This topic describes the features of two Super Computing Cluster (SCC) instance type families: scch5 and sccg5. The instance type family scch5 features high clock speed while sccg5 is for general use scenarios. Their specific instance types are also provided.

Overview

SCCs are based on ECS Bare Metal (EBM) Instances. Given the high-speed interconnects of Remote Direct Memory Access (RDMA) technology, SCCs greatly improve network performance and the acceleration ratio of large-scale clusters. Therefore, SCCs have all the benefits of EBM Instances and offer high-quality network performance featuring high bandwidth and low latency. 

SCCs are intended for high performance computing. In the clusters, nodes are connected by RDMA networks featuring high bandwidth and low latency, which guarantee the parallel efficiency demanded by applications that require high-performance computing. The RDMA over Convergent Ethernet (RoCE) rivals an Infiniband network in terms of connection speed and supports more extensive Ethernet-based applications. The combination of SCCs and other Alibaba Cloud computing products such as ECS and GPU instances provides the Alibaba Cloud elastic high-performance computing (E-HPC) platform with the ultimate high performance parallel computing resources, making supercomputing on the cloud a reality. 

SCCs are released by Alibaba Cloud to meet the demands of applications such as high performance computing, artificial intelligence, machine learning, scientific or engineering computing, data analysis, and audio and video processing.

Comparison of SCCs to physical and virtual servers

The following table compares SCC, physical servers, and virtual servers.

Metric Feature  SCC Physical server Virtual server
Automated O&M Delivery in minutes Yes No Yes
Computing Zero performance loss Yes Yes No
Zero feature loss Yes Yes No
Zero resource competition Yes Yes No
Storage Fully compatible with ECS cloud disks Yes No Yes
Start from cloud disks (system disks) Yes No Yes
System disk can be quickly reset Yes No Yes
Uses ECS images Yes No Yes
Supports cold migration between physical and virtual servers Yes No Yes
Requires no installation of operating system Yes No Yes
Discards local RAID, and provides stronger protection of data on cloud disks Yes No Yes
Network  Fully compatible with ECS VPCs Yes No Yes
Fully compatible with the ECS classic network Yes No Yes
Free of bottlenecks for communications between physical and virtual server clusters in a VPC Yes No Yes
Management  Fully compatible with the existing ECS management system Yes No Yes
Consistent user experience with virtual servers regarding VNC and other features Yes No Yes
Guaranteed out of band network security Yes No No

scch5, Super Computing Cluster (SCC) instance type family with high clock speed

Features

  • I/O-optimized
  • Supports SSD Cloud Disks and Ultra Disks
  • Supports both RoCE and VPC networks, of which RoCE is dedicated to RDMA communication
  • With all features of ECS Bare Metal Instance
  • 3.1 GHz Intel Xeon Gold 6149 (Skylake) processors
  • Equipped with a vCPU to memory ratio of 1:3
  • Suitable for the following scenarios:
    • Large-scale machine learning applications
    • Large-scale high-performance scientific and engineering applications
    • Large-scale data analysis, batch computing, video encoding

Instance types

Instance type  vCPU Memory (GiB)  GPU Bandwidth (Gbit/s)**  Packet forwarding rate (Thousand pps)*** RoCE (Inbound/Outbound) (Gbit/s)  NIC queues**** ENIs*****
ecs.scch5.16xlarge 64 192.0 N/A 10.0 4,500 46 8 32
Note For more information about SCC, see ECS Bare Metal Instance and Super Computing Clusters.

See other instance type families.

sccg5, geneneral-purpose Super Computing Cluster (SCC) instance type family

Features

  • I/O-optimized
  • Supports SSD Cloud Disks and Ultra Disks
  • Supports both RoCE and VPC networks, of which RoCE is dedicated to RDMA communication
  • With all features of ECS Bare Metal Instance
  • Equipped with 2.5 GHz Intel Xeon Platinum 8163 (Skylake) processors
  • Equipped with a vCPU to memory ratio of 1:4
  • Suitable for the following scenarios:
    • Large-scale machine learning applications
    • Large-scale high-performance scientific and engineering applications
    • Large-scale data analysis, batch computing, video encoding

Instance types

Instance type  vCPU Memory (GiB)  GPU Bandwidth (Gbit/s)**  Packet forwarding rate (Thousand pps)*** RoCE (Inbound/Outbound) (Gbit/s)  NIC queues**** ENIs*****
ecs.sccg5.24xlarge 96 384.0 N/A 10.0 4,500 46 8 32
Note For more information about SCC, see ECS Bare Metal Instance and Super Computing Clusters.

See other instance type families.

Billing methods

SCC instances support the Subscription billing method. For more information about billing methods, see Billing method comparison.

Related documents

For more information, see SCC FAQ.