Computing power that flows like water
A plug-and-play AI computing foundation, delivered where you need it. We miniaturize and decentralize intelligent computing centers with compute-energy synergy and heterogeneous integration.
Cabin PUE
≈1.1
vs. traditional IDC
-35% TCO
Heterogeneous compatibility
Full-stack heterogeneous compatibility
From domestic silicon to global architectures, one scheduling layer, seamless migration.
Industry pain points
Three barriers of traditional compute infrastructure in the AI era
Slow, expensive and hard to reach: three walls that AI businesses keep hitting with traditional infrastructure.
Slow: long delivery cycles
Traditional IDC is heavy infrastructure. Site selection, approvals and construction often take 1–2 years, far behind weekly AI iteration cycles.
Costly: high operating expenses
Electricity accounts for over 70% of operating costs. In core eastern cities, PUE commonly reaches 1.3–1.5, with much power consumed by cooling.
Hard: scenarios left uncovered
Data-sensitive finance and government scenarios, remote industrial parks and extreme environments are poorly served by centralized computing.
Our approach
Not moving servers, but rebuilding infrastructure at the physical level
We deploy compute nodes close to cheap energy and data sources, so compute, energy and data work as one system.
Compute follows cheap power
Deploy compute where renewable energy is abundant, consume clean power locally, and reduce both carbon footprint and operating cost at the source.
Compute follows data
Bring high-density compute to where data is generated. Process locally, remove network latency, and protect data privacy and compliance.
Full-stack portfolio
Four layers, one closed loop
Energy-efficient physical foundation, software-defined compute OS, turnkey MaaS, and commercial operations.
Three moats
Barriers that are hard to replicate
Compute integration, energy integration and a model foundation form a systemic advantage that is hard to replicate.
Moat 1: Heterogeneous compute
A full-stack heterogeneous abstraction layer decouples hardware from scheduling. Supports Ascend, Hygon, Cambricon, Loongson and Phytium, alongside NVIDIA, AMD and Intel platforms.
Moat 2: Deep energy integration
Direct 10kV grid or wind-solar DC microgrid connections, combined with distributed PV, storage and charging to consume green power locally and optimize against peak-valley tariffs.
Moat 3: Agile model foundation
An AI Token aggregation platform and Token factory at the application layer cut vertical-industry deployment costs by nearly one third, turning AI into real business value.
Comparison
Mobile compute cabins vs. traditional data centers
Delivery cycle
Traditional IDC
18–24 months including construction and approvals
Mobile compute cabin
2–3 months, prefabricated and plug-and-play
Energy efficiency (PUE)
Traditional IDC
1.3–1.5, reliant on conventional air cooling
Mobile compute cabin
≤1.1 with direct green power and cold-plate liquid cooling
Deployment flexibility
Traditional IDC
Fixed to industrial parks or specific land parcels
Mobile compute cabin
Anywhere: land, sea, remote off-grid sites
Total cost of ownership
Traditional IDC
Baseline 100%, including heavy construction
Mobile compute cabin
35%+ lower, no civil works and lower energy use
Compliance & security
Traditional IDC
Subject to local regulation, fixed physical boundary
Mobile compute cabin
Air-gapped capable, private deployment, controllable compliance
Use cases
Computing power that reaches every corner
Lower-tier markets & industrial parks
Access affordable local power, deliver low-latency compute for industrial inspection, smart manufacturing and mining, while keeping data on site.
Learn moreExtreme & edge scenarios
Built for deep-sea exploration, offshore wind, emergency response and remote mining, tolerating humidity, salt, wide temperatures and vibration.
Learn moreUniversities, research & private clouds
A single cabin needs only 3–5 parking spaces, runs below 50 dB, and supports air-gapped operation and Level-3 security compliance.
Learn moreFlagship case
Chengan County Intelligent Computing Center
Chengan County, Hebei, China
Built on mobile compute cabins, the project supported Hebei's first county-level OPC computing voucher and a sustainable local compute ecosystem.
¥350M
Planned investment
1000P
Planned capacity
200P
First phase
≤1.2
PUE
Supporting Hebei’s first county-level OPC computing voucher and a county model of affordable power plus compute enablement.
Cooperation models
Four ways to work with us
Turnkey cabin delivery
CAPEX model. Customers purchase hardware outright, own the asset and retain full control. Ideal for well-funded enterprises and government clients.
Elastic compute leasing
OPEX model. Subscribe by Token or compute unit on demand, lowering the entry barrier for internet companies and AI startups.
Joint operation
Customers provide land and power; we provide equipment and operations. Revenue is shared by agreement, activating idle resources.
Full-stack managed operations
24/7 cluster operations, incident response, performance tuning and energy optimization to reduce O&M burden and ensure continuity.
R&D strength
Backed by industry-academia research
Working with universities and research institutes to bring compute-energy synergy from papers to industrial sites.
With extreme compute-energy synergy and heterogeneous integration, we miniaturize and decentralize intelligent computing centers into every industry, reshaping the cost and ecosystem boundaries of AI 2.0.
Compute-Energy Research Institute
Co-built with Northeastern University and Xi’an Jiaotong University, led by national-level computing experts, combining academic research with industrial practice.
National Industrial Internet Platform
Co-building the long-process industrial section of the national industrial internet platform, integrating compute scheduling with industrial scenarios.
Experienced R&D team
Our core team brings together PhDs and professors from Northeastern University, Columbia University and other leading institutions.
IP and technology portfolio
Core patents in compute-energy synergy, heterogeneous scheduling and liquid cooling, with deep involvement in national energy-efficiency standards.
Your trusted AI infrastructure partner
From site selection and delivery to operations and commercialization, AequiFlux turns computing into a sustainable business.