NGEN Launches Data Center Power and Cooling Supply Service

Sep 30, 2026
NGEN Mission Critical launched a service that gives data center developers one partner for sourcing, engineering, certification, delivery and support of power and cooling equipment.

NGEN Mission Critical launched a single accountability service model for data center power and cooling equipment, the company said in a press release. The service connects developers with manufacturing capacity from qualified suppliers in the United States and other countries.

NGEN handles engineering oversight, documentation, certification, logistics, delivery support, equipment staging, field service, spare parts and warranty coordination. Its engineering team also works with manufacturers to meet customer specifications and applicable United States standards.

NGEN also formed a partnership with Arizona manufacturer Air2O for custom thermal management systems. NGEN will lead project delivery, engineering and code compliant documentation, while Air2O will provide engineering support, technician training, repair support and spare parts.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Guide
Private AI chip companies, by latest reported valuation

Private AI chip companies, by latest reported valuation

Private companies building AI compute silicon (the chips that run AI workloads), shown with each company's most recent reported or disclosed valuation. The figures are measured on different dates and bases, so this is a snapshot, not a live ranking or a like-for-like comparison.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.