Beijing Sinnet, Beijing Sinnet Technology , Sinnet，SINNET

High-Performance Intelligent Computing Services

Leveraging high-level data center resources, Sinnet has deployed world-leading computing hardware, backed by years of cloud service experience and technical expertise. We have built a highly elastic and diverse heterogeneous computing scheduling platform and launched high-performance computing services. Our platform offers customers across various industries a full-cycle, high-standard, and diversified set of comprehensive, customized services, ranging from basic computing power resources to computing power platform support and operation and maintenance management.

Green Computing Power

We utilize a variety of low-carbon, energy-saving technologies, including green electricity and photovoltaics, to promote the sustainable development of computing resources.

Intelligent Computing Power

By deploying diverse computing power and storage resources, we provide a complete computing power solution, covering everything from training to inference.

Shared Computing Power

Our visual computing power scheduling platform supports multi-modal and varying levels of computing power requirements, facilitating computing power pooling and enabling resource sharing.

High-Level Intelligent Computing Center

Sinnet has built a high-level intelligent computing center, using its existing data centers as the foundation for computing power. The Sinnet Beijing Intelligent Computing Center offers convenient transportation, comprehensive supporting facilities, and self-owned property, with market-leading high-performance computing servers deployed. It provides one-stop services, from training to reasoning, for industries transitioning to artificial intelligence, offering customized, full-cycle intelligent computing solutions for scenarios such as large model training, deep learning, and high-performance computing.

Safe and Stable
Self-built data centers adhere to national Class A data center standards, ensuring highly reliable redundant power supply
Abundant IP address resources and highly redundant network resources are deployed, along with backbone network nodes
Efficient Leadership
The computing power platform features multi-type, high-performance computing resources from leading international brands
It supports various computing resources, such as CPU and GPU, to meet customers' diverse requirements across different scenarios

Multi-Dimensional Heterogeneous Computing Power Integrated Scheduling Platform

The Sinnet Computing Platform supports multiple deep learning frameworks, including DeepSpeed, Pytorch, TensorFlow, and Caffe2, and is fully compatible with a wide range of GPUs from both domestic and international brands. The platform is highly integrated and intelligent, helping customers effectively allocate and manage different types of computing power to meet the needs of various AI tasks.

Platform Features

Compatibility: The platform supports multiple heterogeneous computing resources, including GPU, CPU, FPGA, and more, giving users flexibility in selecting and efficiently using the resources that best suit their needs

Intelligent Scheduling and Management: The platform features an intelligent scheduling algorithm and management system, supporting bare metal and multi-container scheduling and management. The system's stability has been thoroughly validated in large-scale intelligent computing clusters within the industry

Elastic Scaling: The platform allows users to elastically scale computing resources, automatically expanding or shrinking resources based on changing needs and business growth.

Platform Capabilities

Ease of Use: The platform's algorithms are simple to use, providing users with a wide range of functions and permissions. It also offers extensive APIs and development tools for users to customize and extend the platform.

Security and Reliability: The platform adheres to strict security and privacy protection standards to safeguard user data and computing resources. In addition, it includes monitoring and fault diagnosis mechanisms to ensure platform reliability and minimize potential failures or disruptions.

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