4.09

Who makes passives for AI data centers

Passives (MLCC, inductors, polymer/tantalum, resistors)

tight

The multilayer ceramic capacitors, inductors and other passive components that filter and stabilize power everywhere on a board, populated in far greater numbers on AI boards than on standard servers.

Passives are the smallest, most numerous parts on any board: MLCCs, inductors and tantalum or polymer capacitors sit beside the VRMs (4.08) to filter and stabilize the power rails feeding GPUs, CPUs and memory. A single high-power GPU board's power delivery network needs many more of these components than a conventional server board, because more numerous, more transient power rails each need their own local filtering. That volume increase is one of the more overlooked demand multipliers in an AI rack: it isn't a new part category, but sheer count reshapes procurement. High-specification MLCC supply has tightened as a result, with lead times reported to have lengthened well beyond what commodity passives see. For investors, this tier is normally viewed as undifferentiated and price-competitive, but the AI-driven volume and spec shift changes that calculus somewhat: capacity for high-spec, high-reliability grades is a narrower pool than capacity for commodity passives, and that gap is what determines who benefits from the volume increase rather than just absorbing more low-margin unit orders.

AI delta: roughly 10–15× the passive count of a standard server; high-spec MLCC lead times around 24 weeks (mid-2026 trade press).

Appears at:Enterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — passive count per board is roughly fixed by design regardless of facility scale; total demand instead scales with the number of boards deployed.

Companies on this part (12)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
Chilisinmanufacturerpublic2456.TW ⚠inferred
Fenghuamanufacturerpublic000636.SZ40.15 CNY+1.4%inferred
Kyocera (AVX)manufacturerpublic6971.T3457 JPY-2.0%disclosed · source
Muratamanufacturerpublic6981.T6275 JPY-2.8%disclosed · source
Panasonicmanufacturerpublic6752.T3631 JPY-1.4%inferred
Samsung Electro-Mechanicsmanufacturerpublic009150.KS1122000 KRW-2.0%disclosed · source
Sunlordmanufacturerpublic002138.SZ42.18 CNY+1.8%inferred
Taiyo Yudenmanufacturerpublic6976.T8364 JPY-3.9%disclosed · source
TDKmanufacturerpublic6762.T2625 JPY-6.1%inferred
VishaymanufacturerpublicVSH26.70 USD-0.4%disclosed · source
Walsinmanufacturerpublic2492.TW368 TWD-9.2%inferred
Yageomanufacturerpublic2327.TW507 TWD-6.8%disclosed · source

Who competes here

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

Seen in real machines

passives is named in 1 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine. The companies shown are the ones named on that line, not necessarily the maker of this part.

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Questions about passives

What are passives?
The multilayer ceramic capacitors, inductors and other passive components that filter and stabilize power everywhere on a board, populated in far greater numbers on AI boards than on standard servers.
Which companies make passives for AI data centers?
This catalog lists 12 companies on Passives, 12 of them with listed equity: Chilisin, Fenghua, Kyocera (AVX), Murata, Panasonic, Samsung Electro-Mechanics, Sunlord, Taiyo Yuden, TDK, Vishay, and 2 more.
How does AI change demand for passives?
roughly 10–15× the passive count of a standard server; high-spec MLCC lead times around 24 weeks (mid-2026 trade press).
Passives — how tight is supply?
This catalog flags Passives as "tight". The bottlenecks page lists every part carrying a sourced supply constraint.
How reliable are these passives supplier placements?
The 12 placements on this part break down as 6 disclosed, 6 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON