Who makes scale-out switch asics for AI data centers
The switch ASICs that route traffic between racks and pods, distinct from the scale-up fabric inside a single rack.
Scale-out switch ASICs sit between the rack-level scale-up fabric (3.01) and the switch systems and white-box ODMs (3.03) that build them into deployable hardware. They carry traffic between racks, pods, and clusters — the layer that turns individual GPU-dense racks into a single, larger training or inference domain. AI clusters push both the port count and per-port bandwidth of these ASICs higher as accelerator counts grow, since network bandwidth between racks has to keep pace with the compute inside them or become the bottleneck. An investor should watch supplier concentration at the ASIC level itself, since a small number of designs feed a much larger number of switch-system builders, and watch how Ethernet-based and InfiniBand-based approaches split share as hyperscalers weigh openness against performance.
AI delta: AI clusters need far more inter-rack bandwidth than general-purpose data centers, pushing scale-out switch ASICs toward higher port counts and per-port speeds sooner.
Companies on this part (5)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| Broadcom | manufacturer | public | AVGO | 372 USD | +2.6% | inferred | Tomahawk/Jericho |
| Cisco | manufacturer | public | CSCO | 112 USD | -0.1% | inferred | Silicon One |
| Marvell | manufacturer | public | MRVL | 241 USD | -5.6% | inferred | Teralynx |
| Nvidia | manufacturer | public | NVDA | 228 USD | +3.8% | inferred | Spectrum (Ethernet) and Quantum (InfiniBand) |
| Huawei | manufacturer | private | inferred |
Who competes here
The same table read the other way: every company above competes for scale-out switch asics sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.
Nearby parts
- Previous in layer: Scale-up fabric
- Next in layer: Switch systems & white-box ODMs
- Layer: Layer 3 — Networking & interconnect
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Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON