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ecs.i2.8xlarge by Alibaba Cloud

ecs.i2.8xlarge is a ecs.i2 family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 7.68 TB of storage. The pricing starts at 0.2519 USD per hour.
32 vCPU
256 GiB Memory
7.68 TB Storage
Spare SCore
23554
(All-cores)
1110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.8xlarge
Description
ecs.i2 family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-07-21T22:06:55.405414

Availability

REGION / IDSPOTONDEMAND
Hohhot (CN) / cn-huhehaote
0.27285 USD/h 2.0988 USD/h
Chengdu (CN) / cn-chengdu
0.2938 USD/h 2.0988 USD/h
Ulanqab (CN) / cn-wulanchabu
- 2.0992 USD/h
Heyuan (CN) / cn-heyuan
0.3265 USD/h 2.332 USD/h
Beijing (CN) / cn-beijing
0.2566 USD/h 2.3325 USD/h
Qingdao (CN) / cn-qingdao
0.2566 USD/h 2.3325 USD/h
Guangzhou (CN) / cn-guangzhou
0.3265 USD/h 2.3325 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.3325 USD/h
Shanghai (CN) / cn-shanghai
- 2.3325 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.3325 USD/h
Virginia (US) / us-east-1
0.2842 USD/h 2.368 USD/h
Silicon Valley (US) / us-west-1
0.313 USD/h 2.608 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.3786 USD/h 2.704 USD/h
London (GB) / eu-west-1
0.434 USD/h 2.8 USD/h
Hong Kong (HK) / cn-hongkong
0.2563 USD/h 2.848 USD/h
Singapore (SG) / ap-southeast-1
- 2.848 USD/h
Jakarta (ID) / ap-southeast-5
- 2.848 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.2
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    7679 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Network Speed Baseline
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated multi-core server featuring high-capacity local SSD storage and balanced memory allocation for data-intensive and database workloads.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i2.8xlarge is an x86_64 server featuring 32 dedicated Intel Xeon 8163 cores running at 2.5 GHz, paired with 256.0 GB of RAM and 7679 GB of local SSD storage. Operating on a KVM hypervisor with a 6 Gbps baseline network bandwidth, this instance exhibits a clear performance tradeoff. While single-core benchmarks, including Geekbench and single-threaded gzip compression, rank in the lower percentiles, its multi-core capabilities and memory bandwidth consistently achieve average tier results. The high-capacity local SSD storage combined with a 1:8 vCPU-to-RAM ratio makes this server qualitatively cost-effective for storage-heavy and memory-intensive applications. It is best suited for database operations, Redis caching, and multi-threaded data processing workloads that benefit from large local storage volumes rather than high single-threaded CPU performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.93Score
      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) 1,870,546 ops/sec 1,896,415 ops/sec 0.986 50.00% 50.00% -0.70%
      Redis RPS (pipeline=16, SET) 13,202,693 ops/sec 11,539,523 ops/sec 1.14 20.00% 20.00% +2.66%
      PassMark Memory Mark (composite) 1,779 2,411 0.738 10.00% 10.00% -2.99%
      Memory bandwidth (read, 16 MB ~ L3) 80,059 MB/sec 107,368 MB/sec 0.746 10.00% 10.00% -2.89%
      PassMark single-thread CPU 1,692 Mops/s 2,363 Mops/s 0.716 10.00% 10.00% -3.29%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 955

      Geekbench Multi-Core

      Score: 8,454

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		23081
      Compression
      		362277
      Encryption
      		10893
      Extended Instructions
      		23797
      Floating Point Maths
      		42256
      Integer Maths
      		78794
      Physics
      		2178
      Prime Numbers
      		105
      Single Threaded
      		1692
      String Sorting
      		47507

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1779
      Database Operations
      		8535
      Memory Latency
      		81
      Memory Read Cached
      		19489
      Memory Read Uncached
      		6369
      Memory Write
      		6804

      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.i2.4xlarge 16128 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.8xlarge FAQs