CleanCore Solutions Signs 10-Year AI Colocation Agreement with Cerebras Systems for Minnesota Data Center Campus
CleanCore Solutions, Inc., listed on NYSE American under the ticker ZONE, has entered into a colocation services agreement with Cerebras Systems, the AI chip company trading on Nasdaq under the ticker CBRS, for an artificial intelligence data center campus to be built in Minnesota.
Agreement Details and Facility Specifications
The colocation services agreement carries a term of 10 years and establishes CleanCore Solutions as the provider of data center infrastructure for Cerebras Systems' AI computing operations.
The planned campus is being designed to Tier 3 standards, a designation that reflects a high level of redundancy and uptime reliability in data center construction and operations.
According to the announcement, the facility is designed to deliver approximately 55 megawatts of utility power capacity and 40 megawatts of critical IT load.
The distinction between utility power capacity and critical IT load reflects the additional power requirements beyond raw computing infrastructure, including cooling, lighting, and other supporting systems that accompany large-scale data center operations.
The Companies Involved
CleanCore Solutions is a publicly traded company on the NYSE American exchange. The company's existing product portfolio includes aqueous ozone-based cleaning systems across commercial and residential applications, ranging from fill stations and portable cleaning devices to commercial laundry systems.
The Minnesota data center campus represents a significant strategic expansion beyond the company's established cleaning technology business.
Cerebras Systems is a semiconductor and AI computing company that trades on Nasdaq under the ticker CBRS. The company has positioned itself in the artificial intelligence infrastructure market, developing chip technology designed to accelerate AI workloads.
By securing a colocation agreement of this scale, Cerebras is expanding its physical computing footprint with a dedicated campus rather than relying solely on shared commercial data center facilities.
Minnesota Campus and Power Infrastructure
The data center campus will be located in Minnesota, though the specific city or site within the state was not identified in the available announcement text.
The facility's design target of Tier 3 certification places it among data centers engineered for concurrent maintainability, meaning components can be removed or replaced without shutting down the system entirely.
The 55 megawatt utility power figure represents the total power draw the campus is designed to support from the electrical grid, while the 40 megawatt critical IT load figure refers specifically to the power available for servers, storage, and networking equipment.
A gap of approximately 15 megawatts between total utility draw and critical IT load is consistent with industry norms for facilities at this scale, accounting for the power overhead required to run mechanical and electrical support systems, including cooling infrastructure that is particularly demanding in high-density AI compute environments.
Context in the AI Infrastructure Market
The agreement between CleanCore Solutions and Cerebras Systems reflects the broader surge in demand for dedicated AI data center capacity across the United States.
Technology companies and AI-focused firms have been seeking long-term, purpose-built facilities capable of handling the dense power and cooling requirements of modern AI accelerator hardware, which differs substantially from traditional enterprise computing in its power intensity.
A 10-year term on a colocation agreement of this nature is notable for the length of commitment it represents on both sides.
Recently, CleanCore Solutions closed its first data center deal for a 500-megawatt West Texas Campus.
For CleanCore Solutions, it provides a long-duration revenue stream tied to the build-out and operation of a major infrastructure asset.
For Cerebras Systems, it secures a dedicated physical location for its AI computing operations over an extended horizon.
The Tier 3 design standard selected for the campus is commonly chosen by enterprise and hyperscale operators who require high availability without the additional cost premium of Tier 4 designs, which require full fault tolerance across all systems.
Tier 3 facilities target an uptime figure of 99.982 percent annually according to industry classification frameworks, making them suitable for mission-critical AI inference and training operations.