Rapid AI adoption at low cost
Deliver ready-to-use solution to ensure the compatibility and adaptation between software and hardware for AI systems;
Simplify model deployment and improve enterprise-level features to reduce the engineering development cost;
Integrate software and hardware to improve performance and reduce computing consumption;
Render high stability to enhance business outcomes.
Lower technology barrier
Code-free go-live of models;
Connect to business systems via various APIs/SDKs;
Real-time monitoring of systems and models;
Enterprise-level architecture, which ensures timeliness and stability of applications.
Easier management of heterogeneous AI models
Support unified management of heterogeneous AI models to ensure high performance, reliable application launch, and sufficient computing power.
Models and Features
Designed for poor environments without Internet Data Centers, such as offices and factories
Access to enterprise-level AI modeling once connecting to power and Internet
Support high-performance ML scenarios
Support perceptual deep learning scenarios
Designed for various deployment scenarios
Access enterprise-level AI service environments once connecting to power and Internet
Serve as an infrastructure for building high-performance computing platform
Risk management and anti-fraud