Value Proposition

Safe Physical Isolation

Users have exclusive access to physical servers in a secure and reliable cloud environment, which meets the requirement of regulatory isolation.

No Performance Overhead

Provides ultra-high computing performance, with no performance overhead caused by virtualization, and can be equipped with high-performance SSDs and GPU expansion cards for customized configuration.

Fast Delivery

Free of IT rooms, network, hardware and other infrastructure and able to facilitate business by delivering a physical server in about 10 minutes at the soonest.

Multiple Product Types and Specifications

Users can make reasonable selection of resources such as operating systems, CPUs, memories and storage from a variety of product types and specifications according to their needs.

Use Cases

  • High-performance computing scenarios such as supercomputing centers and data analysis need to process a large amount of data, with strict requirements for the computing performance, stability and real-time performance of the server. The performance overhead caused by virtualization and hyper-threading have little impact on physical servers, which can meet the needs of high-performance computing.

  • Recommended to Use: Big Data Computing General Computing
  • Related Cloud Products: Elastic Compute Service Virtual Private Cloud

  • If the business of an enterprise involves deep learning, rendering, among others, it can choose heterogeneous GPU or FPGA computing architecture.

  • Recommended to Use: High-performance Computing
  • Related Cloud Products: Elastic Compute Service Virtual Private Cloud

  • Some important database services cannot be deployed on virtual machines and must be hosted on resource-exclusive, network-isolated, and high-performance physical servers. The BMS provides users with exclusive high-performance physical servers to meet the business requirements in this scenario.

  • Recommended to Use: Storage IO
  • Related Cloud Products: Elastic Compute Service Virtual Private Cloud

  • Industries such as finance and securities have strict requirements for business deployment compliance and some customers require high data security. Using physical servers for business deployment can ensure exclusive resources, data isolation, regulation and traceability.

  • Recommended to Use: General Computing High-performance Computing Storage IO Big Data Computing
  • Related Cloud Products: Elastic Compute Service Virtual Private Cloud Elastic Load Balancing

Success Stories

Functionality

Specifications and Pricing

Excl. network expenses, incl. authorization for the use of Windows Server standard version.

General Computing

Parameter

  • CPU
    24-core
  • Internal Memory
    384 GB
  • Local Storage
    8*600 GB SAS
  • GPU Card
    N/A
  • Network
    2*10 Gbps

Application scenarios

  • Application in medium-sized enterprises
  • Small and medium-sized database systems, which need certain memory cache and search clusters
  • Financial system, ERP system, etc

￥8,400／month

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High-performance Computing

Parameter

  • CPU
    24-core
  • Internal Memory
    384 GB
  • Local Storage
    2*960 GB SSD，6*4TB SATA
  • GPU Card
    2*V100
  • Network
    2*10 Gbps

Application scenarios

  • Deep learning, such as the training and inference applications of artificial intelligence algorithms including image classification, unmanned driving, and speech recognition
  • Scientific computing, such as computational fluid dynamics, computational finance, molecular dynamics, and environmental analysis
  • Video rendering, multimedia codec and other server-side GPU compute workloads

￥13,421／month

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Storage IO

Parameter

  • CPU
    24-core
  • Internal Memory
    384 GB
  • Local Storage
    6*960 GB SSD
  • GPU Card
    N/A
  • Network
    2*10 Gbps

Application scenarios

  • High-performance databases, NoSQL databases (such as MongoDB), and clustered databases
  • Online transaction processing (OLTP) systems, Elastic Search and other I/O intensive applications requiring low latency

￥11,500／month

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Big Data Computing

Parameter

  • CPU
    24-core
  • Internal Memory
    384 GB
  • Local Storage
    6*600 GB SAS,12*4 TB SATA
  • GPU Card
    N/A
  • Network
    2*10 Gbps

Application scenarios

  • Distributed computing such as Hadoop MapReduce/HDFS/Hive/HBase
  • Design of business scenarios such as Elasticsearch, log processing and large data warehouses
  • Customers in the Internet and financial industries, with requirements for big data computing and storage analysis, conduct mass data storage and computing

￥9,177／month

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Help and Documentation

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Purchasing Guide
Product Agreement

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