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ecs.i2g.4xlarge by Alibaba Cloud

ecs.i2g.4xlarge is a ecs.i2g family (16 vCPUs, 64 GiB RAM, 1919 GB ssd storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 1.92 TB of storage. The pricing starts at 0.5331 USD per hour.
16 vCPU
64 GiB Memory
1.92 TB Storage
Spare SCore
11765
(All-cores)
1108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2g.4xlarge
Description
ecs.i2g family (16 vCPUs, 64 GiB RAM, 1919 GB ssd storage)
Family
ecs.i2g
Hw Virt
Status
active
Observed At
2026-07-30T12:03:08.377152

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.848 USD/h
Chengdu (CN) / cn-chengdu
- 0.858 USD/h
Hohhot (CN) / cn-huhehaote
- 0.858 USD/h
Hangzhou (CN) / cn-hangzhou
0.59025 USD/h 0.952 USD/h
Beijing (CN) / cn-beijing
- 0.952 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.952 USD/h
Qingdao (CN) / cn-qingdao
- 0.952 USD/h
Shanghai (CN) / cn-shanghai
- 0.952 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.952 USD/h
Hong Kong (HK) / cn-hongkong
- 1.014 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
64 GiB
Memory Amount Actual
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1919 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 multi-core server featuring high-capacity local SSD storage and balanced memory for database and general-purpose workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.i2g.4xlarge is an x86_64 server featuring 16 dedicated Intel Xeon 8163 vCPUs operating at 2.5 GHz, paired with 64.0 GB of RAM and 1919 GB of local SSD storage. Running on the KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-RAM ratio and a 3 Gbps baseline network bandwidth. Benchmark data reveals weak single-core performance but average multi-core processing, memory bandwidth, and database execution capabilities. The integrated high-capacity SSD storage offers qualitative cost efficiency by eliminating external storage dependencies for data-heavy operations. This server is best suited for databases, Redis caching, static web serving, and multi-threaded general-purpose workloads, though it is less effective for single-threaded tasks or complex machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.581Score
      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) 965,627 ops/sec 1,896,415 ops/sec 0.509 50.00% 50.00% -28.70%
      Redis RPS (pipeline=16, SET) 6,935,414 ops/sec 11,539,523 ops/sec 0.601 20.00% 20.00% -9.68%
      PassMark Memory Mark (composite) 1,756 2,411 0.728 10.00% 10.00% -3.12%
      Memory bandwidth (read, 16 MB ~ L3) 72,329 MB/sec 107,368 MB/sec 0.674 10.00% 10.00% -3.87%
      PassMark single-thread CPU 1,694 Mops/s 2,363 Mops/s 0.717 10.00% 10.00% -3.27%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 964

      Geekbench Multi-Core

      Score: 5,912

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 12985
      Compression
      		 180871
      Encryption
      		 5450
      Extended Instructions
      		 11903
      Floating Point Maths
      		 21110
      Integer Maths
      		 39261
      Physics
      		 1253
      Prime Numbers
      		 71
      Single Threaded
      		 1694
      String Sorting
      		 23771

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1756
      Database Operations
      		 4308
      Memory Latency
      		 77
      Memory Read Cached
      		 19500
      Memory Read Uncached
      		 6178
      Memory Write
      		 6678

      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.i2g.2xlarge 832 GiB0
      ecs.i2g.8xlarge 32128 GiB0
      ecs.i2g.16xlarge 64256 GiB0

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      ecs.i2g.4xlarge FAQs