重磅！初灵股份边缘AI系列·边缘算力调度平台正式发布

Edge Computing Scheduling Platform

Product Launch

Amidst the rapid acceleration of global digital transformation, countries are increasing their investments in computing infrastructure.Edge Computinghas been rapidly adopted across various industries. Especially in5G, IoT, AI, and AIGCDriven by emerging technologies, edge computing capacity is showing strong growth. However, whether enterprises build private edge nodes or lease capacity from operators, they face high usage costs, insufficient compute scheduling and management, and a shortage of skilled talent. There is an urgent market need for a plug-and-play edge computing scheduling product.

Chuling Shares launches edge "Computing-Network Integrated Appliance"after, launched commercially "Edge Compute Scheduling and ManagementSoftware ProductEmpowering edge computing infrastructure for large and medium enterprisesChuling Shares continues to focus on building core edge computing capabilities.

Product Launch

01 Edge Computing Scheduling Platform Overview <<<<

After launching its edge AI computing gateway, Chuleng Shares has partnered with telecom operators to introduce a newEdge Computing Scheduling Platform Solution.This platform helps enterprises overcome key challenges in intelligent transformation by providing robust computing power and network infrastructure. It effectively reduces computing costs and meets data processing needs at the edge. The platform includes a variety of pre-trained large models, such asNatural Language Processing Models and Computer Vision Modelsand provide enterprises with advanced data analysis and processing capabilities.

This platform is designed for industries requiring extensive edge data processing, such asTelecommunications, Manufacturing, Retail, and Healthcare, especially for enterprises that require real-time data analysis and rapid response to customer needs. By deploying compute scheduling closer to the data source, the platform significantly improves data processing speed, efficiency, and utilization. Its key features includeCompute Power Efficiency, Compute Scheduling, Multi-Domain Heterogeneity, Cluster Management, Inference Deployment, Cross-Database Domain Connectivity, Cloud-Edge Collaborative Computing, Intelligent Compute Operationsand create greater value for enterprises.

The ideal solution for intelligent O&M of 02 computing power scheduling<<<<

This newly released edge computing scheduling platform not only delivers high performance in resource scheduling but also serves as an ideal intelligent operations and maintenance solution. The platform integratesCloud computing, edge computing, and terminal device resourcesUnified monitoring and management through a single control platform. Enterprises can monitor devices, respond to and resolve faults, and manage alerts to ensure efficient allocation and stable operation of computing resources.

The platform leverages advanced intelligent scheduling algorithms to dynamically allocate resources based on real-time load and network conditions, optimizing network traffic and computational workloads. This flexible resource management not only improves operational efficiency but also reduces enterprise costs. For industries handling massive volumes of real-time data—such as industrial IoT, smart cities, and remote healthcare—the edge computing scheduling platform delivers a high-performance, reliable operations solution, ensuring intelligent applications run smoothly in edge environments.

03 Product Benefits and Features

(1) Flexible and efficient compute schedulingThe platform intelligently allocates computing resources—such as CPU, memory, GPU, and disk—dynamically across edge devices to ensure timely and efficient data processing. By leveraging scheduling algorithms like load balancing and resource prediction, it reduces cloud workload through edge computing, enhancing overall system efficiency.

(2) Multi-Modal AI CapabilitiesThe platform offers a range of built-in pre-trained large models—including natural language processing, image recognition, and speech processing—that enable enterprises to deploy and use them with a single click. These models support diverse AI use cases such as intelligent customer service, text analysis, image classification, and speech recognition. By integrating these advanced capabilities, businesses can easily perform intelligent analysis on complex data, accelerate digital transformation, and reduce development and operational costs.

(3) Low-cost, high valueCompared to traditional data center solutions, it significantly reduces enterprises' computing costs. By processing data closer to the source, it minimizes reliance on remote cloud computing and lowers bandwidth expenses.

(4) Easy to integrate and manageProvides an all-in-one platform to easily manage and monitor edge computing nodes, streamline operations, support diverse application scenarios, and enable large-scale deployment.

(5) Secure & ReliableThe platform uses advanced encryption to secure data during transmission and storage, meeting industry-specific data protection standards. We also commit to strict privacy measures to build customer confidence in data security.

(6) Professional Operations Support: Provides professional technical support and managed operations services to help enterprises tackle complex technical challenges.

(7) Network Optimization and Heterogeneous GPU SchedulingOptimize network traffic management to reduce unnecessary data transmission, support collaborative scheduling across multiple GPUs, and improve parallel processing capabilities and GPU utilization.

04 Use Cases<<<<

(1) AI FinanceLeverage AIGC models to rapidly analyze large volumes of transaction data, identify potential risks and fraud, and ensure transaction security.

(2) AI HealthcareIn medical imaging diagnostics, the platform supports a large-scale medical image analysis model that uses deep learning and neural networks to automatically analyze CT, MRI, and X-ray images, accurately identify lesion areas, and improve diagnostic accuracy and efficiency.

(3) AI LogisticsEnable intelligent warehousing, transportation, and scheduling; track shipments in real time to enhance logistics visibility and on-time delivery rates.

(4) AI TrafficSupport auxiliary track inspections, optimize traffic signal control, reduce congestion, and provide real-time decision support for autonomous driving.

(5) AI EducationEnhance teaching effectiveness, optimize resource allocation, and deliver personalized learning experiences through intelligent tutoring systems and virtual teaching assistants.

(6) AI AgricultureLeverage AI to analyze soil, climate, and other factors, providing farmers with planting recommendations to boost crop yields.

Conclusion

Chuling Shares maintains high-intensity R&D investment and innovation, focusing on delivering three core edge computing capabilities: intelligent connectivity, data sensing, and edge AI applications. The newly launched Edge Computing Resource Scheduling Platform further strengthens the company's leading position in edge computing and enterprise intelligence. Moving forward, Chuling will continue to launch innovative solutions aligned with the intelligent application needs of enterprises and industries, providing customers with exceptional service and support.