Who makes power shelves & psus for AI data centers
Power shelves & PSUs (33 kW-class ORV3 shelves, rack-level)
The rack-mounted power shelves that convert facility AC or DC input into the regulated rail distributed to trays across the rack, built to the Open Rack V3 33 kW-class spec used in rack-scale AI systems.
Power shelves sit between the facility's electrical distribution (layer 7) and the busbar or whips (4.15) that carry power the rest of the way to each tray; they're the rack's own bulk power-conversion stage. The Open Rack V3 form factor standardizes a 33 kW-class shelf design shared across ODMs, which lets a rack-scale system swap in shelves from multiple suppliers without re-engineering the rack's power architecture. AI racks need far more power-shelf capacity than a conventional server rack because GPU trays draw far more continuous power than general-purpose compute, and a growing share of that conversion work happens with wide-bandgap power semiconductors (4.12a) rather than silicon, since GaN and SiC devices handle these currents at higher efficiency and in less space. For investors, this tier tracks rack power density directly: as GPU generations draw more power per tray, shelf count and shelf capacity per rack both rise, and the suppliers who qualify early on a new shelf generation tend to hold that position through the generation's full production run.
AI delta: GPU trays draw far more continuous power than general-purpose compute, which is why rack-scale AI systems need substantially more power-shelf capacity per rack than a conventional server rack, and why wide-bandgap semiconductors are displacing silicon inside the shelf.
Companies on this part (12)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| AcBel | manufacturer | public | 6282.TW | 45.20 TWD | -0.1% | inferred | |
| Advanced Energy/Artesyn | manufacturer | public | AEIS | 287 USD | -1.0% | inferred | |
| Bel Fuse | manufacturer | public | BELFA | 213 USD | +2.0% | inferred | |
| Chicony Power | manufacturer | public | 6412.TW | 78.60 TWD | -0.6% | inferred | |
| Cosel | manufacturer | public | 6905.T | 1336 JPY | -0.1% | inferred | |
| Delta Electronics | manufacturer | public | 2308.TW | 1800 TWD | +2.0% | inferred | |
| Eaton | manufacturer | public | ETN | 416 USD | -2.3% | inferred | |
| Flex | manufacturer | public | FLEX | 115 USD | +1.1% | inferred | Power Modules |
| FSP | manufacturer | public | 3015.TW | 54.40 TWD | -0.7% | inferred | |
| Lite-On | manufacturer | public | 2301.TW | 307 TWD | +1.8% | inferred | |
| Murata | manufacturer | public | 6981.T | 7434 JPY | +1.9% | inferred | |
| Vertiv | manufacturer | public | VRT | 269 USD | -1.5% | inferred |
GaN and SiC inside 4.12a
Who competes here
The same table read the other way: every company above competes for power shelves & psus sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.
Nearby parts
- Children: GaN and SiC inside
- Previous in layer: Timing, security & misc board silicon
- Next in layer: Fans
- Layer: Layer 4 — Servers, racks & integration
Watch
Independent videos — no affiliation; nothing loads from YouTube until you click.
Latest feed
- Exclusive: IC design faces wire bonding bottleneck in 2027 — DigiTimes, 2026-08-28Due to surging AI chip demand, outsourced assembly and test providers warn that traditional packaging capacity, particularly wire bonding, could face a deficit exceeding 20% by 2027.
Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON