AZIO AI Corporation ("AZIO AI" or the "Company"), a next-generation artificial intelligence infrastructure and high-performance compute platform, today announced it has secured binding, non-refundable customer deposits representing approximately 42% of its previously disclosed $108 million GPU infrastructure pipeline, signaling early-stage demand for access to its planned large-scale AI compute capacity.

Azio AI (PRNewsfoto/Azio AI Corporation)

These customer commitments reflect coordinated execution across AZIO Corp. and AZIO AI, aligning infrastructure development, capital strategy, and customer onboarding as part of a unified platform buildout designed to support scalable AI compute deployment.

Demand for GPU-accelerated compute capacity continues to outpace available supply globally, prompting enterprise and institutional participants to secure infrastructure access in advance of deployment. Management believes this dynamic is contributing to a shift toward pre-allocation of compute capacity, with customers increasingly seeking to lock in access ahead of infrastructure activation.

Customer Deposits Establish Early Capacity Reservation

The Company, in coordination with AZIO Corp., confirmed that deposits received to date are contractually committed and non-refundable, representing secured participation from customers seeking access to AZIO AI's planned GPU compute infrastructure.

These deposits are associated with anticipated deployments of NVIDIA GPU-based systems designed to support enterprise artificial intelligence workloads, high-performance computing (HPC), and next-generation data center applications.

Importantly, these early-stage commitments provide forward visibility into infrastructure utilization, as reserved capacity is expected to be allocated upon system deployment and activation.

Execution Pathway: From Deposits to Infrastructure Deployment

AZIO AI, alongside AZIO Corp., is actively advancing procurement coordination, system integration, and site-level deployment planning in support of converting customer deposits into operational infrastructure.

The Company's deployment model is built around a modular, scalable architecture designed to enable:

  • Accelerated infrastructure rollout timelines



     
  • Flexible configuration of GPU compute clusters



     
  • Energy-efficient cooling and power optimization strategies



     
  • Repeatable deployment across multiple sites

This framework is designed to support a structured transition from reserved customer capacity to deployed, revenue-generating infrastructure, while maintaining adaptability to evolving AI workload requirements.

Timing of hardware delivery, installation, and activation remains subject to manufacturing schedules, logistics coordination, and broader supply chain conditions.

Scalable Infrastructure Platform and Multi-Site Expansion Framework

The $108 million pipeline represents a broader infrastructure buildout strategy, not a single-site deployment. AZIO AI is developing a repeatable deployment blueprint designed to support multi-location expansion, enabling the Company to scale compute capacity in alignment with customer demand.

Management views early deposit commitments as a key indicator supporting future site activation planning, infrastructure allocation, and capital deployment sequencing.

This scalable model is intended to position AZIO AI as a long-term infrastructure provider within the global AI compute ecosystem, with the ability to expand capacity as demand continues to accelerate.

Strategic Alignment with Envirotech Vehicles (NASDAQ:EVTV)

As previously disclosed, AZIO AI and Envirotech Vehicles, Inc. (NASDAQ:EVTV) are engaged in ongoing discussions regarding a potential strategic transaction, which may include a merger or business combination.

The contemplated alignment is intended to combine AZIO AI's infrastructure platform and deployment strategy with EVTV's public market platform, supporting enhanced access to capital markets and enabling accelerated infrastructure scaling initiatives.

No definitive agreement has been executed at this time.