What Panasonic makes for data centers
public · HQ Japan
Panasonic is a publicly listed company and based in Japan. It appears on 3 parts of the AI data center — Copper-clad laminate & PCB materials, Passives and Li-ion for UPS — in the role of manufacturer. Those parts sit in Layer 4 — Servers, racks & integration and Layer 7 — Electrical: power distribution (grid to rack). Its shares trade on Tokyo Stock Exchange as 6752.T.
Parts, by layer
Layer 4 — Servers, racks & integration
| Part | Role | Confidence | Competitors | Note |
|---|---|---|---|---|
| Copper-clad laminate & PCB materials | manufacturer | inferred | Doosan, Elite Material, Iteq, Nanya Plastics, Rogers, Shengyi | Megtron |
| Passivestight | manufacturer | inferred | Chilisin, Fenghua, Kyocera (AVX), Murata, Samsung Electro-Mechanics, Sunlord |
Layer 7 — Electrical: power distribution (grid to rack)
| Part | Role | Confidence | Competitors | Note |
|---|---|---|---|---|
| Li-ion for UPS | manufacturer | inferred | BYD, CATL, EnerSys, LG Energy Solution, Samsung SDI, Saft | Energy |
Where Panasonic sits in the stack
Panasonic's placements in this catalog cover 3 parts, from layer 4 (servers, racks & integration) to layer 7 (electrical: power distribution (grid to rack)). None of them currently carries a sourced supply constraint tag. Across these parts it overlaps with other companies most often on the lines below.
What these parts are
- Copper-clad laminate & PCB materials — The laminate — resin, copper foil and glass-cloth reinforcement — that high-layer-count boards (4.05) are fabricated from.
- Passivestight — 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.
- Li-ion for UPS — Lithium-ion battery chemistries used in static UPS systems, valued for energy density and footprint versus older lead-acid designs.
Closest peers in this catalog
Seen in real machines
Panasonic is named in 1 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine.
- Nvidia GB300 NVL72 · rack teardown
- Compute-tray PCB
Latest feed
- A Taiwan machinery maker bets on AI to challenge Japan's grip on advanced capacitors — DigiTimes, 2026-09-16A Taiwan machinery maker is challenging Japan's market dominance in high-end multilayer polymer capacitors, which are crucial for power delivery in AI servers and high-wattage CPUs/GPUs.
- Panasonic Energy eyes JPY1 trillion yen AI storage revenue by 2028 — DigiTimes, 2026-09-15Panasonic Energy plans to heavily invest in energy storage systems to meet surging demand from AI data centers.
- Panasonic reportedly raises CCL and PP prices again as IC substrate costs jump 30% — DigiTimes, 2026-09-02Panasonic is reportedly increasing prices for Copper Clad Laminate (CCL) and Printed Process (PP) materials due to a 30% spike in IC substrate costs.
Questions about Panasonic
- What does Panasonic make for AI data centers?
- This catalog places Panasonic on 3 parts: Copper-clad laminate & PCB materials (manufacturer), Passives (manufacturer) and Li-ion for UPS (manufacturer).
- Is Panasonic publicly traded?
- Yes — Panasonic is listed on Tokyo Stock Exchange under 6752.T. Prices shown on this page are a nightly snapshot, not real-time, and nothing here is investment advice.
- Where is Panasonic based?
- Japan, per the company record in this catalog.
- Who else makes copper-clad laminate & PCB materials for AI data centers?
- Doosan, Elite Material, Iteq, Nanya Plastics, Rogers and Shengyi are also placed on Copper-clad laminate & PCB materials in this catalog.
- How well sourced are these placements?
- Every part→company placement carries a confidence tag. For Panasonic the mix is 3 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a lead from the taxonomy with no citation yet. Treat reported and inferred as leads, not facts.
Answers are generated from this catalog's own rows — see sources & method.