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ecs.i2.4xlarge by Alibaba Cloud

ecs.i2.4xlarge is a ecs.i2 family (16 vCPUs, 128 GiB RAM, 3839 GB ssd storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 3.84 TB of storage. The pricing starts at 0.1066 USD per hour.
16 vCPU
128 GiB Memory
3.84 TB Storage
Spare SCore
11744
(All-cores)
1105
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.4xlarge
Description
ecs.i2 family (16 vCPUs, 128 GiB RAM, 3839 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-07-26T16:46:52.978942

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.0489 USD/h
Hohhot (CN) / cn-huhehaote
0.13115 USD/h 1.0494 USD/h
Chengdu (CN) / cn-chengdu
- 1.0494 USD/h
Hangzhou (CN) / cn-hangzhou
0.163167 USD/h 1.1655 USD/h
Guangzhou (CN) / cn-guangzhou
0.1632 USD/h 1.1655 USD/h
Qingdao (CN) / cn-qingdao
0.1632 USD/h 1.1655 USD/h
Shanghai (CN) / cn-shanghai
0.1632 USD/h 1.1655 USD/h
Beijing (CN) / cn-beijing
- 1.1655 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.1655 USD/h
Heyuan (CN) / cn-heyuan
- 1.166 USD/h
Virginia (US) / us-east-1
0.12435 USD/h 1.184 USD/h
Silicon Valley (US) / us-west-1
0.163 USD/h 1.304 USD/h
London (GB) / eu-west-1
0.168 USD/h 1.4 USD/h
Frankfurt (DE) / eu-central-1
0.1982 USD/h 1.416 USD/h
Hong Kong (HK) / cn-hongkong
0.1424 USD/h 1.424 USD/h
Jakarta (ID) / ap-southeast-5
0.1566 USD/h 1.424 USD/h
Singapore (SG) / ap-southeast-1
0.1994 USD/h 1.424 USD/h
Dubai (AE) / me-east-1
0.2544 USD/h 1.696 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.6
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    3839 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Network Speed Baseline
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86 server combining 128 GB RAM with a 3839 GB local SSD for storage-intensive multi-threaded workloads.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i2.4xlarge is an x86_64 server within the ecs.i2 family, equipped with 16 dedicated Intel Xeon 8163 physical cores running at 2.5 GHz, 128.0 GB of RAM, and a bundled 3839 GB local SSD. It operates on a KVM hypervisor with a baseline network bandwidth of 3 Gbps. Benchmark data reveals a performance tradeoff: single-core CPU execution and single-threaded compression are weak, ranking in the bottom 10% to 25%, whereas multi-core performance, memory bandwidth, and database operations consistently reach average tiers. This resource profile provides qualitative cost efficiency for storage-heavy deployments by combining high local SSD capacity with dedicated compute. It is suited for database operations, Redis caching, static web serving, and multi-threaded workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.584Score
      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) 959,091 ops/sec 1,896,415 ops/sec 0.506 50.00% 50.00% -28.90%
      Redis RPS (pipeline=16, SET) 6,979,196 ops/sec 11,539,523 ops/sec 0.605 20.00% 20.00% -9.56%
      PassMark Memory Mark (composite) 1,776 2,411 0.737 10.00% 10.00% -3.01%
      Memory bandwidth (read, 16 MB ~ L3) 77,419 MB/sec 107,368 MB/sec 0.721 10.00% 10.00% -3.22%
      PassMark single-thread CPU 1,686 Mops/s 2,363 Mops/s 0.713 10.00% 10.00% -3.33%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 929

      Geekbench Multi-Core

      Score: 5,886

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      12957
      Compression
      181514
      Encryption
      5459
      Extended Instructions
      11969
      Floating Point Maths
      21127
      Integer Maths
      39440
      Physics
      1252
      Prime Numbers
      65
      Single Threaded
      1686
      String Sorting
      23832

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1776
      Database Operations
      4365
      Memory Latency
      78
      Memory Read Cached
      19351
      Memory Read Uncached
      6282
      Memory Write
      6896

      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.xlarge 432 GiB0
      ecs.i2.2xlarge 864 GiB0
      ecs.i2.8xlarge 32256 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.4xlarge FAQs