ecs.c7.2xlarge by Alibaba Cloud

ecs.c7.2xlarge is a ecs.c7 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 0.0555 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,749
(All-cores)
1,850
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.2xlarge
Description
ecs.c7 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-10-24T18:37:20.226907

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.2247 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0591 USD/h 0.2272 USD/h
Guangzhou (CN) / cn-guangzhou
0.0555 USD/h 0.2524 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2524 USD/h
Shanghai (CN) / cn-shanghai
- 0.2524 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2524 USD/h
Virginia (US) / us-east-1
0.0627 USD/h 0.306 USD/h
Frankfurt (DE) / eu-central-1
0.0663 USD/h 0.349 USD/h
Tokyo (JP) / ap-northeast-1
0.0732 USD/h 0.385 USD/h
Hong Kong (HK) / cn-hongkong
0.0739 USD/h 0.3888 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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
4.2
Scalability
52.5

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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance with balanced CPU performance and moderate memory for web serving and compilation workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.2xlarge is a compute-optimized instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.7 GHz. Built on the x86_64 architecture and KVM hypervisor, it lacks local storage and GPU accelerators, relying on a 5 Gbps baseline network bandwidth. Benchmark data shows average CPU performance in single-core and multi-core stress tests, alongside average web serving and software compilation capabilities. However, uncached memory bandwidth is a notable bottleneck, scoring in the weak to poor ranges. This instance is best suited for compute-bound workloads such as web serving, software compilation, and lightweight data processing, rather than memory-intensive databases or large-scale AI inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.51Score
      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) 1,027,275 ops/sec 1,919,289 ops/sec 0.53 50.00% 50.00% -27.00%
      Redis RPS (pipeline=16, SET) 5,243,370 ops/sec 11,728,058 ops/sec 0.43 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 1,773 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 23,441 MB/sec 108,466 MB/sec 0.21 10.00% 10.00% -14.00%
      PassMark single-thread CPU 2,342 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,452

      Geekbench Multi-Core

      Score: 5,294

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,126
      Compression
      		 123,134
      Encryption
      		 7,249
      Extended Instructions
      		 6,947
      Floating Point Maths
      		 17,143
      Integer Maths
      		 33,502
      Physics
      		 1,141
      Prime Numbers
      		 64
      Single Threaded
      		 2,342
      String Sorting
      		 16,867

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,773
      Database Operations
      		 3,794
      Memory Latency
      		 56
      Memory Read Cached
      		 24,153
      Memory Read Uncached
      		 7,580
      Memory Write
      		 7,717

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 287.04 309.13 1.08×
      bitops
      		 129,774 531,515 4.10×
      branch
      		 136,974 869,586 6.35×
      funccall
      		 633.57 2,599 4.10×
      funcret
      		 11,713 69,144 5.90×
      hash
      		 151,513 876,917 5.79×
      intmath
      		 61,178 300,956 4.92×
      nop
      		 189,742 662,646 3.49×
      prime
      		 392,318 1,707,654 4.35×
      rotate
      		 97,646 419,219 4.29×
      str
      		 867,133 3,643,141 4.20×
      wcs
      		 603,827 2,154,015 3.57×
      CryptographySingleMultiScaling
      crypt
      		 2,831 10,523 3.72×
      CompressionSingleMultiScaling
      jpeg
      		 723.58 3,761 5.20×
      zlib
      		 48.53 364.31 7.51×
      HypervisorSingleMultiScaling
      clock
      		 25,827 149,337 5.78×
      clone
      		 575.54 1,855 3.22×
      context
      		 4,819 29,018 6.02×
      cpu-sched
      		 66.75 522.23 7.82×
      eventfd
      		 112,670 691,654 6.14×
      fault
      		 18,345 87,490 4.77×
      fork
      		 5,967 32,428 5.43×
      getrandom
      		 50,933 235,966 4.63×
      hrtimers
      		 256,638 1,387,775 5.41×
      mprotect
      		 1,045,686 2,154,486 2.06×
      mtx
      		 14,822,016 282,837,554 19.08×
      munmap
      		 4,286 21,274 4.96×
      null
      		 797,648 3,930,757 4.93×
      pipe
      		 1,079,684 4,584,823 4.25×
      priv-instr
      		 826,492 4,189,487 5.07×
      resched
      		 3,336,787 1,215,767 0.36×
      switch
      		 273,591 1,418,388 5.18×
      timermix
      		 345,639 2,386,484 6.90×
      tlb-shootdown
      		 11,717 22,123 1.89×
      tsc
      		 767,441 4,541,341 5.92×
      usersyscall
      		 640,136 3,205,528 5.01×
      vdso
      		 111,859,991 508,541,920 4.55×
      vfork
      		 46,355 160,938 3.47×
      x86syscall
      		 9,062,520 49,304,167 5.44×
      yield
      		 6,396,280 6,420,590 1.00×
      zero
      		 4,604,660 21,556,269 4.68×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,766 76,813 5.20×
      expmath
      		 2,863 16,900 5.90×
      fma
      		 658,892 4,586,495 6.96×
      fp
      		 171.56 810.24 4.72×
      fractal
      		 5 29.4 5.88×
      hyperbolic
      		 3,065 18,139 5.92×
      logmath
      		 4,844 28,077 5.80×
      matrix
      		 3,526 21,341 6.05×
      matrix-3d
      		 805.88 2,251 2.79×
      monte-carlo
      		 258.48 1,418 5.49×
      mpfr
      		 1,405 6,040 4.30×
      powmath
      		 1,682 10,057 5.98×
      trig
      		 1,961 10,004 5.10×
      veccmp
      		 20,123 78,514 3.90×
      vecfp
      		 1,525 7,477 4.90×
      vecmath
      		 3,224 18,702 5.80×
      vecshuf
      		 663.73 2,895 4.36×
      vecwide
      		 31,691 147,952 4.67×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32 4.00×
      bsearch
      		 250.36 1,337 5.34×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 287.69 1,419 4.93×
      heapsort
      		 9.4 43.2 4.60×
      hsearch
      		 7,296 32,488 4.45×
      insertionsort
      		 10.4 25.4 2.44×
      malloc
      		 2,649,962 17,912,464 6.76×
      mcontend
      		 157.86 1,757 11.13×
      mergesort
      		 26.8 150.2 5.60×
      qsort
      		 20.6 87.2 4.23×
      skiplist
      		 5,434 32,220 5.93×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 427,404 718,796 1.68×
      cachehammer
      		 375,039 2,763,872 7.37×
      cacheline
      		 54.95 499.05 9.08×
      l1cache
      		 915 1,536 1.68×
      memcpy
      		 405.58 1,602 3.95×
      memrate
      		 1.78 4.68 2.63×
      memthrash
      		 177.19 351.27 1.98×
      ptr-chase
      		 35,549,162 103,357,288 2.91×
      spinmem
      		 351.99 523.14 1.49×
      stream
      		 12.16 788.9 64.88×
      vm
      		 71,874 291,848 4.06×

      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.c7.3xlarge 1224 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.c7.2xlarge FAQs