Exascale Labs said it is advancing an estimated $300 million pipeline of potential customer opportunities across its GPU-as-a-Service and AI infrastructure businesses. The company highlighted a combination of signed commercial agreements and nonbinding memoranda of understanding that could support near-term and recurring revenue.
Exascale recently signed a nonbinding memorandum of understanding with AI services company RUTILEA to potentially develop and commercialize up to 20 megawatts of data center capacity. The companies plan to negotiate a definitive agreement, although the proposed project may not proceed as currently contemplated.
The potential RUTILEA development would expand Exascale’s exposure to infrastructure designed for power-intensive artificial intelligence workloads. A 20-megawatt facility could support substantial computing capacity, depending on its equipment configuration, cooling systems and operating requirements.
Exascale also recently announced a three-year compute services agreement valued at $71.4 million with Dimension AI. The arrangement will provide Dimension AI with dedicated GPU computing capacity and represents a multi-year revenue opportunity for Exascale’s GPU-as-a-Service business.
GPU-as-a-Service allows customers to reserve or access high-performance graphics processing units without owning and operating the underlying data center equipment. The model can help AI developers obtain computing capacity for model training, fine-tuning and inference while converting large infrastructure investments into service expenses.
A separate nonbinding memorandum of understanding with AI Nova contemplates approximately $53 million in initial orders for GPU servers and related technical services. The parties still need to negotiate and execute a definitive agreement, and there is no assurance that the proposed orders will be completed.
Exascale also works with Compal Electronics on modular data center and power infrastructure offerings. The companies recently showcased modular facilities, high-voltage direct-current technology and solid-state transformer solutions at COMPUTEX Taipei 2026.
Modular data centers use prefabricated infrastructure that can be deployed in stages as computing demand increases. Exascale is positioning these systems as a way to address delays involving conventional construction, power availability, cooling and equipment installation.
The company has also developed high-density cooling, energy storage and power-management technologies intended for AI facilities. These capabilities are designed to support clusters running large language model training, high-volume inference and other demanding workloads.
Exascale operates an asset-light, software-defined platform that sources GPU capacity from third-party data centers around the world. It also provides cluster management and optimization services for operators seeking to improve the performance of their AI computing infrastructure.
The company is in the process of completing a business combination with D. Boral ARC Acquisition I Corp. under an agreement signed in January 2026. The transaction remains subject to shareholder approval, closing conditions and other risks associated with the proposed combination.
Exascale said the recent agreements demonstrate progress toward converting its customer pipeline into contracted revenue. However, the RUTILEA and AI Nova opportunities remain preliminary because they are based on nonbinding memoranda rather than completed commercial contracts.
KEY QUOTE:
“These agreements and non-binding MOUs represent tangible progress in advancing our estimated $300 million customer opportunity pipeline into both near-term and multi-year recurring revenue.”
“From the potential development of 20MW of data center capacity with RUTILEA and our partnership with global IT leader Compal Electronics, to the multi-year GPU-as-a-Service opportunity with Dimension AI, we are executing across both of our core business lines. These commercial developments strengthen our position as a leading modular data center and AI compute provider and give us a clear runway to commercialize our platform at scale.”
Hoansoo Lee, CEO of Exascale Labs
