ecs.c7.16xlarge by Alibaba Cloud

ecs.c7.16xlarge is a ecs.c7 family (64 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.5386 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
62,125
(All-cores)
1,861
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.16xlarge
Description
ecs.c7 family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-10-28T07:38:05.790546

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 1.7974 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.0193 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.0193 USD/h
Virginia (US) / us-east-1
0.5386 USD/h 2.448 USD/h
Frankfurt (DE) / eu-central-1
0.6147 USD/h 2.794 USD/h
Hong Kong (HK) / cn-hongkong
0.591 USD/h 3.1104 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
40 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, aperfmperf, 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, 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, fsrm, arch_capabilities
Ecpus
33.4
Scalability
52.19

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      32 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized platform featuring dedicated Intel Xeon processors and high multi-core performance for demanding parallel processing workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.16xlarge is a compute-optimized instance utilizing the KVM hypervisor and an Intel Xeon 8369B processor. It delivers 64 vCPUs (32 physical cores) running at 2.7 GHz, paired with 128.0 GB of RAM, resulting in a 2.0 GB per vCPU ratio. The instance features a baseline network bandwidth of 32 Gbps and lacks local storage or GPUs. Benchmark results show strong multi-core CPU performance, PassMark CPU scores, and cryptographic capabilities, supported by AVX-512 and VNNI instruction sets. Conversely, single-core processing and large-block memory bandwidth fall into average tiers. This configuration is optimized for multi-threaded workloads, database operations, and lightweight machine learning inference, though storage-heavy applications must account for the absence of local disks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.5Score
      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) 6,974,502 ops/sec 1,919,289 ops/sec 3.7 50.00% 50.00% +92.00%
      Redis RPS (pipeline=16, SET) 33,642,026 ops/sec 11,728,058 ops/sec 2.8 20.00% 20.00% +23.00%
      PassMark Memory Mark (composite) 2,805 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 176,530 MB/sec 108,466 MB/sec 1.6 10.00% 10.00% +4.80%
      PassMark single-thread CPU 2,363 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 55,792
      Compression
      		 895,244
      Encryption
      		 51,982
      Extended Instructions
      		 50,610
      Floating Point Maths
      		 137,736
      Integer Maths
      		 269,504
      Physics
      		 4,114
      Prime Numbers
      		 259
      Single Threaded
      		 2,363
      String Sorting
      		 117,536

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,805
      Database Operations
      		 25,542
      Memory Latency
      		 52
      Memory Read Cached
      		 24,113
      Memory Read Uncached
      		 11,808
      Memory Write
      		 10,988

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 277.15 282.65 1.02×
      bitops
      		 129,876 4,250,190 32.72×
      branch
      		 137,380 6,982,819 50.83×
      funccall
      		 633.98 19,699 31.07×
      funcret
      		 11,986 507,095 42.31×
      hash
      		 151,948 6,910,185 45.48×
      intmath
      		 60,992 2,393,403 39.24×
      nop
      		 188,958 5,295,972 28.03×
      prime
      		 393,450 12,752,170 32.41×
      rotate
      		 97,849 3,322,990 33.96×
      str
      		 888,667 26,558,961 29.89×
      wcs
      		 604,702 15,524,635 25.67×
      CryptographySingleMultiScaling
      crypt
      		 2,839 81,224 28.61×
      CompressionSingleMultiScaling
      jpeg
      		 722.1 26,050 36.08×
      zlib
      		 56.83 2,730 48.04×
      HypervisorSingleMultiScaling
      clock
      		 23,229 320,860 13.81×
      clone
      		 588.99 8,896 15.10×
      context
      		 4,804 229,816 47.84×
      cpu-sched
      		 69.57 4,007 57.60×
      eventfd
      		 107,253 2,171,116 20.24×
      fault
      		 17,294 264,196 15.28×
      fork
      		 5,282 109,412 20.72×
      getrandom
      		 51,053 1,799,249 35.24×
      hrtimers
      		 205,204 2,512,033 12.24×
      mprotect
      		 1,204,446 14,116,576 11.72×
      mtx
      		 13,237,995 2,010,440,171 151.87×
      munmap
      		 3,807 106,131 27.88×
      null
      		 796,233 29,508,662 37.06×
      pipe
      		 1,115,769 27,220,373 24.40×
      priv-instr
      		 811,011 17,350,469 21.39×
      resched
      		 17,379,433 9,082,224 0.52×
      switch
      		 194,488 3,663,513 18.84×
      timermix
      		 358,410 19,479,079 54.35×
      tlb-shootdown
      		 11,667 83,691 7.17×
      tsc
      		 767,116 36,275,719 47.29×
      usersyscall
      		 633,914 16,677,193 26.31×
      vdso
      		 103,245,324 3,620,018,425 35.06×
      vfork
      		 41,686 167,185 4.01×
      x86syscall
      		 8,993,804 380,761,659 42.34×
      yield
      		 44,994,695 60,828,743 1.35×
      zero
      		 4,611,243 169,968,629 36.86×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,789 574,513 38.85×
      expmath
      		 2,885 129,147 44.76×
      fma
      		 660,946 35,163,535 53.20×
      fp
      		 200.71 6,368 31.73×
      fractal
      		 5 227.27 45.45×
      hyperbolic
      		 3,081 140,387 45.57×
      logmath
      		 4,782 217,206 45.42×
      matrix
      		 3,515 158,604 45.13×
      matrix-3d
      		 771.94 6,032 7.81×
      monte-carlo
      		 258.36 10,327 39.97×
      mpfr
      		 1,412 44,636 31.62×
      powmath
      		 1,687 76,554 45.38×
      trig
      		 1,965 73,436 37.37×
      veccmp
      		 20,319 586,336 28.86×
      vecfp
      		 1,528 58,439 38.23×
      vecmath
      		 3,232 139,634 43.21×
      vecshuf
      		 665.48 22,386 33.64×
      vecwide
      		 31,897 1,003,105 31.45×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 243.19 30.40×
      bsearch
      		 249.75 10,005 40.06×
      bubblesort
      		 1 25.6 25.60×
      fibsearch
      		 288.08 11,502 39.93×
      heapsort
      		 9.4 320.79 34.13×
      hsearch
      		 7,139 234,418 32.84×
      insertionsort
      		 10.4 192 18.46×
      malloc
      		 2,732,285 61,034,359 22.34×
      mcontend
      		 107.08 12,982 121.24×
      mergesort
      		 26.8 1,054 39.32×
      qsort
      		 20.8 637.97 30.67×
      skiplist
      		 5,442 247,033 45.40×
      tree
      		 1.6 38.33 23.96×
      MemorySingleMultiScaling
      cache
      		 453,364 1,056,012 2.33×
      cachehammer
      		 384,945 15,853,241 41.18×
      cacheline
      		 71.16 4,433 62.30×
      l1cache
      		 916.82 11,902 12.98×
      memcpy
      		 406.68 11,992 29.49×
      memrate
      		 1.78 23.31 13.10×
      memthrash
      		 257.83 1,237 4.80×
      ptr-chase
      		 34,429,020 538,316,219 15.64×
      spinmem
      		 352.39 4,458 12.65×
      stream
      		 42.93 24,421 568.86×
      vm
      		 116,154 303,717 2.61×

      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.c7.large 24 GiB0
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      ecs.c7.3xlarge 1224 GiB0
      ecs.c7.4xlarge 1632 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0

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      ecs.c7.16xlarge FAQs