Leading AI Everywhere With Edge Computing 2.0
With the advent of the intelligent era, edge computing will become a core component of intelligent networks. smart devices, edge, and cloud collaborate to build an intelligent network that is omnipresent.
Based on a large-scale decentralized architecture, Edge Computing 2.0 integrates various heterogeneous computing resources, providing computing power supply, model deployment capabilities, and the ability to quickly integrate APIs/SDKs for application scenarios such as inference acceleration, model fine-tuning, and audio-video acceleration. This will accelerate the construction and innovation of AI applications.
Edge Computing 2.0 Architecture
Scaling
Native
acceleration
Management
Template
Deployment
Advantages
Ultimate Experience
Ultra - low latency and extremely high computing power; Out - of - the - box and one - click deployment; Elastic expansion, with rapidity and agility.
Extreme Security
Supports private model deployment, with data throughout the entire process visible only to users; Multi - level security protection mechanisms comprehensively enhance the data protection level.
Decentralization
Eliminate single - point failures to make the system more reliable; Process data locally for more efficient operations; By leveraging data encryption and fragmentation, data is distributed across multiple nodes, enhancing data security.
One - Stop Service
Provide full - life - cycle services for AI applications in vertical scenarios, covering data preparation, model fine - tuning, model evaluation, model deployment, and application integration.
Cost - Effective
Compared with large cloud companies, we can cut your cost investment by more than 50%. No longer let high costs hinder your innovation. With a more cost - effective solution, we help your business soar.
Green and Low - Carbon
You don't need to build additional large - scale AI infrastructure. By activating idle computing resources in society, we connect and collaborate with other device-edge-cloud to form a distributed intelligent computing architecture, reducing resource consumption.
