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ecs.e-c1m4.2xlarge by Alibaba Cloud

ecs.e-c1m4.2xlarge is a ecs.e family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0169 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
8360
(All-cores)
1103
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.e-c1m4.2xlarge
Description
ecs.e family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.e
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-08-07T14:46:15.812741

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0169 USD/h 0.1881 USD/h
Heyuan (CN) / cn-heyuan
- 0.1881 USD/h
Shanghai (CN) / cn-shanghai
0.0188 USD/h 0.209 USD/h
Hangzhou (CN) / cn-hangzhou
0.023 USD/h 0.209 USD/h
Hohhot (CN) / cn-huhehaote
0.023 USD/h 0.209 USD/h
Beijing (CN) / cn-beijing
0.0293 USD/h 0.209 USD/h
Chengdu (CN) / cn-chengdu
- 0.209 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.209 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.209 USD/h
Nanjing (CN) / cn-nanjing
- 0.209 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.209 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
7.6
Scalability
95

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
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A budget-friendly general-purpose server offering shared Intel Xeon processing and balanced memory for non-critical multi-threaded workloads.

      General PurposeBurstable & Budget

      Alibaba Cloud ecs.e-c1m4.2xlarge is an x86_64 general-purpose virtual server featuring 8 vCPUs and 8 physical cores on a shared Intel Xeon processor clocked at 2.5 GHz. It is configured with 32.0 GB of RAM, providing a balanced 1:4 vCPU-to-RAM ratio, but lacks local storage and GPU acceleration. Network performance is limited to a 1 Gbps baseline. Benchmarks reveal a performance tradeoff: single-core CPU execution and database operations are weak, while multi-core CPU performance, memory bandwidth, and static web serving throughput reach average tiers. Due to its shared CPU allocation and moderate performance profile, this instance is qualitatively cost-efficient for non-critical workloads. It is best suited for general-purpose applications, multi-threaded utility processing, and static web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.572Score
      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) 1,032,244 ops/sec 1,910,660 ops/sec 0.54 50.00% 50.00% -26.50%
      Redis RPS (pipeline=16, SET) 6,082,449 ops/sec 11,608,287 ops/sec 0.524 20.00% 20.00% -12.10%
      PassMark Memory Mark (composite) 1,660 2,416 0.687 10.00% 10.00% -3.68%
      Memory bandwidth (read, 16 MB ~ L3) 64,869 MB/sec 107,896 MB/sec 0.601 10.00% 10.00% -4.96%
      PassMark single-thread CPU 1,691 Mops/s 2,364 Mops/s 0.715 10.00% 10.00% -3.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9972
      Compression
      		 136177
      Encryption
      		 3308
      Extended Instructions
      		 10827
      Floating Point Maths
      		 19446
      Integer Maths
      		 25690
      Physics
      		 1097
      Prime Numbers
      		 74
      Single Threaded
      		 1691
      String Sorting
      		 17600

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1660
      Database Operations
      		 2218
      Memory Latency
      		 79
      Memory Read Cached
      		 19505
      Memory Read Uncached
      		 6146
      Memory Write
      		 6648

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.e-c4m1.large 20.5 GiB0
      ecs.e-c2m1.large 21 GiB0
      ecs.e-c1m1.large 22 GiB0
      ecs.e-c1m2.large 24 GiB0
      ecs.e-c1m4.large 28 GiB0
      ecs.e-c1m2.xlarge 48 GiB0
      ecs.e-c1m4.xlarge 416 GiB0

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      ecs.e-c1m4.2xlarge FAQs