ecs.c7.6xlarge by Alibaba Cloud

ecs.c7.6xlarge is a ecs.c7 family (24 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.155 USD per hour.
24 vCPU
48 GiB Memory
Spare SCore
23,298
(All-cores)
1,884
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.6xlarge
Description
ecs.c7 family (24 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.082234

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.155 USD/h 0.674 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1772 USD/h 0.6815 USD/h
Guangzhou (CN) / cn-guangzhou
0.1666 USD/h 0.7572 USD/h
Hangzhou (CN) / cn-hangzhou
0.1666 USD/h 0.7572 USD/h
Shanghai (CN) / cn-shanghai
0.1666 USD/h 0.7572 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.7572 USD/h
Virginia (US) / us-east-1
0.179 USD/h 0.918 USD/h
Frankfurt (DE) / eu-central-1
0.1991 USD/h 1.048 USD/h
Tokyo (JP) / ap-northeast-1
0.2196 USD/h 1.156 USD/h
Hong Kong (HK) / cn-hongkong
0.2216 USD/h 1.1664 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
15 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
12.4
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized virtual server featuring dedicated Intel Xeon processors and a balanced memory-to-CPU ratio for high-throughput processing.

      Compute Optimized

      Alibaba Cloud ecs.c7.6xlarge is a compute-optimized virtual server instance utilizing the KVM hypervisor and x86_64 architecture. It is equipped with 24 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.7 GHz, paired with 48 GB of RAM. This configuration establishes a compute-focused 2.0 GB of memory per vCPU. The instance lacks local storage and GPU hardware, but features a baseline network bandwidth of 12 Gbps. Benchmark results indicate average performance across CPU and memory tests, with a notable strength in text generation for small language models, achieving 298.93 tokens per second. The lack of local storage represents a tradeoff, requiring network-attached volumes. This instance is qualitatively cost-efficient for compute-heavy workloads, making it well-suited for software compilation, web serving, and multi-threaded data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,164,091 ops/sec 1,919,289 ops/sec 1.7 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 16,000,364 ops/sec 11,728,058 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 2,688 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 134,410 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,369 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,566

      Geekbench Multi-Core

      Score: 11,562

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29,355
      Compression
      		 368,064
      Encryption
      		 21,933
      Extended Instructions
      		 21,234
      Floating Point Maths
      		 51,686
      Integer Maths
      		 101,073
      Physics
      		 2,841
      Prime Numbers
      		 160
      Single Threaded
      		 2,369
      String Sorting
      		 51,486

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,688
      Database Operations
      		 11,594
      Memory Latency
      		 52
      Memory Read Cached
      		 24,252
      Memory Read Uncached
      		 11,969
      Memory Write
      		 11,013

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 267.05 301.6 1.13×
      bitops
      		 130,058 1,599,974 12.30×
      branch
      		 137,372 2,618,226 19.06×
      funccall
      		 634.89 7,796 12.28×
      funcret
      		 11,789 206,449 17.51×
      hash
      		 151,237 2,636,019 17.43×
      intmath
      		 61,351 905,472 14.76×
      nop
      		 190,006 2,002,804 10.54×
      prime
      		 394,368 5,125,065 13.00×
      rotate
      		 97,924 1,245,807 12.72×
      str
      		 885,817 11,427,184 12.90×
      wcs
      		 611,903 6,390,709 10.44×
      CryptographySingleMultiScaling
      crypt
      		 2,837 31,668 11.16×
      CompressionSingleMultiScaling
      jpeg
      		 725.96 11,198 15.43×
      zlib
      		 52.36 1,112 21.24×
      HypervisorSingleMultiScaling
      clock
      		 25,057 316,660 12.64×
      clone
      		 587.79 5,226 8.89×
      context
      		 4,837 87,297 18.05×
      cpu-sched
      		 60.73 1,537 25.31×
      eventfd
      		 106,736 1,009,945 9.46×
      fault
      		 18,397 229,376 12.47×
      fork
      		 5,726 74,583 13.02×
      getrandom
      		 51,034 709,687 13.91×
      hrtimers
      		 553,432 2,559,879 4.63×
      mprotect
      		 1,184,577 6,316,642 5.33×
      mtx
      		 13,977,118 796,543,299 56.99×
      munmap
      		 4,109 53,490 13.02×
      null
      		 800,905 11,784,185 14.71×
      pipe
      		 1,126,656 14,127,445 12.54×
      priv-instr
      		 820,937 12,119,914 14.76×
      resched
      		 11,934,802 3,682,996 0.31×
      switch
      		 201,782 4,262,995 21.13×
      timermix
      		 365,014 7,239,544 19.83×
      tlb-shootdown
      		 14,321 52,786 3.69×
      tsc
      		 769,242 13,671,556 17.77×
      usersyscall
      		 641,489 9,548,268 14.88×
      vdso
      		 112,134,602 1,529,886,419 13.64×
      vfork
      		 43,618 215,887 4.95×
      x86syscall
      		 9,121,559 149,393,642 16.38×
      yield
      		 21,316,325 22,938,747 1.08×
      zero
      		 4,583,760 65,556,017 14.30×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,822 231,831 15.64×
      expmath
      		 2,883 50,873 17.64×
      fma
      		 660,901 13,814,585 20.90×
      fp
      		 200.01 2,487 12.44×
      fractal
      		 5 88.6 17.72×
      hyperbolic
      		 3,069 54,760 17.84×
      logmath
      		 4,854 84,512 17.41×
      matrix
      		 3,532 65,474 18.54×
      matrix-3d
      		 795.33 4,533 5.70×
      monte-carlo
      		 258.71 4,181 16.16×
      mpfr
      		 1,412 18,096 12.82×
      powmath
      		 1,689 30,258 17.92×
      trig
      		 1,965 30,112 15.32×
      veccmp
      		 20,225 236,292 11.68×
      vecfp
      		 1,528 22,429 14.67×
      vecmath
      		 3,233 56,273 17.41×
      vecshuf
      		 665.7 8,701 13.07×
      vecwide
      		 31,908 446,458 13.99×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 96.6 12.07×
      bsearch
      		 249.25 4,074 16.35×
      bubblesort
      		 1 9.6 9.60×
      fibsearch
      		 288.34 4,399 15.26×
      heapsort
      		 9.4 129.8 13.81×
      hsearch
      		 7,115 99,467 13.98×
      insertionsort
      		 10.6 76.6 7.23×
      malloc
      		 2,546,254 30,273,455 11.89×
      mcontend
      		 131.25 4,969 37.86×
      mergesort
      		 26.8 448.98 16.75×
      qsort
      		 20.8 259.79 12.49×
      skiplist
      		 5,452 97,850 17.95×
      tree
      		 1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      		 374,326 605,415 1.62×
      cachehammer
      		 373,770 7,562,831 20.23×
      cacheline
      		 88.51 1,418 16.02×
      l1cache
      		 900.96 4,558 5.06×
      memcpy
      		 406.49 4,818 11.85×
      memrate
      		 1.78 13.82 7.76×
      memthrash
      		 224.52 852.53 3.80×
      ptr-chase
      		 28,768,747 245,852,576 8.55×
      spinmem
      		 351.99 1,608 4.57×
      stream
      		 40.85 7,155 175.16×
      vm
      		 115,063 295,704 2.57×

      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.c7.8xlarge 3264 GiB0
      ecs.c7.16xlarge 64128 GiB0

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