首页-UE科技公司

Win the Crisis

Think and Change the Future

Help enterprises use the Internet better

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O&M application ecosystem

Scenario-driven, on-demand definition, and co-creation of rich O&M applications, avoiding the construction of shaft tools and continuous accumulation of O&M capabilities

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The CMDB is used as the main data for O&M to provide closed-loop O&M business support for collection, calculation, scheduling, control, and operation

Closed-loop support for O&M
Share platform-based services

With big data and machine algorithms as the fulcrum, we will build common components and services for O&M, and establish a shared support platform for O&M

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Open a new perspective of Platform Ops

Apps out of box

1000+ apps out of the box

A p p o p t i m i z a t i o n

It supports 1000+ common applications in multiple fields such as EDA/BIO/CAE/AI/Fintech, and there is no need to change the operation habits
Efficiency improvement

R&D efficiency increased by 20 times

A p p o p t i m i z a t i o n

Through application parallelization transformation and cloud-native optimization
, the operation efficiency of core algorithms and tools in typical application scenarios is greatly improved
Process & Script Automation

Custom workflows & script automations

Customize workflow templates and script automation based on user usage scenarios

A p p o p t i m i z a t i o n

Full lifecycle O&M service escort

Professional services throughout the life cycle, comprehensive experience in the implementation of operation and maintenance software, and worry-free operation and maintenance

Full lifecycle O&M service escort

Comprehensive, standard, knowledge-based enterprise operation and maintenance methodology and consulting services
Project delivery services

Flexible and reliable industry-level O&M software delivery service capabilities
After-sales support services

Multi-channel service response, systematic after-sales process and on-site support
Ecological cooperation services

Collaborate with partners to prosper the O&M middle office ecosystem

AI labs in colleges and universities

• apply：PyTorch

• products：Multi-cloud PaaS platform

• Application scenarios：One-stop AI computing PaaS platform

Leveraging the powerful computing power and extensibility of the cloud, students and external personnel can complete their AI learning and training inference needs through a one-stop platform without worrying about insufficient resources

AI-assisted drug research

• apply：GPU

• products：Software and hardware integrated computing power solutions

• Application scenarios：Multidrug side effect training

Local memory resources and GPU resources are limited, and the training speed is slow. The cost of public cloud GPUs is high, and it is hoped that resources on the public cloud can be effectively utilized