AZIO AI and Envirotech Vehicles (NASDAQ: EVTV) Execute Scalable AI Infrastructure Strategy Designed for Multi-Megawatt Expansion

Rhea-AI Summary

Envirotech Vehicles (NASDAQ: EVTV) and AZIO AI announced a scalable AI infrastructure program focused on integrated power, cooling, and modular compute to support sustained, production-level AI workloads.

The Texas reference deployment uses behind-the-meter natural gas generation and purpose-built cooling to run continuous operations and gather live performance, efficiency, uptime, and economics data. Initial modules support ~500 kW compute (≈1,000–1,250 units) with designed expansion paths to ~5 MW (10,000+ units) and larger multi‑megawatt campuses. The commercial framework has AZIO AI selling hardware while EVTV owns hosted assets.

Positive

• Initial module supports ~500 kW compute (~1,000–1,250 units)
• Design pathway to ~5 MW supporting 10,000+ compute units
• On-site power (behind-the-meter) enables faster deployment timelines
• Live operational data from Texas reference deployment to refine design

Negative

• None.

Key Figures

Share price: $3.68 Daily price change: 3.66% Market cap: $17,144,778 +5 more

8 metrics

Share price $3.68 Latest price before this news

Daily price change 3.66% 24-hour move prior to article

Market cap $17,144,778 Equity value prior to article

Initial compute load 500 kW Initial configuration compute capacity

Compute units at 500 kW 1,000–1,250 compute units Capacity based on high-density AI configurations

Compute units at 5 MW 10,000+ compute units Scaling pathway at 5 MW

Compute units at tens of MW 100,000+ compute units Potential at larger multi‑tens‑of‑MW deployments

52-week range vs low 1008.1% above 52-week low Position relative to <b>$0.3321</b> 52-week low

Market Reality Check

Price: $187.68 Vol: Volume 15,088,956 vs 20-d...

low vol

$187.68 Last Close

Volume Volume 15,088,956 vs 20-day average 77,878,620 suggests muted trading relative to recent activity. low

Technical Shares trade above the 200-day MA, at $3.68 vs 200-day MA of $1.81.

Peers on Argus

EVTV gained 3.66% while peers showed mixed moves (e.g., AYRO +7.35%, ECDA -11.73...

EVTV gained 3.66% while peers showed mixed moves (e.g., AYRO +7.35%, ECDA -11.73%, CENN -5.74%), indicating stock-specific AI/infra focus rather than a broad auto-manufacturer sector move.

Historical Context

5 past events · Latest: Jan 12 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Jan 12	Government GPU order	Positive	+442.0%	Large binding government GPU order and expanded AI pipeline.
Jan 06	Merger investor interest	Positive	+49.0%	Strategic investor support for AZIO–EVTV merger at $3.00 per share.
Jan 06	AZIO acquisition LOI	Positive	+49.0%	Transformational LOI for EVTV to acquire 100% of AZIO AI.
Dec 22	Strategic discussions update	Positive	+25.0%	Further detail on strategic talks and shareholder-aligned framework.
Dec 18	Initial LOI details	Positive	-34.8%	LOI for EVTV to acquire AZIO AI and refocus on AI infrastructure.

Pattern Detected

AI- and AZIO-related announcements have often driven large moves, with some positive news episodes followed by sharp downside, indicating volatile reactions to transaction and AI-infrastructure headlines.

Recent Company History

Over the past months, EVTV-linked news has centered on a strategic pivot into AI infrastructure via AZIO AI. Releases on Dec 16–22, 2025 outlined an exclusive framework, LOI, and independent valuation around $480 million. Subsequent January 2026 updates introduced strategic investor interest and a proposed merger at $3.00 per EVTV share, plus a large government GPU order worth about $107 million. Today’s AI infrastructure deployment update fits this trajectory of repositioning EVTV from vehicles toward AI compute and data-center economics.

Regulatory & Risk Context

Active S-3 Shelf

Shelf Active

Active S-3 Shelf Registration 2025-08-18

Envirotech Vehicles has an active S-3/A shelf registration filed on 2025-08-18, expiring on 2028-08-18. The filing is not yet effective and 0 usage events are recorded in the provided data.

Market Pulse Summary

This announcement highlights AZIO AI’s scalable, behind-the-meter AI infrastructure framework with i...

Analysis

This announcement highlights AZIO AI’s scalable, behind-the-meter AI infrastructure framework with initial 500 kW capacity designed to scale to multi‑megawatt deployments and 100,000+ compute units. Context from recent months shows EVTV methodically repositioning toward AI through LOIs, valuation work around $480 million, and merger frameworks referencing $3.00 per share. Investors may monitor execution of the Texas reference site, progress on additional facilities, and ongoing regulatory and governance milestones disclosed in recent SEC filings.

Key Terms

behind-the-meter, modular deployment architecture, multi-megawatt, high-density AI computing, +1 more

5 terms

behind-the-meter technical

"The infrastructure utilizes on-site, behind-the-meter power generation, providing AZIO AI..."

Equipment or systems located on a customer’s side of the electricity meter—such as rooftop solar panels, battery storage, electric vehicle chargers, or energy controls—that generate, store, or manage power for use on-site rather than being supplied through the utility’s grid. Investors care because behind-the-meter assets change how much power a customer buys, can create new revenue or savings streams, affect demand patterns, and shift regulatory or business models in the energy market, much like a homeowner installing their own water tank reduces municipal supply needs.

modular deployment architecture technical

"...purpose-built cooling systems, self-owned behind-the-meter power, and modular deployment architecture."

A modular deployment architecture is a way of building and delivering software so that distinct functions are packaged as separate, independent pieces that can be updated, scaled, or replaced without touching the whole system. For investors this matters because it reduces the risk and cost of rolling out new features or fixing problems—like swapping out a single brick in a wall instead of rebuilding the entire house—leading to faster time-to-market, lower downtime, and more predictable operating expenses.

multi-megawatt technical

"...advances toward larger-scale multi-megawatt deployments."

Multi-megawatt describes equipment, projects or systems that produce or consume power in quantities of several megawatts (each megawatt equals one million watts), indicating a large-scale capacity rather than a small appliance. For investors it signals significant size and capital intensity — like comparing a single household generator to the power needed for several large office buildings — which affects potential revenue, operating costs, permitting complexity and grid impact.

high-density AI computing technical

"AZIO AI is deploying proprietary cooling and power systems engineered specifically for high-density AI computing."

High-density AI computing is the practice of packing a large amount of specialized processing hardware (like GPUs or other AI accelerators) into a small physical footprint—racks, cabinets, or server units—so many AI tasks can run faster and in parallel. For investors it matters because it can lower the cost per unit of AI work, increase performance and capacity in a given data center space, and change capital, power and cooling needs—similar to fitting more engines into a single vehicle to boost speed but also raise fuel and maintenance demands.

compute units technical

"Approximately 500 kW can support 1,000–1,250 compute units..."

Compute units are a standardized way to describe the amount of computer processing power a service or piece of hardware can deliver, similar to how horsepower describes an engine. Investors care because companies selling or using compute units translate that capacity into revenue, costs and scalability: more efficient or cheaper compute can boost margins, support higher-priced services, and indicate competitive advantage in technology-driven businesses.

AI-generated analysis. Not financial advice.

Integrated Power, Cooling, and Compute Architecture Addresses a Rapidly Expanding Global AI Infrastructure Market Measured in the Tens of Billions of Dollars Annually

LOS ANGELES, Jan. 21, 2026 /PRNewswire/ -- AZIO AI, a next-generation artificial intelligence and high-performance computing infrastructure platform, and Envirotech Vehicles, Inc. (NASDAQ: EVTV) ("EVTV"), today announced continued execution of a scalable AI infrastructure program designed to support sustained, real-world compute workloads using purpose-built cooling systems, self-owned behind-the-meter power, and modular deployment architecture.

The infrastructure is engineered to operate under continuous, production-level demand, generating live operational data that directly informs system design, efficiency, and economics as AZIO AI advances toward larger-scale multi-megawatt deployments.

Purpose-Built Infrastructure Designed for Scale
AZIO AI is deploying proprietary cooling and power systems engineered specifically for high-density AI computing. Unlike legacy data-center designs adapted for AI workloads, AZIO AI's architecture is optimized from inception for sustained thermal performance, power efficiency, and operational reliability as compute density increases.

By integrating cooling and power at the infrastructure level, AZIO AI aims to improve performance predictability while reducing dependency on third-party utility constraints that increasingly limit large-scale AI deployments.

Self-Owned, Behind-the-Meter Power Strategy
The infrastructure utilizes on-site, behind-the-meter power generation, providing AZIO AI with increased control over cost structure, uptime reliability, and expansion timelines. This approach is designed to mitigate grid congestion and long interconnection lead times that have become a growing challenge for AI-driven compute facilities.

The power strategy is intended to be repeatable across future AZIO AI sites, supporting faster deployment of additional capacity as demand scales.

Texas-Based Reference Deployment Supporting Global Infrastructure Development
AZIO AI's initial deployment is located in Texas, at operating oil field sites that produce on-site natural gas from underground reserves, which is used to generate power on a continuous, 24/7 basis through dedicated generation equipment.

The Texas deployment is structured as a reference operating environment, enabling AZIO AI to evaluate power generation, cooling performance, system reliability, and operational economics under sustained, real-world conditions. Rather than being site-specific, the infrastructure is designed to generate data and operational insights that can be applied across AZIO AI's broader platform.

Learnings derived from this deployment—including power management, thermal efficiency, uptime characteristics, and modular deployment practices—are intended to inform the design, deployment, and operation of future AZIO AI infrastructure across international markets, including locations where grid capacity, energy reliability, and deployment timelines present similar constraints.

By utilizing behind-the-meter natural gas generation and modular infrastructure in a controlled operating environment, AZIO AI is developing repeatable deployment frameworks intended to support future domestic and overseas data center and AI infrastructure projects.

Built for Continuous, Real-World AI Workloads
The system is designed to operate under sustained, full-time computing demand, enabling AZIO AI to measure real-time performance across power utilization, cooling efficiency, uptime, and system economics. Data gathered from live operations is used to refine infrastructure design, improve cost efficiency, and accelerate deployment of larger-scale facilities.

This operational data forms a core component of AZIO AI's broader infrastructure roadmap, supporting expansion from initial deployments to multi-megawatt and, over time, larger-scale AI compute campuses.

Modular Architecture Enables Incremental Expansion
The modular design allows compute and power capacity to be added incrementally while maintaining consistent performance standards. Initial configurations are capable of supporting approximately 500 kilowatts (kW) of compute load, with expansion pathways designed to scale to multiple megawatts as deployment milestones are achieved.

Based on typical high-density AI configurations:

• Approximately 500 kW can support 1,000–1,250 compute units
• Approximately 5 megawatts (MW) can support 10,000+ compute units
• Larger deployments in the tens of megawatts can support 100,000+ compute units, subject to final configuration and commercial arrangements

Commercial Framework with EVTV
Under the current structure:

• AZIO AI supplies and sells compute hardware
• EVTV owns the deployed compute assets
• Compute units are hosted within a managed hosting environment
• AZIO AI participates through hardware sales and platform-level infrastructure economics
• EVTV participates through infrastructure ownership and hosting economics

This framework is designed to align long-term incentives while supporting scalable deployment across future facilities.

Market Opportunity and Industry Context
Global demand for artificial intelligence compute and supporting infrastructure continues to accelerate, driven by the rapid adoption of large language models, enterprise AI deployment, sovereign AI initiatives, and increasing power constraints across traditional data center markets. According to publicly available research and commentary from leading global institutions including McKinsey & Company, Bloomberg, Goldman Sachs, NVIDIA (NASDAQ: NVDA), and the International Energy Agency (IEA), AI-driven data center expansion, power infrastructure, and advanced cooling requirements represent a rapidly expanding global market measured in the tens of billions of dollars annually, with continued growth expected as AI workloads scale and energy-efficient, behind-the-meter architectures become increasingly critical.

AZIO AI's vertically integrated approach—combining purpose-built cooling, self-owned power, modular infrastructure, and high-density compute—positions the Company to participate in this expanding market as deployments scale across future facilities.

Forward-Looking Statements
This press release contains statements that do not relate to historical facts but are "forward-looking statements" within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. These statements can generally (although not always) be identified by their use of terms and phrases such as anticipate, appear, believe, continue, could, estimate, expect, indicate, intend, may, plan, possible, predict, project, pursue, will, would and other similar terms and phrases, as well as the use of the future tense. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on current beliefs, expectations and assumptions regarding the future of the business of the Company, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Forward-looking statements in this press release speak only as of the date hereof. Unless otherwise required by law, we undertake no obligation to publicly update or revise these forward-looking statements, whether because of new information, future events or otherwise.

Media & Investor Relations Contact

Phoenix Management Consulting
Email: press@phoenixmgmtconsulting.com

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SOURCE Azio AI Corporation

FAQ

What capacity does the AZIO AI reference deployment for EVTV start with?

The initial configuration supports approximately 500 kW of compute load (about 1,000–1,250 compute units).

How far can AZIO AI's modular architecture scale for EVTV projects?

Expansion pathways are designed to scale to roughly 5 MW (10,000+ units) and to multi‑megawatt campuses beyond that.

What power strategy is AZIO AI using at the EVTV Texas site?

AZIO AI uses behind-the-meter on-site natural gas generation to provide continuous 24/7 power for compute operations.

How do AZIO AI and EVTV split commercial roles in the deployment?

AZIO AI supplies and sells compute hardware while EVTV owns the deployed assets and hosts them in a managed environment.

What operational data will the Texas deployment produce for EVTV and AZIO AI?

It will generate live metrics on power management, thermal efficiency, uptime, and system economics to inform future deployments.

Will AZIO AI's design reduce dependence on local utilities for EVTV deployments?

Yes; the integrated cooling and self-owned power approach is intended to reduce dependency on third-party utilities and mitigate interconnection delays.