ecs.r9i.32xlarge by Alibaba Cloud

ecs.r9i.32xlarge is a ecs.r9i family (128 vCPUs, 1024 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 128 vCPUs, 1024 GiB of memory and 0 GB of storage.
128 vCPU
1024 GiB Memory
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r9i.32xlarge
Description
ecs.r9i family (128 vCPUs, 1024 GiB RAM, 0 GB storage)
Family
ecs.r9i
Hw Virt
-
Status
active
Observed At
2026-10-28T16:51:40.667639

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
128
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
6982P-C

System Resources and Accelerators

MEMORY
Memory Amount
1 TB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      36 Gbps
      Network Speed Max
      50 Gbps
      Network Storage Speed Baseline
      15 Gbps
      Network Storage Speed Max
      30 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-density memory-optimized instance featuring one hundred twenty-eight dedicated cores and one terabyte of RAM for demanding enterprise workloads.

      Memory OptimizedCompute Optimized

      Alibaba Cloud ecs.r9i.32xlarge is a memory-optimized virtual machine instance featuring 128 dedicated x86_64 vCPUs powered by Intel Xeon 6982P-C processors running at 3.2 GHz. It is configured with 1024.0 GB of RAM, establishing a high-density memory allocation of 8.0 GB per core. The instance operates on the KVM hypervisor and delivers a baseline network bandwidth of 36 Gbps. It does not include local storage or integrated GPUs, making it dependent on network-attached storage. The dedicated CPU allocation ensures consistent compute performance, while the high memory-to-vCPU ratio provides qualitative cost efficiency for memory-bound applications. This hardware profile is designed for memory-intensive workloads, such as large-scale in-memory databases, enterprise resource planning systems, and complex data analytics pipelines that require substantial memory capacity and parallel processing capabilities without local disk requirements.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.r9i.large 216 GiB0
      ecs.r9i.xlarge 432 GiB0
      ecs.r9i.2xlarge 864 GiB0
      ecs.r9i.3xlarge 1296 GiB0
      ecs.r9i.4xlarge 16128 GiB0
      ecs.r9i.6xlarge 24192 GiB0
      ecs.r9i.8xlarge 32256 GiB0

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      ecs.r9i.32xlarge FAQs