ecs.c7.3xlarge by Alibaba Cloud

ecs.c7.3xlarge is a ecs.c7 family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0719 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
11,645
(All-cores)
1,875
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.3xlarge
Description
ecs.c7 family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-10-23T21:32:38.428035

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0741 USD/h 0.337 USD/h
Ulanqab (CN) / cn-wulanchabu
0.075 USD/h 0.3408 USD/h
Shenzhen (CN) / cn-shenzhen
0.0719 USD/h 0.3786 USD/h
Guangzhou (CN) / cn-guangzhou
0.0833 USD/h 0.3786 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3786 USD/h
Shanghai (CN) / cn-shanghai
- 0.3786 USD/h
Virginia (US) / us-east-1
0.0872 USD/h 0.459 USD/h
Frankfurt (DE) / eu-central-1
0.0996 USD/h 0.524 USD/h
Tokyo (JP) / ap-northeast-1
0.1098 USD/h 0.578 USD/h
Hong Kong (HK) / cn-hongkong
- 0.5832 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring twelve vCPUs and AVX-512 support for sustained processing, web serving, and compilation workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.3xlarge is an x86_64 compute-optimized instance featuring 12 dedicated vCPUs and 24.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Built on a KVM hypervisor, it lacks local storage and GPU accelerators but offers an 8 Gbps baseline network bandwidth. The processor supports AVX-512 and cryptographic instructions, delivering balanced mid-tier performance across standard benchmarks, including a Geekbench multi-core score of 7760.0 and a Redis SET throughput of 11.74 million operations per second. With a 2.0 GB per vCPU memory ratio, the instance is qualitatively cost-efficient for compute-bound workloads that do not require massive memory footprints. It is appropriate for web serving, software compilation, multi-threaded decompression, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.79Score
      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) 1,533,575 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 7,874,509 ops/sec 11,728,058 ops/sec 0.66 20.00% 20.00% -8.00%
      PassMark Memory Mark (composite) 2,304 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 79,009 MB/sec 108,466 MB/sec 0.72 10.00% 10.00% -3.20%
      PassMark single-thread CPU 2,361 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,531

      Geekbench Multi-Core

      Score: 7,760

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,209
      Compression
      		 184,953
      Encryption
      		 10,958
      Extended Instructions
      		 10,514
      Floating Point Maths
      		 25,820
      Integer Maths
      		 50,488
      Physics
      		 1,691
      Prime Numbers
      		 87
      Single Threaded
      		 2,361
      String Sorting
      		 26,005

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,304
      Database Operations
      		 5,803
      Memory Latency
      		 57
      Memory Read Cached
      		 24,213
      Memory Read Uncached
      		 10,742
      Memory Write
      		 9,828

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 280 313.42 1.12×
      bitops
      		 130,285 799,048 6.13×
      branch
      		 137,328 1,306,792 9.52×
      funccall
      		 633.51 3,902 6.16×
      funcret
      		 11,728 103,872 8.86×
      hash
      		 151,980 1,316,153 8.66×
      intmath
      		 61,312 451,890 7.37×
      nop
      		 189,938 998,233 5.26×
      prime
      		 394,339 2,569,217 6.52×
      rotate
      		 97,887 623,352 6.37×
      str
      		 862,242 5,534,579 6.42×
      wcs
      		 616,990 3,173,404 5.14×
      CryptographySingleMultiScaling
      crypt
      		 2,840 15,813 5.57×
      CompressionSingleMultiScaling
      jpeg
      		 725.04 5,595 7.72×
      zlib
      		 57.91 563.69 9.73×
      HypervisorSingleMultiScaling
      clock
      		 25,681 202,273 7.88×
      clone
      		 582.34 2,671 4.59×
      context
      		 4,835 43,608 9.02×
      cpu-sched
      		 56.99 747.59 13.12×
      eventfd
      		 114,569 1,034,220 9.03×
      fault
      		 17,603 123,989 7.04×
      fork
      		 5,764 45,179 7.84×
      getrandom
      		 51,129 354,733 6.94×
      hrtimers
      		 549,842 1,629,632 2.96×
      mprotect
      		 1,128,932 3,124,911 2.77×
      mtx
      		 12,932,375 413,774,496 32.00×
      munmap
      		 4,125 31,320 7.59×
      null
      		 797,933 5,892,158 7.38×
      pipe
      		 1,158,078 6,727,641 5.81×
      priv-instr
      		 819,513 6,173,056 7.53×
      resched
      		 5,392,446 1,782,564 0.33×
      switch
      		 196,584 2,109,930 10.73×
      timermix
      		 359,644 3,649,786 10.15×
      tlb-shootdown
      		 14,305 29,781 2.08×
      tsc
      		 768,993 6,827,900 8.88×
      usersyscall
      		 641,776 4,767,274 7.43×
      vdso
      		 111,852,243 762,506,459 6.82×
      vfork
      		 44,168 204,951 4.64×
      x86syscall
      		 9,107,626 73,446,470 8.06×
      yield
      		 10,462,654 9,947,623 0.95×
      zero
      		 4,630,227 33,408,292 7.22×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,811 114,124 7.71×
      expmath
      		 2,886 25,453 8.82×
      fma
      		 660,648 6,904,604 10.45×
      fp
      		 172.8 1,233 7.14×
      fractal
      		 5 44.2 8.84×
      hyperbolic
      		 3,071 27,367 8.91×
      logmath
      		 4,856 42,219 8.69×
      matrix
      		 3,506 32,513 9.27×
      matrix-3d
      		 681.19 2,874 4.22×
      monte-carlo
      		 258.72 2,120 8.19×
      mpfr
      		 1,412 9,053 6.41×
      powmath
      		 1,687 15,120 8.96×
      trig
      		 1,966 15,015 7.64×
      veccmp
      		 20,221 117,988 5.83×
      vecfp
      		 1,527 11,242 7.36×
      vecmath
      		 3,232 28,112 8.70×
      vecshuf
      		 665.09 4,347 6.54×
      vecwide
      		 31,906 221,468 6.94×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 48.2 6.03×
      bsearch
      		 249.02 2,013 8.08×
      bubblesort
      		 1 4.8 4.80×
      fibsearch
      		 288.49 2,153 7.46×
      heapsort
      		 9.4 65 6.91×
      hsearch
      		 7,337 49,043 6.68×
      insertionsort
      		 10.6 38.2 3.60×
      malloc
      		 2,265,823 21,208,695 9.36×
      mcontend
      		 149.21 2,457 16.47×
      mergesort
      		 26.8 227.19 8.48×
      qsort
      		 20.8 130.2 6.26×
      skiplist
      		 5,457 48,488 8.89×
      tree
      		 1.4 9.6 6.86×
      MemorySingleMultiScaling
      cache
      		 308,261 489,802 1.59×
      cachehammer
      		 368,802 3,862,641 10.47×
      cacheline
      		 69.75 682.04 9.78×
      l1cache
      		 918.29 2,289 2.49×
      memcpy
      		 406.91 2,410 5.92×
      memrate
      		 1.58 9.16 5.80×
      memthrash
      		 226.82 477.6 2.11×
      ptr-chase
      		 12,572,303 122,319,701 9.73×
      spinmem
      		 354.19 813.95 2.30×
      stream
      		 36.78 2,447 66.54×
      vm
      		 109,040 293,027 2.69×

      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
      ecs.c7.xlarge 48 GiB0
      ecs.c7.2xlarge 816 GiB0
      ecs.c7.4xlarge 1632 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0
      ecs.c7.16xlarge 64128 GiB0

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      ecs.c7.3xlarge FAQs