ecs.i2ne.8xlarge by Alibaba Cloud

ecs.i2ne.8xlarge is a ecs.i2ne 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 0.2611 USD per hour.
32 vCPU
256 GiB Memory
7.68 TB Storage
Spare SCore
23,463
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2ne.8xlarge
Description
ecs.i2ne family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage)
Family
ecs.i2ne
Hw Virt
Status
active
Observed At
2026-09-10T00:31:51.817045

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.28285 USD/h 2.176 USD/h
Ulanqab (CN) / cn-wulanchabu
- 2.2032 USD/h
Qingdao (CN) / cn-qingdao
0.2693 USD/h 2.448 USD/h
Guangzhou (CN) / cn-guangzhou
0.3427 USD/h 2.448 USD/h
Beijing (CN) / cn-beijing
- 2.448 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.448 USD/h
Shanghai (CN) / cn-shanghai
- 2.448 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.448 USD/h
Hong Kong (HK) / cn-hongkong
0.338 USD/h 2.6 USD/h
London (GB) / eu-west-1
0.401 USD/h 2.864 USD/h
Singapore (SG) / ap-southeast-1
- 2.99 USD/h
Riyadh (SA) / me-central-1
- 3.588 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
      10 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 for data-intensive and database workloads.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i2ne.8xlarge is an x86_64 server instance configured with 32 dedicated Intel Xeon 8163 cores running at 2.5 GHz, 256.0 GB of RAM, and 7679 GB of local SSD storage. Operating on the KVM hypervisor, it delivers a baseline network bandwidth of 10 Gbps. Performance benchmarks reveal a contrast between weak single-core capabilities, which rank in the bottom 25%, and average multi-core performance, which falls in the middle 50% across PassMark and Geekbench tests. Memory bandwidth is average, though the overall memory score is relatively weak. This hardware profile presents a tradeoff of high-capacity local storage and memory against moderate CPU speeds. It is designed for storage-heavy and memory-intensive workloads, such as database operations, Redis caching, and static web serving, where local storage density and multi-threaded capacity are prioritized over raw single-core compute performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.92Score
      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) 1,866,182 ops/sec 1,917,397 ops/sec 0.973 50.00% 50.00% -1.36%
      Redis RPS (pipeline=16, SET) 13,299,181 ops/sec 11,681,410 ops/sec 1.14 20.00% 20.00% +2.66%
      PassMark Memory Mark (composite) 1,753 2,418 0.725 10.00% 10.00% -3.16%
      Memory bandwidth (read, 16 MB ~ L3) 80,520 MB/sec 108,140 MB/sec 0.745 10.00% 10.00% -2.90%
      PassMark single-thread CPU 1,681 Mops/s 2,365 Mops/s 0.711 10.00% 10.00% -3.35%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 946

      Geekbench Multi-Core

      Score: 8,432

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23134
      Compression
      		 373014
      Encryption
      		 10849
      Extended Instructions
      		 23780
      Floating Point Maths
      		 42159
      Integer Maths
      		 78430
      Physics
      		 2190
      Prime Numbers
      		 106
      Single Threaded
      		 1681
      String Sorting
      		 48202

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1753
      Database Operations
      		 8530
      Memory Latency
      		 83
      Memory Read Cached
      		 19320
      Memory Read Uncached
      		 6248
      Memory Write
      		 6646

      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.i2ne.xlarge 432 GiB0
      ecs.i2ne.2xlarge 864 GiB0
      ecs.i2ne.4xlarge 16128 GiB0
      ecs.i2ne.16xlarge 64512 GiB0
      ecs.i2ne.20xlarge 80704 GiB0

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      ecs.i2ne.8xlarge FAQs