ecs.c4.2xlarge by Alibaba Cloud

ecs.c4.2xlarge is a ecs.c4 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.38 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
8,311
(All-cores)
1,576
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c4.2xlarge
Description
ecs.c4 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c4
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.506217

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.38 USD/h
Hong Kong (HK) / cn-hongkong
- 0.44 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, 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, avx512_bf16, arat, avx512_vnni
Ecpus
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    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 compute-optimized x86_64 server featuring eight dedicated Intel Xeon vCPUs and sixteen gigabytes of RAM for compute-focused workloads.

      Compute Optimized

      Alibaba Cloud ecs.c4.2xlarge is an x86_64 compute-optimized instance powered by a 3.2 GHz Intel Xeon 8369HB processor. It features 8 dedicated vCPUs across 4 physical cores, 16.0 GB of RAM, and no local storage, operating on a KVM hypervisor with a baseline network bandwidth of 3 Gbps. The CPU supports AVX-512 extensions but lacks AMX. Performance benchmarks indicate average capabilities for standard CPU tasks, with a Geekbench multi-core score of 4720.0 and Redis SET operations reaching 8.09 million operations per second. However, memory-intensive operations show weaknesses, with uncached large-block read bandwidth at 37.74 GB/sec and a weak Passmark database score of 2280.27. This instance is suited for compute-focused workloads with moderate memory requirements, such as software compilation, static web serving, and basic text processing, while showing performance tradeoffs in memory-bound or large-model inference tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 953,129 ops/sec 1,919,289 ops/sec 0.5 50.00% 50.00% -29.00%
      Redis RPS (pipeline=16, SET) 5,393,091 ops/sec 11,728,058 ops/sec 0.45 20.00% 20.00% -15.00%
      PassMark Memory Mark (composite) 1,525 2,416 0.62 10.00% 10.00% -4.70%
      Memory bandwidth (read, 16 MB ~ L3) 40,278 MB/sec 108,466 MB/sec 0.36 10.00% 10.00% -9.70%
      PassMark single-thread CPU 2,344 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,259

      Geekbench Multi-Core

      Score: 4,720

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      9,572
      Compression
      130,225
      Encryption
      3,860
      Extended Instructions
      7,317
      Floating Point Maths
      14,956
      Integer Maths
      27,905
      Physics
      736
      Prime Numbers
      65
      Single Threaded
      2,344
      String Sorting
      16,574

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,525
      Database Operations
      2,280
      Memory Latency
      86
      Memory Read Cached
      26,740
      Memory Read Uncached
      6,849
      Memory Write
      7,363

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      227.33 279.52 1.23×
      bitops
      141,535 625,988 4.42×
      branch
      172,592 1,049,293 6.08×
      funccall
      634.57 2,654 4.18×
      funcret
      12,717 74,862 5.89×
      hash
      146,765 864,887 5.89×
      intmath
      25,080 153,418 6.12×
      nop
      214,161 741,919 3.46×
      prime
      361,206 1,609,973 4.46×
      rotate
      108,159 547,321 5.06×
      str
      928,706 4,581,748 4.93×
      wcs
      567,907 2,514,755 4.43×
      CryptographySingleMultiScaling
      crypt
      2,728 10,655 3.91×
      CompressionSingleMultiScaling
      jpeg
      697.39 3,287 4.71×
      zlib
      64.19 374.2 5.83×
      HypervisorSingleMultiScaling
      clock
      21,888 138,437 6.32×
      clone
      442.7 1,881 4.25×
      context
      3,131 22,028 7.04×
      cpu-sched
      70.18 524.33 7.47×
      eventfd
      102,641 614,080 5.98×
      fault
      15,590 85,038 5.45×
      fork
      4,656 28,732 6.17×
      getrandom
      51,360 256,587 5.00×
      hrtimers
      576,166 1,135,044 1.97×
      mprotect
      1,045,479 1,944,627 1.86×
      mtx
      9,229,204 266,209,280 28.84×
      munmap
      3,387 18,494 5.46×
      null
      370,419 2,470,971 6.67×
      pipe
      771,177 3,448,131 4.47×
      priv-instr
      613,432 3,560,319 5.80×
      resched
      2,602,644 965,874 0.37×
      switch
      267,774 1,289,642 4.82×
      timermix
      348,543 2,558,114 7.34×
      tlb-shootdown
      9,391 19,257 2.05×
      tsc
      1,115,032 6,266,660 5.62×
      usersyscall
      451,069 2,750,900 6.10×
      vdso
      90,728,079 642,322,393 7.08×
      vfork
      31,944 125,289 3.92×
      x86syscall
      4,217,720 29,046,516 6.89×
      yield
      5,473,214 5,811,493 1.06×
      zero
      2,357,408 13,620,895 5.78×
      CPU float/SIMDSingleMultiScaling
      eigen
      18,231 86,906 4.77×
      expmath
      2,992 18,450 6.17×
      fma
      584,717 4,068,658 6.96×
      fp
      184.8 1,109 6.00×
      fractal
      5.8 34.6 5.97×
      hyperbolic
      3,128 19,696 6.30×
      logmath
      5,112 30,885 6.04×
      matrix
      3,266 20,020 6.13×
      matrix-3d
      624.41 1,477 2.37×
      monte-carlo
      171.41 1,111 6.48×
      mpfr
      1,369 5,928 4.33×
      powmath
      1,774 10,892 6.14×
      trig
      1,918 10,393 5.42×
      veccmp
      18,358 72,285 3.94×
      vecfp
      2,150 10,640 4.95×
      vecmath
      2,340 14,954 6.39×
      vecshuf
      912.28 4,039 4.43×
      vecwide
      55,126 259,885 4.71×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 37.6 4.70×
      bsearch
      278.95 1,287 4.61×
      bubblesort
      0.8 3.2 4.00×
      fibsearch
      314.4 1,588 5.05×
      heapsort
      9.4 46.4 4.94×
      hsearch
      5,725 27,655 4.83×
      insertionsort
      9.2 36.6 3.98×
      malloc
      1,997,929 16,540,003 8.28×
      mcontend
      139.46 1,401 10.05×
      mergesort
      29.8 157.19 5.27×
      qsort
      21.2 105 4.95×
      skiplist
      5,846 33,198 5.68×
      tree
      1.6 6.4 4.00×
      MemorySingleMultiScaling
      cache
      268,570 431,396 1.61×
      cachehammer
      227,389 1,679,777 7.39×
      cacheline
      32.84 280.01 8.53×
      l1cache
      254.29 1,098 4.32×
      memcpy
      427 1,730 4.05×
      memrate
      0.98 4.65 4.74×
      memthrash
      157.47 250.04 1.59×
      ptr-chase
      33,848,643 67,063,922 1.98×
      spinmem
      329.19 457.36 1.39×
      stream
      25.86 1,066 41.22×
      vm
      56,399 291,598 5.17×

      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

      INSTANCEvCPUsMEMORYAccelerators
      ecs.c4.xlarge 48 GiB0
      ecs.c4.3xlarge 1224 GiB0
      ecs.c4.4xlarge 1632 GiB0

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      ecs.c4.2xlarge FAQs