer | public | AVGO | 372 USD | +2.6% | inferred | scale-up Ethernet (Tomahawk Ultra) |
| Nvidia | manufacturer | public | NVDA | 228 USD | +3.8% | inferred | NVLink/NVSwitch |
| UALink consortium | manufacturer | cooperative | inferred | members: 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
- Next in layer: Scale-out switch ASICs
- Layer: Layer 3 — Networking & interconnect
Watch
Independent videos — no affiliation; nothing loads from YouTube until you click.
Latest feed
- Google’s TPUv8s for Training and Inference at Hot Chips 2026 — ServeTheHome, 2026-08-26Google unveiled its new eighth-generation TPU family (TPU 8t for training and TPU 8i for inference) at Hot Chips 2026.
Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON