Project Overview

What LinkCompute is

LinkCompute is a five-layer global AI service platform that brings together compute aggregation, model distribution, real-data evaluation, a tool ecosystem, and AI-driven orchestration.

We are not another "water seller" reselling raw compute. Our goal is to become a core piece of AI-era infrastructure — a single place where developers pick a model, compare prices, rent compute, plug in tools, and monetize.

Slogan

Link compute. Link users. Link the globe.

Vision

Build the most trusted global hub for AI compute and model orchestration, so any developer or business can access AI capabilities at the lowest barrier, best cost, and highest efficiency.

Why now

• Compute is a trillion-yuan track. China's smart-compute capacity is projected at ~1037.3 EFLOPS in 2025 and ~1180 EFLOPS in 2026, growing more than 3× faster than general compute; the compute rental market is estimated at ~260 billion RMB in 2026, up 43% year over year.
• MaaS is on the verge of explosion. China's MaaS market is expected to exceed a trillion RMB between 2025 and 2030. Average daily enterprise LLM calls jumped to 37 trillion tokens in H2 2025, up 263% from H1.
• Chinese models are starting to lead globally. Per OpenRouter, in February 2026 Chinese AI models occupied four of the global top five, with a combined share of 85.7%.
• Compute is massively underutilized. Smart data centers run at ~32% average utilization; general-purpose enterprise compute sits at 10–15%. This supply/demand gap is exactly the arbitrage space an aggregation platform can fill.
• AI agents are the next wave. China's enterprise Agent market is projected to grow at a 110%+ CAGR from 2025 to 2028.

LinkCompute sits at the intersection of all five curves.

Who it's for

• Developers and independent engineers who want one place to call OpenAI, Claude, Gemini, DeepSeek, Qwen and more, with real visibility into pricing, latency and availability per channel.
• Small and mid-sized businesses that would rather subscribe to stable, comparable, auditable API capacity than train their own hundred-billion-parameter models.
• Compute centers and GPU holders with idle capacity who need a path to consume it, wrap it as an API, sell it, and reach overseas buyers through a compliant channel.
• AI tool and Agent builders who have a good product but lack discovery, billing, settlement and distribution.
• "Simple mode" users who don't want to think about configuration — they describe the goal in natural language ("build me a smart support bot") and let the platform pick the model, compute and plan.

What's next

• Market opportunity — industry pain points and the mismatch we exploit
• Five-layer architecture — from compute resources up to AI orchestration
• Roadmap — domestic base → open-source + data → overseas site → tools → orchestration
• Business model and moat — multi-engine revenue and four structural moats