Solaris Energy Prices $1.3B Notes at 6.375% as AI Power Buildout Accelerates

Solaris Energy Infrastructure on Tuesday priced a $1.3 billion private debt offering as the Houston-based company accelerates its push into powering AI data centers and other large-scale energy projects.

The company said its subsidiary, Solaris Energy Infrastructure LLC, priced the senior unsecured notes due 2031 with a 6.375% coupon. The notes will mature on May 15, 2031 and are expected to close on May 12. The offering was upsized from an earlier announcement the same day that Solaris intended to raise $1.3 billion through the debt sale.

Solaris said proceeds from the offering will be used to repay existing borrowings, cover related fees and expenses, and support general corporate purposes, including growth capital expenditures.

The financing adds to a growing wave of debt issuance tied to the AI infrastructure buildout, as companies race to secure capital for power generation, data center infrastructure and related equipment amid surging electricity demand from artificial intelligence workloads.

Solaris Energy Infrastructure has rapidly transformed itself from an oilfield logistics provider into a distributed power infrastructure company focused on supplying natural gas-powered generation for data centers and industrial customers.

The company rebranded from Solaris Oilfield Infrastructure after completing its acquisition of Mobile Energy Rentals in September 2024, expanding into mobile and behind-the-meter power generation services targeting data centers and commercial customers.

Earlier this year, Solaris disclosed a long-term agreement to provide more than 500 megawatts of power to a “leading hyperscaler” beginning in 2027. The company later announced another long-term contract to supply more than 600 MW of power capacity to an affiliate of an investment-grade global technology company, with deployments expected to ramp through 2028.

In March, Solaris also announced transactions that would add roughly 900 MW of natural gas-fueled turbine capacity between 2026 and 2029, bringing its projected operated power generation capacity to approximately 3.1 gigawatts by the end of the decade.

The company is among a growing group of energy and oilfield service firms seeking to capitalize on mounting demand for fast-track power solutions for AI data centers, particularly as grid interconnection delays increasingly constrain hyperscale development timelines.