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# Hybrid Cluster Rollouts
SenseTime Launches Its Galaxy Project With a Galaxy Token Factory

By Adam Harrie | Written with AI assistance | Published 2026-08-03 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/Galaxy-Project
References: [artificialintelligence-news](https://www.artificialintelligence-news.com/news/sensetimes-galaxy-project-targets-domestic-ai-chip-scale-up/) & [sensetime](https://www.sensetime.com/en/)

![Hybrid Cluster Rollouts](https://cdn.trendhunterstatic.com/thumbs/625/Galaxy-Project.jpeg)

[SenseTime](https://www.trendhunter.com/trends/sensetime) launched the [Galaxy](https://www.trendhunter.com/trends/AI-native-productivity-PCs) Project to scale domestic AI chip infrastructure in China through an ecosystem of nearly 20 partners. Unveiled by company co-founder Yang Fan, the initiative connects chip-level technology, infrastructure partnerships and commercial deployment to support locally produced AI computing capacity.

Partners include Cambricon, [Huawei Ascend](https://www.trendhunter.com/trends/intelligent-computing-platform), Moore Threads, Biren Technology and other domestic chip and infrastructure companies. SenseTime also introduced a Tokens Per Watt efficiency metric and a Computing-Power Collaboration Agent for resource scheduling, electricity price prediction and energy optimization. The project includes plans for one token factory, five large-scale computing clusters, collaboration across 10 technology areas and support for 200 AI startups.

For enterprises, the initiative aims to simplify workload migration across different domestic chips through full-stack hardware and software adaptation. The rollout reflects China’s broader push to commercialize domestic AI processors, improve energy efficiency and build more resilient local computing supply chains.

Image Credit: SenseTime

## Trend Insights (Trend Hunter)

- Score: 5.6/10
- Popularity: 29% | Activity: 55% | Freshness: 84%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: Asia

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What's Driving This Trend

- **Hybrid AI Clusters:** Multi-vendor computing environments create room for orchestration platforms that simplify workload migration across heterogeneous domestic chip architectures.
- **Tokens-per-watt Metrics:** Energy-linked AI performance benchmarks introduce new ways for enterprises to evaluate compute efficiency, infrastructure costs and sustainable model deployment.
- **AI Resource Scheduling Agents:** Autonomous systems for electricity forecasting and workload allocation are reshaping how large-scale AI clusters optimize capacity, cost and uptime.

### Who This Affects Most

- **AI Infrastructure:** Domestic cluster ecosystems are expanding opportunities for localized compute platforms that reduce reliance on global chip supply chains.
- **Semiconductors:** Commercial demand for AI processors is accelerating innovation in chip compatibility, full-stack adaptation and performance optimization across diverse hardware vendors.
- **Energy Management:** AI-driven power prediction and efficiency tracking are creating new intersections between data center operations, grid pricing and intelligent energy use.

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