ecs.c7.8xlarge by Alibaba Cloud

ecs.c7.8xlarge is a ecs.c7 family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.1918 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
30,977
(All-cores)
1,860
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.8xlarge
Description
ecs.c7 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-11-05T21:41:13.461394

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.1977 USD/h 0.8987 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.9087 USD/h
Shenzhen (CN) / cn-shenzhen
0.20695 USD/h 1.0096 USD/h
Guangzhou (CN) / cn-guangzhou
0.2625 USD/h 1.0096 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.0096 USD/h
Shanghai (CN) / cn-shanghai
- 1.0096 USD/h
Virginia (US) / us-east-1
0.2754 USD/h 1.224 USD/h
Frankfurt (DE) / eu-central-1
0.3073 USD/h 1.397 USD/h
Tokyo (JP) / ap-northeast-1
0.4007 USD/h 1.541 USD/h
Hong Kong (HK) / cn-hongkong
0.2955 USD/h 1.5552 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
16.7
Scalability
52.19

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 32-vCPU compute-optimized instance designed for high-throughput processing, web serving, and multi-threaded software compilation without local storage overhead.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.8xlarge is a compute-optimized virtual server instance running on the KVM hypervisor. It is configured with 32 dedicated vCPUs from an Intel Xeon 8369B processor operating at 2.7 GHz, paired with 64.0 GB of RAM. The instance lacks local storage and GPU accelerators, but provides a baseline network bandwidth of 16 Gbps. Benchmarks indicate solid mid-range performance, highlighted by a Passmark CPU score of 34,961.9 and strong text generation speeds of 266.46 tokens per second on small language models. With a 1:2 vCPU-to-RAM ratio, this instance is qualitatively cost-efficient for compute-bound workloads requiring dedicated CPU resources. It is highly suitable for tasks such as static web serving, software compilation, multi-threaded decompression, and medium-scale inference workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      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) 3,765,699 ops/sec 1,936,298 ops/sec 2 50.00% 50.00% +41.00%
      Redis RPS (pipeline=16, SET) 18,176,206 ops/sec 11,797,257 ops/sec 1.5 20.00% 20.00% +8.40%
      PassMark Memory Mark (composite) 2,503 2,407 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 129,159 MB/sec 108,490 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,398 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,502

      Geekbench Multi-Core

      Score: 12,846

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34,962
      Compression
      		 465,348
      Encryption
      		 27,295
      Extended Instructions
      		 26,759
      Floating Point Maths
      		 68,729
      Integer Maths
      		 134,365
      Physics
      		 2,750
      Prime Numbers
      		 147
      Single Threaded
      		 2,398
      String Sorting
      		 63,101

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,503
      Database Operations
      		 13,795
      Memory Latency
      		 58
      Memory Read Cached
      		 24,114
      Memory Read Uncached
      		 10,458
      Memory Write
      		 9,689

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 254.72 304.99 1.20×
      bitops
      		 130,122 2,111,035 16.22×
      branch
      		 137,219 3,459,985 25.22×
      funccall
      		 634.75 9,886 15.57×
      funcret
      		 11,738 257,259 21.92×
      hash
      		 151,577 3,435,493 22.66×
      intmath
      		 61,286 1,199,163 19.57×
      nop
      		 189,290 2,655,955 14.03×
      prime
      		 394,368 6,510,323 16.51×
      rotate
      		 97,788 1,664,575 17.02×
      str
      		 895,721 13,795,199 15.40×
      wcs
      		 638,088 8,075,668 12.66×
      CryptographySingleMultiScaling
      crypt
      		 2,829 40,656 14.37×
      CompressionSingleMultiScaling
      jpeg
      		 700.12 13,421 19.17×
      zlib
      		 47.08 1,466 31.13×
      HypervisorSingleMultiScaling
      clock
      		 24,349 361,248 14.84×
      clone
      		 495.93 5,778 11.65×
      context
      		 4,831 114,359 23.67×
      cpu-sched
      		 73.37 2,088 28.45×
      eventfd
      		 110,670 1,168,464 10.56×
      fault
      		 17,566 250,374 14.25×
      fork
      		 5,325 82,132 15.42×
      getrandom
      		 51,053 911,444 17.85×
      hrtimers
      		 235,712 2,985,906 12.67×
      mprotect
      		 1,145,826 7,611,459 6.64×
      mtx
      		 12,039,525 1,066,506,918 88.58×
      munmap
      		 3,724 61,563 16.53×
      null
      		 796,179 15,124,966 19.00×
      pipe
      		 1,015,483 17,725,753 17.46×
      priv-instr
      		 823,502 14,295,713 17.36×
      resched
      		 13,723,279 4,637,078 0.34×
      switch
      		 192,906 1,905,750 9.88×
      timermix
      		 354,044 9,646,464 27.25×
      tlb-shootdown
      		 13,739 54,216 3.95×
      tsc
      		 768,414 18,179,332 23.66×
      usersyscall
      		 643,197 11,928,952 18.55×
      vdso
      		 111,958,164 2,010,801,351 17.96×
      vfork
      		 40,152 197,716 4.92×
      x86syscall
      		 9,083,035 194,980,268 21.47×
      yield
      		 23,849,900 30,311,639 1.27×
      zero
      		 4,579,345 86,504,891 18.89×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,777 279,151 18.89×
      expmath
      		 2,882 65,191 22.62×
      fma
      		 659,921 17,914,242 27.15×
      fp
      		 200.05 3,166 15.83×
      fractal
      		 5 114.21 22.84×
      hyperbolic
      		 2,889 70,833 24.52×
      logmath
      		 4,845 109,321 22.56×
      matrix
      		 3,519 79,569 22.61×
      matrix-3d
      		 548.9 4,397 8.01×
      monte-carlo
      		 258.73 5,481 21.18×
      mpfr
      		 1,406 22,809 16.23×
      powmath
      		 1,681 38,814 23.10×
      trig
      		 1,960 38,081 19.43×
      veccmp
      		 20,238 301,105 14.88×
      vecfp
      		 1,527 29,483 19.31×
      vecmath
      		 3,228 71,730 22.22×
      vecshuf
      		 664.65 11,331 17.05×
      vecwide
      		 31,881 540,495 16.95×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 122 15.25×
      bsearch
      		 249.94 5,157 20.63×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 288.33 5,647 19.58×
      heapsort
      		 9.4 166.4 17.70×
      hsearch
      		 7,348 121,929 16.59×
      insertionsort
      		 10.4 96 9.23×
      malloc
      		 1,895,526 34,784,609 18.35×
      mcontend
      		 109.07 6,499 59.58×
      mergesort
      		 26.8 541.17 20.19×
      qsort
      		 20.6 327.38 15.89×
      skiplist
      		 5,439 126,002 23.17×
      tree
      		 1.2 19.18 15.98×
      MemorySingleMultiScaling
      cache
      		 278,828 584,599 2.10×
      cachehammer
      		 352,445 8,714,469 24.73×
      cacheline
      		 60.9 4,093 67.22×
      l1cache
      		 916.39 5,991 6.54×
      memcpy
      		 404.72 6,092 15.05×
      memrate
      		 1.58 12.17 7.70×
      memthrash
      		 237.11 885.76 3.74×
      ptr-chase
      		 10,916,199 278,561,569 25.52×
      spinmem
      		 348.79 2,134 6.12×
      stream
      		 37.4 8,518 227.76×
      vm
      		 108,966 297,006 2.73×

      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.c7.3xlarge 1224 GiB0
      ecs.c7.4xlarge 1632 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.16xlarge 64128 GiB0

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      ecs.c7.8xlarge FAQs