The unveiling of the DeepSeek open-source model heralds a monumental leap in the construction and application of artificial intelligence, presenting the operating system with formidable challenges in supporting the cloud deployment of DeepSeek. Serving as a pivotal bridge between hardware and software, the Kylin Advanced Server Operating System V10 overcomes these hurdles, fully embraces the cloud deployment of DeepSeek, and ushers in a new epoch of intelligent computing.

Module Composition Architecture of Kylin Advanced Server Operating System V10

Performance Advantages

Enhancing Resource Utilization

Leveraging its independent technical prowess in the kernel and components, Kylin Software offers seamless support for mainstream CPU platforms across five architectures: ARM, X86, LoongArch, MIPS, and SW-64. Its high availability feature enables intelligent scheduling and allocation of resources like CPUs, GPUs, and memory through deep integration with DeepSeek and the operating system's resource management module. This maximizes resource utilization and minimizes computing costs.

Robust Security, Reliability, and Stability

The Kylin Advanced Server Operating System V10 adheres to standards such as GB/T 20272-2019 Operating System Security Technical Requirements, CGL 5.0 (the International Linux Foundation's telecom carrier-grade standard, achieving a "five nines" high availability standard), supports national cryptographic algorithms, and offers independent trusted computing. It serves as a sturdy foundation for application servers, database servers, virtual machine GuestOS, and operating system data center construction. It provides multi-layered security protection to safeguard DeepSeek models and data, thwart malicious attacks and data breaches, and meets the essential features and technical benchmarks for DeepSeek applications.

Streamlining Development and Deployment

It offers user-friendly development interfaces and toolchains, simplifying the development and deployment processes of DeepSeek applications, thereby lowering the entry barrier for developers.

Accelerating Model Training and Inference

By optimizing the operating system kernel and drivers tailored to the computational characteristics of DeepSeek, it fully harnesses hardware performance, reducing model training and inference times, and enhancing development efficiency.

Key Technologies

Efficient Resource Scheduling

Research on resource prediction and scheduling algorithms leveraging deep learning to achieve dynamic resource allocation and elastic scaling, catering to the diverse computational resource needs of DeepSeek applications.

Heterogeneous Computing Support

Optimizes the operating system's support for heterogeneous computing devices like CPUs, GPUs, and FPGAs, offering a unified programming interface and runtime environment to streamline the development of DeepSeek applications.

Secure and Trusted Execution Environment

Constructs a security mechanism grounded in the hardware Trusted Execution Environment (TEE) to ensure the confidentiality, integrity, and availability of DeepSeek models and data.

Containerized Deployment

Employs container technology to enable swift deployment and migration of DeepSeek applications, bolstering application portability and scalability. It seamlessly integrates with mainstream AI runtime frameworks like PyTorch and TensorFlow, offers a container image repository, and delivers an out-of-the-box AI deployment experience.

Multiple Approaches

Resource Management

Elastic Scaling: Dynamically adjusts computing, storage, and network resources based on demand.

Resource Scheduling: Optimizes resource allocation to ensure efficient task execution.

High Availability

Fault Recovery: Automatically detects and recovers from faults, minimizing downtime.

Load Balancing: Distributes traffic to avert single points of failure.

Security

Data Encryption: Protects data during transmission and storage.

Access Control: Ensures system security through identity verification and permission management.

Monitoring and Operations

Real-time Monitoring: Provides real-time data on resource usage and performance.

Automated Operations: Automatically executes tasks such as patch updates and backups.

Network Support

High-Speed Network: Offers low-latency, high-bandwidth network connections.

Virtual Network: Supports custom network configurations to meet diverse needs.

Storage Support

Distributed Storage: Provides highly reliable and scalable storage solutions.

Data Backup: Conducts regular backups to ensure data security.

Containers and Virtualization

Container Support: Supports Docker, Kubernetes, etc., simplifying application deployment.

Virtualization Technology: Provides virtual machines to support multi-tenant environments.

API and Integration

Open API: Facilitates integration with other systems.

DevOps Toolchain: Supports CI/CD to enhance development and deployment efficiency.

Cost Optimization

Pay-as-You-Go: Bills based on actual usage to reduce costs.

Resource Optimization: Offers optimization suggestions to minimize waste.

It is evident that the Kylin Advanced Server Operating System V10, with its comprehensive cloud deployment capabilities, can support numerous renowned domestic cloud vendors in providing cloud support and efficient utilization of the DeepSeek model. By refining joint solutions, it fully leverages the respective product strengths in practical applications within hardware and cloud environments. This ensures the secure, reliable, and efficient operation of DeepSeek in the cloud, comprehensively satisfying the diverse AI application requirements of enterprises.