Aggregate computing resources
Connect multi-region GPU resources for AI development, training, and inference needs.
Shanghai Shengsuanyun is a global AI large model computing infrastructure company supported by the Yangtze River Delta National Technology Innovation Center, dedicated to providing 'out-of-the-box' computing power and model services for AI startups. As an authorized agent for Volcano Engine, 'East-West Computing' intelligent computing centers, AWS, Google, and other manufacturers, the company aggregates high-quality global computing resources and breaks the bottleneck of high cost and low efficiency of traditional computing power through second-level elastic scheduling technology.
Shengsuanyun platform is centered on four modules: 'computing power aggregation market, second-level computing cluster, intelligent routing, and model supermarket'. The cross-cloud computing power network realizes direct rental and price comparison of global GPU resources, the Shengsuan cluster supports on-demand billing and pay-as-you-go, the intelligent routing gateway makes multi-modal large model calls more stable and efficient, and the model supermarket provides developers with full-cycle services from deployment to commercialization. The platform not only reduces AI computing power costs by 50%, but also builds a model trading ecosystem for supply and demand docking, helping enterprises land AI applications at low cost and quickly realize commercial monetization.
Founder Zhou Zhengjun, together with the core team from Internet giants and the chip field, promotes innovation with more than ten years of technical accumulation. The company has received computing power support from Amazon Cloud Innovation Program, was selected as '2024 Shanghai Top 50 Most Investment Potential', and is now empowering the national 'East-West Computing' strategy through technology, injecting surging momentum into the development of AI industry.






























































About Shengsuanyun
Shengsuanyun provides a path from infrastructure to application delivery through GPU resources, elastic model services, an enterprise AI gateway, and a model ecosystem for developers and businesses.
Connect multi-region GPU resources for AI development, training, and inference needs.
Turn models into continuously available services with elastic inference, model APIs, and intelligent routing.
Address access, cost, reliability, and deployment requirements for enterprise AI applications.
Start with the business requirement and define resources, models, and delivery options.
Describe the organization, use case, expected scale, and current computing or model service challenge.
Review viable options across GPUs, model deployment, API gateway capabilities, and enterprise integration.
Test performance, reliability, and cost in a real scenario before expanding the rollout.