ecs.c7a.2xlarge by Alibaba Cloud

ecs.c7a.2xlarge is a ecs.c7a 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 0.0346 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
10,782
(All-cores)
2,698
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a.2xlarge
Description
ecs.c7a family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.955615

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.163 USD/h
Beijing (CN) / cn-beijing
0.0346 USD/h 0.182 USD/h
Chengdu (CN) / cn-chengdu
0.0346 USD/h 0.182 USD/h
Guangzhou (CN) / cn-guangzhou
0.0346 USD/h 0.182 USD/h
Shenzhen (CN) / cn-shenzhen
0.0346 USD/h 0.182 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.182 USD/h
Shanghai (CN) / cn-shanghai
- 0.182 USD/h
Virginia (US) / us-east-1
0.0522 USD/h 0.2746 USD/h
Frankfurt (DE) / eu-central-1
- 0.2746 USD/h
Jakarta (ID) / ap-southeast-5
0.07175 USD/h 0.299 USD/h
Hong Kong (HK) / cn-hongkong
0.0898 USD/h 0.2992 USD/h
Singapore (SG) / ap-southeast-1
- 0.2992 USD/h
Tokyo (JP) / ap-northeast-1
0.0669 USD/h 0.3264 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
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
512 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
4
Scalability
50

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

      CPU and System Topology

      Server Description

      A dedicated compute-optimized virtual server featuring AMD EPYC processors, designed for stateless workloads, web serving, and software compilation.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a.2xlarge is an x86_64 compute-optimized virtual server featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an AMD EPYC 7T83 processor at 2.55 GHz. It operates on the KVM hypervisor and does not include local storage or GPU accelerators, utilizing a 2 Gbps baseline network bandwidth. Performance benchmarks indicate strong single-core CPU capabilities, though multi-core performance and memory read bandwidth are average. Notable tradeoffs include weak large-block memory write bandwidth and limited prompt processing speeds for medium-sized LLM models. Qualitatively, this instance provides a cost-efficient option for dedicated compute workloads that do not require local storage. It is best suited for web serving, software compilation, database operations, and stateless application tiers.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.41Score
      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) 547,793 ops/sec 1,918,343 ops/sec 0.29 50.00% 50.00% -46.00%
      Redis RPS (pipeline=16, SET) 4,428,385 ops/sec 11,704,734 ops/sec 0.37 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 2,190 2,416 0.92 10.00% 10.00% -0.83%
      Memory bandwidth (read, 16 MB ~ L3) 51,416 MB/sec 108,420 MB/sec 0.46 10.00% 10.00% -7.50%
      PassMark single-thread CPU 2,386 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,518

      Geekbench Multi-Core

      Score: 5,771

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,819
      Compression
      		 127,315
      Encryption
      		 8,603
      Extended Instructions
      		 7,360
      Floating Point Maths
      		 18,338
      Integer Maths
      		 33,248
      Physics
      		 1,280
      Prime Numbers
      		 69
      Single Threaded
      		 2,386
      String Sorting
      		 18,311

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,190
      Database Operations
      		 3,588
      Memory Latency
      		 57
      Memory Read Cached
      		 23,663
      Memory Read Uncached
      		 17,624
      Memory Write
      		 15,690

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 250.73 241.24 0.96×
      bitops
      		 141,120 653,862 4.63×
      branch
      		 164,304 1,203,865 7.33×
      funccall
      		 538.95 2,788 5.17×
      funcret
      		 17,114 89,046 5.20×
      hash
      		 136,327 834,547 6.12×
      intmath
      		 58,188 314,689 5.41×
      nop
      		 283,067 1,140,521 4.03×
      prime
      		 394,216 1,936,251 4.91×
      rotate
      		 77,148 308,986 4.01×
      str
      		 831,728 4,079,024 4.90×
      wcs
      		 572,643 2,529,076 4.42×
      CryptographySingleMultiScaling
      crypt
      		 3,148 12,966 4.12×
      CompressionSingleMultiScaling
      jpeg
      		 714.95 3,962 5.54×
      zlib
      		 50.38 331.38 6.58×
      HypervisorSingleMultiScaling
      clock
      		 17,844 99,055 5.55×
      clone
      		 393.91 1,296 3.29×
      context
      		 1,801 10,319 5.73×
      cpu-sched
      		 70.12 523.1 7.46×
      eventfd
      		 58,893 350,255 5.95×
      fault
      		 7,600 49,429 6.50×
      fork
      		 3,966 22,558 5.69×
      getrandom
      		 43,776 221,582 5.06×
      hrtimers
      		 214,132 727,523 3.40×
      mprotect
      		 849,263 1,014,161 1.19×
      mtx
      		 32,999,056 453,391,596 13.74×
      munmap
      		 2,581 14,910 5.78×
      null
      		 195,324 1,085,362 5.56×
      pipe
      		 1,054,110 2,021,040 1.92×
      priv-instr
      		 321,532 1,913,653 5.95×
      resched
      		 1,498,636 556,668 0.37×
      switch
      		 122,414 769,109 6.28×
      timermix
      		 200,054 1,231,495 6.16×
      tlb-shootdown
      		 18,041 32,649 1.81×
      tsc
      		 669,030 5,147,292 7.69×
      usersyscall
      		 218,724 1,279,406 5.85×
      vdso
      		 77,322,464 522,607,222 6.76×
      vfork
      		 30,705 119,491 3.89×
      x86syscall
      		 2,288,290 12,360,573 5.40×
      yield
      		 3,163,262 3,235,984 1.02×
      zero
      		 1,680,308 8,998,482 5.36×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,065 57,873 4.11×
      expmath
      		 2,430 15,649 6.44×
      fma
      		 779,175 4,924,583 6.32×
      fp
      		 227.41 1,305 5.74×
      fractal
      		 6.8 44.6 6.56×
      hyperbolic
      		 3,291 19,920 6.05×
      logmath
      		 3,873 22,216 5.74×
      matrix
      		 2,712 16,101 5.94×
      matrix-3d
      		 795.89 1,430 1.80×
      monte-carlo
      		 107.16 598.1 5.58×
      mpfr
      		 1,403 6,820 4.86×
      powmath
      		 1,204 7,896 6.56×
      trig
      		 1,491 9,229 6.19×
      veccmp
      		 15,984 84,278 5.27×
      vecfp
      		 1,474 8,132 5.52×
      vecmath
      		 3,416 22,082 6.46×
      vecshuf
      		 534.1 2,486 4.66×
      vecwide
      		 23,640 120,282 5.09×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 36.8 4.28×
      bsearch
      		 259.54 1,381 5.32×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 320.44 1,516 4.73×
      heapsort
      		 9.4 46 4.89×
      hsearch
      		 7,629 35,667 4.68×
      insertionsort
      		 11.6 46.4 4.00×
      malloc
      		 3,146,733 21,700,402 6.90×
      mcontend
      		 256.73 1,505 5.86×
      mergesort
      		 27.2 162.2 5.96×
      qsort
      		 18.8 101.2 5.38×
      skiplist
      		 6,171 37,803 6.13×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 654,707 1,198,027 1.83×
      cachehammer
      		 307,936 2,192,962 7.12×
      cacheline
      		 38.66 318.85 8.25×
      l1cache
      		 142.94 637.96 4.46×
      memcpy
      		 365.9 1,396 3.82×
      memrate
      		 2.53 4.58 1.81×
      memthrash
      		 77.76 290.01 3.73×
      ptr-chase
      		 39,926,161 79,001,740 1.98×
      spinmem
      		 357.94 546.36 1.53×
      stream
      		 95.15 1,046 10.99×
      vm
      		 55,022 291,205 5.29×

      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

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