PDM - Power and Data Management is exhibiting at Yotta 2026 at Booth #138.
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This is one of my favorite parts of the job. Talking with customers, catching up with industry friends and meeting new people who are working on some pretty incredible p…
Company
PDM - Power and Data Management
Transformers in 9 weeks.
- Industry
- Industrial Machinery Manufacturing
- Location
- Atlanta, US
- Company size
- 11–50 employees
About PDM - Power and Data Management
PDM is an engineered-to-order manufacturer of heavy electrical equipment, including transformers, circuit breakers, and gas-insulated switchgear. As an OEM (original equipment manufacturer), the company provides in-house design, engineering, and manufacturing for hyperscalers, colocation providers, enterprises, and utilities. Our exclusive global partnerships with manufacturers enable us to deliver built-to-spec transformers in as little as 9 weeks, circuit breakers in 5 months and gas-insulated switchgear in 8 months. PDM leverages exclusive global partnerships and leadership experience from careers at GE and Emerson Electric to deliver high quality, reliable power distribution solutions. Our US-based operations in Salt Lake City strengthen our ability to meet requirements for 'Made in USA with imported and domestic parts’ which enhance our supply-chain reliability and economic impact at home. Our mission is to connect the power and data infrastructures with quality products deployed at unmatched speed. Our vision is ‘A World Free from Power Gridlock.’
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Latest activity from PDM - Power and Data Management
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Presence & Recognition
PDM - Power and Data Management is attending the AI Infra Summit at Booth #1341.
Presence & Recognition
PDM - Power and Data Management is attending Yotta 2026 Booth #138 and hosting a Night of Networking event at F1 Arcade Las Vegas featuring a teaming up with Industrial Electric Mfg. (IEM), Janitza North America, and STULZ USA.
Presence & Recognition
PDM - Power and Data Management is attending Yotta 2026 to compare perspectives, challenge assumptions, and discuss real-world AI infrastructure powering.
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