Who makes motherboards, cpu trays, switch trays for AI data centers
The non-GPU trays in a rack — CPU-only compute trays, host motherboards and the switch trays carrying scale-up switch silicon — built by the same board makers as the GPU trays.
This part covers the trays that round out a rack-scale system alongside the GPU baseboard (4.03): CPU-only compute trays for control and orchestration nodes, conventional server motherboards, and switch trays that carry the scale-up switch silicon (3.01) linking GPU trays together. The same ODM tier that builds GPU baseboards builds these, joined by motherboard specialists who don't necessarily compete for GPU-tray business. AI racks need more of this category than a conventional data center rack: a rack-scale cabinet carries dedicated switch trays purely to fan out the scale-up fabric, a tray type that barely existed before rack-scale GPU systems. For investors, this is a lower-margin, higher-volume counterpart to the GPU baseboard — less differentiated, more competitive — so the interesting question is less "who wins" and more whether a builder's exposure here dilutes or complements its GPU-tray economics.
AI delta: Rack-scale GPU systems require dedicated switch trays purely to fan out the scale-up fabric between GPU trays, a tray category that has little equivalent in conventional servers.
Companies on this part (5)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| ASRock Rack | manufacturer | public | 3515.TW | 219 TWD | +0.5% | inferred | |
| ASUS | manufacturer | public | 2357.TW | 957 TWD | -1.5% | inferred | |
| Gigabyte | manufacturer | public | 2376.TW | 348 TWD | +0.4% | inferred | the same ODMs plus |
| MiTAC (Tyan) | manufacturer | public | 3706.TW | 91.30 TWD | -0.3% | inferred | |
| MSI | manufacturer | public | 2377.TW | 144 TWD | -0.7% | inferred |
Who competes here
The same table read the other way: every company above competes for motherboards, cpu trays, switch trays sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.
Nearby parts
- Previous in layer: GPU baseboards & compute trays
- Next in layer: High-layer-count PCBs
- Layer: Layer 4 — Servers, racks & integration
Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON