Specifications

ECS bare metal instances and Super Computing Cluster (SCC) instances

The following instances have no performance loss in virtualization and can be isolated by VPCs. You can have direct access to hardware resources. SCC instances provide a low-latency network that is based on Remote Direct Memory Access (RDMA). The network meets the parallel computing requirements of E-HPC clusters.

• SCC instances

  Instance type	Instance specification	Computing configuration	Network configurations	Storage configuration	Scenario
  High clock speed + low-latency network	ecs.scchfg6.20xlarge	CPU: Uses 3.1 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) vCPU: 80 Memory: 384 GiB GPU: none	Ethernet: 30 Gbit/s RDMA: 50 Gbit/s	Ultra disk Enhanced SSD Standard SSD	This instance type is suitable for scenarios that require high clock speed and parallel computing on multiple clusters. These scenarios include manufacturing simulation, life science, and weather forecast.
  	ecs.scch5s.16xlarge	CPU: Uses 3.1 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) vCPU: 64 Memory: 192 GiB GPU: none	Ethernet: 30 Gbit/s RDMA: 50 Gbit/s	Ultra disk Enhanced SSD Standard SSD
  	ecs.scch5.16xlarge	CPU: Uses 3.1 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) vCPU:64 Memory: 192 GiB GPU: none	Ethernet: 10 Gbit/s RDMA: 50 Gbit/s	Ultra disk Standard SSD	This instance type is suitable for scenarios that require high clock speed and parallel computing on multiple clusters. These scenarios include manufacturing simulation, life science, and weather forecast. Enhanced SSDs (ESSDs) are not supported. If you require high-speed storage in local disks, we recommend that you use scchfg6 or scch5s.
  General-purpose + low-latency network	ecs.sccg5.24xlarge	CPU: Uses 2.5 GHz Intel ® Xeon ® Gold 6149 (Skylake) vCPU: 96 Memory: 384 GiB GPU: none	Ethernet: 10 Gbit/s RDMA: 50 Gbit/s	Ultra disk Standard SSD	This instance type is suitable for scenarios that require parallel computing on multiple clusters, such as manufacturing simulations. ESSD is not supported. For high-speed local hard disk storage, we recommend that you use scchfg6 or scch5s.
  GPU type + low-latency network	ecs.sccgn6.24xlarge	CPU: Uses 2.5 GHz Intel ® Xeon ® Gold 6149 (Skylake) vCPU: 96 Memory: 384 GiB GPU: 8 * Nvidia Tesla V100	Ethernet: 30 Gbit/s RDMA: 50 Gbit/s	Ultra disk Enhanced SSD Standard SSD	This instance type is suitable for scenarios that require parallel computing on one or more clusters. These scenarios include machine learning and large-scale molecular dynamics.

• ECS bare metal instance

  Instance type	Instance specification	Computing configuration	Network configurations	Storage configuration	Scenario
  High clock speed	ecs.ebmhfc6.20xlarge	CPU: Uses 3.1 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) vCPU:80 Memory: 384 GiB GPU: none	Ethernet: 30 Gbit/s	Ultra disk Standard SSD	This instance type is suitable for scenarios that require high-performance computing on one cluster.
  High clock speed + large memory	ecs.ebmhfr6.20xlarge	CPU: Uses 3.1 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) vCPU: 80 Memory: 768 GiB GPU: none	Ethernet: 30 Gbit/s	Ultra disk Standard SSD	This instance type is suitable for scenarios that require high-performance computing on one cluster.
  General-purpose	ecs.ebmg6.26xlarge	CPU: Uses 2.5 GHz Intel ® Xeon ® Gold 6149 (Skylake) vCPU:104 Memory: 384 GiB GPU: none	Ethernet: 30 Gbit/s	Ultra disk Enhanced SSD Standard SSD	This instance type is suitable for computing scenarios in life science. These scenarios include bioinformatics, dynamic simulation, and drug development.
  General-purpose + large memory	ecs.ebmr6.26xlarge	2.5 vCPU: 104 Memory: 768 GiB GPU: none	Ethernet: 30 Gbit/s	Ultra disk Enhanced SSD Standard SSD	This instance type is suitable for scenarios such as electronic design automation and life science.
  GPU Type	ecs.ebmgn6v.24xlarge	CPU: Uses 2.5 GHz Intel ® Xeon ® Gold 6149 (Skylake) vCPU: 96 Memory: 384 GiB GPU: 8 * Nvidia Tesla V100	Ethernet: 30 Gbit/s RDMA: 50 Gbit/s	Ultra disk Enhanced SSD Standard SSD	This instance type is suitable for scenarios that require GPU computing, such as machine learning.

Enterprise-class computing instance families based on the x86 architecture and enterprise-class heterogeneous computing instance families

The following instances have performance loss in virtualization. You can select an instance type that applies to your scenario.