ecs.c7t.4xlarge by Alibaba Cloud

ecs.c7t.4xlarge is a ecs.c7t family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.5825 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15,544
(All-cores)
1,876
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7t.4xlarge
Description
ecs.c7t family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7t
Hw Virt
Status
active
Observed At
2026-10-28T07:38:05.792068

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.5825 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5825 USD/h
Shanghai (CN) / cn-shanghai
- 0.5825 USD/h
Jakarta (ID) / ap-southeast-5
- 0.741 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, sgx, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, sgx_lc, fsrm, arch_capabilities
Ecpus
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
32 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 16-vCPU compute-optimized instance designed for consistent processing power, software compilation, and high-throughput web serving.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7t.4xlarge is a compute-optimized virtual server featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.7 GHz. Operating on the KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio and lacks local storage or GPU hardware, utilizing a 10 Gbps baseline network bandwidth instead. Benchmark data indicates average performance, with a stress-ng multi-core score of 15544.16 and a Redis throughput of 15.82 million SET operations per second. The instance demonstrates solid capabilities in software compilation and static web serving, delivering 21.07 GB/sec of web throughput. With its dedicated CPU allocation and lack of bundled storage overhead, the ecs.c7t.4xlarge offers a balanced, predictable cost-to-performance profile. It is designed for compute-intensive workloads, including web serving, software build pipelines, and multi-threaded data decompression.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,089,322 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 11,034,009 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,243 2,416 0.92 10.00% 10.00% -0.83%
      Memory bandwidth (read, 16 MB ~ L3) 99,280 MB/sec 108,466 MB/sec 0.9 10.00% 10.00% -1.00%
      PassMark single-thread CPU 2,368 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,598

      Geekbench Multi-Core

      Score: 9,553

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21,126
      Compression
      246,382
      Encryption
      14,642
      Extended Instructions
      14,129
      Floating Point Maths
      34,483
      Integer Maths
      67,435
      Physics
      2,247
      Prime Numbers
      133
      Single Threaded
      2,368
      String Sorting
      35,026

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,243
      Database Operations
      7,532
      Memory Latency
      60
      Memory Read Cached
      24,328
      Memory Read Uncached
      10,694
      Memory Write
      9,900

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      271.89 306.9 1.13×
      bitops
      130,140 1,067,227 8.20×
      branch
      137,508 1,747,963 12.71×
      funccall
      635.54 5,205 8.19×
      funcret
      11,930 140,276 11.76×
      hash
      151,749 1,760,400 11.60×
      intmath
      61,402 605,491 9.86×
      nop
      190,035 1,331,608 7.01×
      prime
      393,701 3,412,602 8.67×
      rotate
      97,973 831,699 8.49×
      str
      870,219 7,400,355 8.50×
      wcs
      606,330 4,268,333 7.04×
      CryptographySingleMultiScaling
      crypt
      2,841 21,113 7.43×
      CompressionSingleMultiScaling
      jpeg
      726.43 7,472 10.29×
      zlib
      48.86 698.49 14.30×
      HypervisorSingleMultiScaling
      clock
      25,686 245,968 9.58×
      clone
      667.55 3,453 5.17×
      context
      4,843 58,309 12.04×
      cpu-sched
      66.75 1,008 15.11×
      eventfd
      115,286 719,166 6.24×
      fault
      18,508 167,396 9.04×
      fork
      5,944 54,311 9.14×
      getrandom
      51,101 473,949 9.27×
      hrtimers
      288,879 2,072,479 7.17×
      mprotect
      1,164,498 4,280,165 3.68×
      mtx
      9,239,438 550,588,459 59.59×
      munmap
      4,309 40,474 9.39×
      null
      801,710 7,938,551 9.90×
      pipe
      1,029,938 8,682,279 8.43×
      priv-instr
      828,090 8,320,265 10.05×
      resched
      7,687,605 2,296,077 0.30×
      switch
      192,668 2,856,272 14.82×
      timermix
      369,460 4,836,332 13.09×
      tlb-shootdown
      11,701 38,673 3.31×
      tsc
      769,830 9,120,298 11.85×
      usersyscall
      645,021 6,425,412 9.96×
      vdso
      112,330,587 1,020,057,562 9.08×
      vfork
      47,721 233,898 4.90×
      x86syscall
      9,100,744 99,577,881 10.94×
      yield
      13,606,298 13,895,449 1.02×
      zero
      4,632,112 44,498,371 9.61×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,836 152,908 10.31×
      expmath
      2,888 34,004 11.78×
      fma
      661,470 9,223,524 13.94×
      fp
      193.37 1,658 8.57×
      fractal
      5 59.2 11.84×
      hyperbolic
      3,032 36,482 12.03×
      logmath
      4,855 56,412 11.62×
      matrix
      3,521 43,443 12.34×
      matrix-3d
      815.16 3,622 4.44×
      monte-carlo
      258.78 2,839 10.97×
      mpfr
      1,413 12,096 8.56×
      powmath
      1,687 20,205 11.98×
      trig
      1,966 20,089 10.22×
      veccmp
      20,198 157,656 7.81×
      vecfp
      1,530 14,958 9.77×
      vecmath
      3,236 37,552 11.61×
      vecshuf
      666.46 5,809 8.72×
      vecwide
      31,793 296,557 9.33×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      249.27 2,705 10.85×
      bubblesort
      1 6.4 6.40×
      fibsearch
      288.82 2,886 9.99×
      heapsort
      9.4 86.6 9.21×
      hsearch
      7,357 65,408 8.89×
      insertionsort
      10.6 51 4.81×
      malloc
      2,581,201 26,224,989 10.16×
      mcontend
      143.11 3,418 23.89×
      mergesort
      26.8 300.99 11.23×
      qsort
      20.6 174.39 8.47×
      skiplist
      5,460 65,186 11.94×
      tree
      1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      433,765 709,984 1.64×
      cachehammer
      367,548 4,924,991 13.40×
      cacheline
      67.16 1,052 15.67×
      l1cache
      917.69 3,032 3.30×
      memcpy
      408.15 3,212 7.87×
      memrate
      1.78 9.33 5.24×
      memthrash
      241.35 638.98 2.65×
      ptr-chase
      36,248,337 158,969,739 4.39×
      spinmem
      354.79 1,093 3.08×
      stream
      38.16 4,114 107.80×
      vm
      98,624 293,951 2.98×

      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.c7t.large 24 GiB0
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      ecs.c7t.3xlarge 1224 GiB0
      ecs.c7t.6xlarge 2448 GiB0
      ecs.c7t.8xlarge 3264 GiB0
      ecs.c7t.16xlarge 64128 GiB0

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      ecs.c7t.4xlarge FAQs