ecs.i2.xlarge by Alibaba Cloud

ecs.i2.xlarge is a ecs.i2 family (4 vCPUs, 32 GiB RAM, 959 GB ssd storage) server offered by Alibaba Cloud with 4 vCPUs, 32 GiB of memory and 959 GB of storage. The pricing starts at 0.0262 USD per hour.
4 vCPU
32 GiB Memory
959 GB Storage
Spare SCore
2,922
(All-cores)
1,102
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.xlarge
Description
ecs.i2 family (4 vCPUs, 32 GiB RAM, 959 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-09-15T17:28:03.342049

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.2619 USD/h
Chengdu (CN) / cn-chengdu
- 0.2631 USD/h
Beijing (CN) / cn-beijing
0.0262 USD/h 0.291 USD/h
Shenzhen (CN) / cn-shenzhen
0.0349 USD/h 0.291 USD/h
Hangzhou (CN) / cn-hangzhou
0.0407 USD/h 0.291 USD/h
Heyuan (CN) / cn-heyuan
0.0407 USD/h 0.291 USD/h
Qingdao (CN) / cn-qingdao
0.0407 USD/h 0.291 USD/h
Shanghai (CN) / cn-shanghai
0.0495 USD/h 0.291 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.291 USD/h
Virginia (US) / us-east-1
0.034 USD/h 0.296 USD/h
Silicon Valley (US) / us-west-1
0.0554 USD/h 0.326 USD/h
London (GB) / eu-west-1
0.049 USD/h 0.35 USD/h
Frankfurt (DE) / eu-central-1
0.0425 USD/h 0.354 USD/h
Jakarta (ID) / ap-southeast-5
0.04805 USD/h 0.356 USD/h
Singapore (SG) / ap-southeast-1
0.0534 USD/h 0.356 USD/h
Hong Kong (HK) / cn-hongkong
0.0534 USD/h 0.356 USD/h
Dubai (AE) / me-east-1
0.0721 USD/h 0.424 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
2.7
Scalability
67.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    959 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Network Speed Baseline
      1 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 server combining 32 GB of RAM and a 959 GB local SSD for storage-focused, moderate-compute workloads.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.i2.xlarge is an x86_64 server instance featuring 4 dedicated Intel Xeon 8163 vCPUs clocked at 2.5 GHz, 32.0 GB of memory, and a bundled 959 GB local SSD. Operating on the KVM hypervisor, it provides a baseline network bandwidth of 1 Gbps. Performance benchmarks indicate significant processing and memory constraints, with Geekbench single-core and multi-core scores falling in the bottom 10%. Memory bandwidth for large uncached blocks is also limited, registering at 19.71 GB/sec. While the instance offers a favorable ratio of local storage and memory relative to its vCPU count, its overall compute and database performance is weak. It is best suited for lightweight database hosting, local caching, and general-purpose workloads that require local SSD storage but do not demand high CPU or memory throughput.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.19Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 237,507 ops/sec 1,917,397 ops/sec 0.124 50.00% 50.00% -64.80%
      Redis RPS (pipeline=16, SET) 1,661,013 ops/sec 11,681,410 ops/sec 0.142 20.00% 20.00% -32.30%
      PassMark Memory Mark (composite) 1,480 2,418 0.612 10.00% 10.00% -4.79%
      Memory bandwidth (read, 16 MB ~ L3) 25,696 MB/sec 108,140 MB/sec 0.238 10.00% 10.00% -13.40%
      PassMark single-thread CPU 1,673 Mops/s 2,365 Mops/s 0.707 10.00% 10.00% -3.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 934

      Geekbench Multi-Core

      Score: 2,030

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3594
      Compression
      		 45264
      Encryption
      		 1356
      Extended Instructions
      		 2887
      Floating Point Maths
      		 5250
      Integer Maths
      		 9750
      Physics
      		 434
      Prime Numbers
      		 24
      Single Threaded
      		 1673
      String Sorting
      		 6054

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1480
      Database Operations
      		 1084
      Memory Latency
      		 80
      Memory Read Cached
      		 19252
      Memory Read Uncached
      		 6105
      Memory Write
      		 6656

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.i2.2xlarge 864 GiB0
      ecs.i2.4xlarge 16128 GiB0
      ecs.i2.8xlarge 32256 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.xlarge FAQs