Envision: Powering the Global AI Race with 5GW Desert Plan

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Mission Gobi project deploys green computing infrastructure across the expansive and arid Gobi desert region. Credit: Getty Images
Lei Zhang, CEO at Envision, says the firm aims to build sustainable data centres in arid regions, using AI to solve critical infrastructure bottlenecks

Envision announced its new initiative at VivaTech 2026, launching Mission Gobi to develop 5GW of green AI data centre (AIDC) capacity in desert and arid regions for development by 2030.

The Gobi is a vast desert region stretching across parts of northern China and southern Mongolia, known for its extreme climate and expansive arid landscapes. 

The company, known for providing renewable energy system solutions for global enterprises, aims to create a new model for clean and scalable AI growth with this move. 

By building on its existing AI Power System capabilities which it already deploys at scale, the green technology company aims to transform how computing infrastructure is powered.

Envision Energy provides comprehensive renewable energy system solutions, developing smart wind turbines, energy storage and green hydrogen systems globally. Credit: Envision
KEY FIGURES
  • The Mission Gobi initiative targets the development of 5GW of green AI data centre capacity in desert and arid regions by 2030
  • Developing a mere 1% of global desert and Gobi regions can support terawatt-scale computing capacity at a highly competitive cost

Need for system-level integration

The expansion of computing power occurs against the backdrop of the energy transition in Europe, where rising electricity demand and power security are pressing concerns for the region. 

Lei Zhang, Founder and CEO of Envision, noted at the event that the AI revolution is exposing a new structural bottleneck in energy systems. 

He says: “The traditional power system was not designed for the scale and speed of the AI era.

“Mission Gobi offers a new system-level approach – integrating renewable energy, storage, grid infrastructure and computing to deliver scalable, cost-competitive clean power.

“Building on our successful partnerships in Europe, we believe it can support Europe’s AI growth, energy security and clean energy transition.

“Importantly, Mission Gobi is designed as a replicable blueprint. Developing even 1% of global desert and Gobi regions could support terawatt-scale computing capacity at highly competitive cost, helping accelerate the deployment of AI infrastructure worldwide.” 

Lei Zhang, Founder and CEO of Envision. Credit: World Economic Forum

Green computing at scale

Envision already deploys its green energy systems at scale across multiple facilities to prove the commercial viability of its technology. 

The company operates the world’s first AI data centre in Chifeng, China, which runs entirely on direct green power. 

This operational facility proves the viability of matching clean energy generation directly with high-density computing loads without relying on traditional carbon-intensive grids.

The company is also constructing the Envision Galaxy Campus in Ulanqab, China, to expand its operational footprint.

The site functions as the only gigawatt-scale AIDC in the world powered by directly connected renewable energy.

These projects show how nations can strengthen both technology leadership and energy security simultaneously as computing demands rise.

The business will work alongside an ecosystem of international partners to accelerate the deployment of these facilities worldwide. 

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Envision plans to collaborate with governments, utilities, technology companies, infrastructure investors and local partners. 

The joint effort focuses on delivering power systems that remain clean, intelligent, flexible and affordable for clients.

The business encompasses three major sectors, which are Smart Wind Turbines, Energy Storage and Green Hydrogen Solutions.

Envision strives to reduce the production, storage and synergy costs of renewable energy through technological innovation to solve the challenges for a sustainable future. 

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