Next-Generation Cloud Computing Power Infrastructure

UNBY

Making Compute Flow Like Water

UNBY builds a global distributed computing network, converging scattered cloud computing resources into a unified, efficient, and sustainable computing infrastructure. From AI model training to edge computing, every unit of compute is precisely matched and efficiently utilized.

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120+
Global Compute Nodes
50+ EFLOPS
Aggregated Compute
99.9%
Service Availability
30+
Countries & Regions
Vision & Mission

Redefining the Value of Computing

Computing power is the core productive force of the digital age. Yet today, global computing resources are unevenly distributed, underutilized, and inaccessible to many. UNBY is committed to breaking the computing monopoly and making compute as universally available as water and electricity.

Open & Inclusive

Breaking the computing monopoly of traditional cloud providers, we build an open computing sharing network. Whether individual developers, research institutions, or large enterprises — all can access the computing resources they need at a lower barrier. Compute should not be the privilege of a few giants, but a fundamental right in the digital age.

Efficient Flow

Through an intelligent scheduling engine, globally distributed computing resources are dynamically matched to the tasks that need them most. Compute is no longer locked in a single data center or region — it flows like water to where demand is greatest, maximizing resource utilization efficiency.

Sustainable Development

Promoting green computing by prioritizing renewable-energy-powered compute nodes to reduce carbon emissions. By improving the utilization of existing computing infrastructure, we reduce the need for new data center construction, minimizing electronic waste and energy consumption at the source — building an environmentally friendly computing ecosystem.

Cloud Computing Power Concept Core
Core Concept

What is Cloud Computing Power

Cloud Computing Power refers to the convergence of computing resources — including CPUs, GPUs, AI accelerators, and edge computing units — from across a distributed network into a unified computing pool, dynamically allocated and scheduled based on task demand.

UNBY deepens this concept further: we do not merely aggregate compute — we treat computing power itself as a measurable, tradable, optimizable digital resource. Through computing assetization, we unlock the maximum value of idle computing capacity, enabling consumers to obtain the resources they need at optimal cost.

Compute Assetization

Transforming distributed computing resources into measurable, tradable digital assets, unlocking the latent value of idle compute

Distributed Scheduling

Intelligent matching of compute supply and demand, achieving optimal resource allocation across regions and platforms

Elastic Scaling

Access compute on demand — scale up or down in seconds, with no need for upfront hardware investment

Green Priority

Smart scheduling system prioritizes low-carbon, renewable-energy-powered computing nodes

System Architecture

Four-Layer Technical Architecture

UNBY adopts a layered, decoupled architecture design. From the underlying computing resources to the upper application services, each layer has clear responsibilities and works in concert for high efficiency.

04

Application Ecosystem Layer

The compute service entry point for end users, providing AI training platforms, scientific computing environments, render farms, edge applications, and other diverse services

AI Training Scientific Computing 3D Rendering
03

Service Interface Layer

Standardized APIs and SDKs, providing developers and enterprises with a unified compute invocation interface, supporting multiple programming languages and frameworks

RESTful API SDK Multi-language
02

Scheduling Engine Layer

The core intelligent scheduling system, precisely matching compute tasks to optimal nodes based on real-time load, network latency, energy efficiency, and other multi-dimensional metrics

Smart Matching Load Balancing Energy Optimization
01

Computing Resource Layer

A globally distributed network of heterogeneous computing nodes, integrating data center GPU clusters, edge computing devices, personal idle compute, and other diverse resources

GPU Clusters Edge Nodes Heterogeneous
Ecosystem

Computing Ecosystem Participants

The UNBY ecosystem connects compute supply and demand, building a win-win computing economic cycle for all participants.

UNBY Ecosystem

Compute Providers

Data centers, mining-farm operators, research institutions, and individual compute owners connect idle computing resources to the network and earn returns on their contributions

Compute Consumers

AI enterprises, research teams, creative studios, and other organizations needing large-scale computing resources, obtaining compute services on demand at optimized cost

Platform Operators

Responsible for daily operations, scheduling optimization, security auditing, and quality of service assurance of the computing network, ensuring the ecosystem runs efficiently and stably

Developer Community

Global developers building computing applications on the UNBY platform, contributing tools, middleware, and solutions to enrich the application ecosystem layer

Industry Partners

Cloud service providers, hardware manufacturers, university labs, industry associations, and other strategic partners jointly advancing computing standardization and ecosystem development

Use Cases

The Future Powered by Compute

From artificial intelligence to scientific research, from creative industries to IoT — UNBY provides powerful support for compute-intensive scenarios of all kinds.

AI Model Training

Training large language models and multimodal models requires massive GPU compute. UNBY aggregates global GPU resources to provide elastic, highly available training environments for AI enterprises, supporting thousand-GPU parallel training and dramatically shortening model iteration cycles.

LLM Training Distributed Training Model Fine-tuning

Scientific Computing

Genome sequencing, drug molecular simulation, climate modeling, astrophysics simulation — these research scenarios demand enormous compute. UNBY provides universities and research institutions with cost-effective computing platforms to accelerate scientific discovery.

Genomics Drug Discovery Climate Simulation

3D Rendering & VFX

Film visual effects, architectural visualization, and game development require large-scale rendering compute. UNBY's distributed render farms can scale to thousands of nodes on demand, compressing rendering time from days to hours.

Film VFX Architectural Viz Game Dev

Edge Computing & IoT

Smart cities, autonomous driving, and industrial IoT require low-latency edge compute. UNBY's edge node network extends computing capability to the data source, enabling millisecond-level response and localized data processing.

Smart Cities Autonomous Driving Industrial IoT
Development Roadmap

Four-Phase Development Plan

From infrastructure construction to a global intelligent network, UNBY steadily advances the computing ecosystem.

Phase 1 · 2024 — 2025

Infrastructure Construction

Build the core compute scheduling engine, complete initial compute node deployment

  • Scheduling engine v1.0 launch
  • Initial 30+ compute nodes onboarded
  • Basic API and SDK released
Phase 2 · 2025 — 2026

Ecosystem Expansion

Expand compute network coverage, onboard diverse compute providers and consumers

  • Global node expansion to 80+
  • Developer community building
  • Industry partner program launched
Phase 3 · 2026 — 2027

Global Deployment

Enable cross-continental compute scheduling, build a globally distributed computing network

  • Coverage in 30+ countries and regions
  • Cross-continental low-latency scheduling
  • Green compute certification system
Phase 4 · 2027 —

Intelligent Upgrade

Introduce AI-driven predictive scheduling, achieving autonomous network optimization

  • AI predictive resource scheduling
  • Autonomous compute topology evolution
  • Fully automated energy optimization
Core Team

The UNBY Team

Composed of seasoned experts in cloud computing, distributed systems, and artificial intelligence, with extensive industry implementation experience.

Dr. Marcus Sinclair

Dr. Marcus Sinclair

CEO & Co-Founder

Former Chief Architect at a leading U.S. cloud provider, with over 20 years in distributed systems, leading the planning and deployment of multiple million-server cluster infrastructures

Dr. Daniel Whitman

Dr. Daniel Whitman

CTO & Co-Founder

Ph.D. in Computer Science from Stanford, former tech lead at a top Silicon Valley company, recognized authority in heterogeneous computing and intelligent scheduling algorithms

Sarah Morgan

Sarah Morgan

Chief Ecosystem Officer

Former ecosystem partnership lead at a major international cloud provider, with an extensive partner network and ecosystem resources across North America, Europe, and Asia-Pacific

Dr. James Harrison

Dr. James Harrison

Chief Scientist

Ph.D. in Computer Science from MIT, IEEE Fellow, 50+ top-tier conference publications, long-time researcher in computing networks and green computing