Gongji Technology
Provides flexible, secure, and green computing services, aiming to make AI accessible and boost resource utilization.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | CNY20.0m | Seed | |
| Total Funding | 000k | ||
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Gongji Technology, also known as Gongji Computing, is a Beijing-based firm that emerged from Tsinghua University in 2023. The company is focused on developing a flexible scheduling network that integrates computing power with the electrical grid. Its core business is providing low-cost, secure, and green computing services tailored for the Artificial General-purpose Computing (AIGC) market. The business model appears to be service-based, generating revenue by supplying computing power to a diverse clientele.
The company's primary offering is a platform that utilizes sophisticated scheduling algorithms for the fine-grained allocation of thousands of GPUs. This service addresses the computational needs for AI inference, delivering flexible computing resources to its clients. The main benefit for users is access to high-performance computing at a reduced cost. Gongji Technology aims to boost the utilization rate of existing computing resources by a significant margin, targeting a 60% improvement. The firm serves leading AIGC companies, various research institutions, and individual researchers both domestically and internationally.
Since its inception, Gongji Technology has secured funding to support its growth. It completed a Seed round in September 2023 and an Early Stage VC round in October 2024. Key investors include MiraclePlus (the former Y Combinator China) and Tsinghua Innovation Ventures. This financial backing underscores the confidence in the company's approach to optimizing computational resource allocation in the rapidly expanding AI sector.
Keywords: GPU scheduling, computing power allocation, AIGC services, AI infrastructure, flexible computing, green computing, cloud computing optimization, high-performance computing, GPU-as-a-Service, AI inference computing, resource utilization, Tsinghua University startup, MiraclePlus portfolio, computational scheduling, energy-efficient computing, distributed computing, AI research support, deep learning infrastructure, GPU virtualization, computing-grid integration