ecs.g7.6xlarge by Alibaba Cloud

ecs.g7.6xlarge is a ecs.g7 family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.1644 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
23,245
(All-cores)
1,836
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.6xlarge
Description
ecs.g7 family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-11-06T01:17:44.852033

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.1644 USD/h 0.865 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2274 USD/h 0.8747 USD/h
Guangzhou (CN) / cn-guangzhou
0.1992 USD/h 0.9718 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9718 USD/h
Shanghai (CN) / cn-shanghai
- 0.9718 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.9718 USD/h
Virginia (US) / us-east-1
0.2281 USD/h 1.037 USD/h
Frankfurt (DE) / eu-central-1
0.2732 USD/h 1.242 USD/h
Tokyo (JP) / ap-northeast-1
0.2946 USD/h 1.339 USD/h
Hong Kong (HK) / cn-hongkong
- 1.4256 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
12.7
Scalability
52.92

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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 balanced general-purpose virtual server featuring dedicated Intel Xeon processors and 96 GB of RAM for enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7.6xlarge is a general-purpose instance featuring 24 dedicated vCPUs and 96.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz on the x86_64 architecture. Operating under the KVM hypervisor, it provides a balanced 4.0 GB of memory per vCPU and a 12 Gbps baseline network bandwidth, though it lacks local storage and GPU accelerators. Benchmark data indicates average performance across standard compute and memory tasks, with a Passmark CPU score of 28981.96 and a Redis SET throughput of 23.41 million operations per second. It exhibits strong performance in lightweight LLM text generation, reaching 282.28 tokens per second on a 135M model. This instance is designed for balanced workloads such as software compilation, database operations, and web serving, offering qualitative resource efficiency by decoupling compute from local storage.

      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) 3,152,570 ops/sec 1,936,298 ops/sec 1.7 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 15,699,923 ops/sec 11,797,257 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 2,705 2,407 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 133,619 MB/sec 108,490 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,357 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,544

      Geekbench Multi-Core

      Score: 11,454

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28,982
      Compression
      		 368,013
      Encryption
      		 21,818
      Extended Instructions
      		 21,163
      Floating Point Maths
      		 51,585
      Integer Maths
      		 100,772
      Physics
      		 2,615
      Prime Numbers
      		 138
      Single Threaded
      		 2,357
      String Sorting
      		 51,242

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,705
      Database Operations
      		 11,535
      Memory Latency
      		 54
      Memory Read Cached
      		 24,208
      Memory Read Uncached
      		 12,073
      Memory Write
      		 11,000

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 276.29 301.44 1.09×
      bitops
      		 129,751 1,595,664 12.30×
      branch
      		 136,953 2,609,167 19.05×
      funccall
      		 633.38 7,763 12.26×
      funcret
      		 11,695 200,424 17.14×
      hash
      		 150,714 2,628,547 17.44×
      intmath
      		 61,184 903,421 14.77×
      nop
      		 189,717 1,994,777 10.51×
      prime
      		 392,904 5,131,434 13.06×
      rotate
      		 97,572 1,257,775 12.89×
      str
      		 900,842 11,066,466 12.28×
      wcs
      		 603,969 6,457,350 10.69×
      CryptographySingleMultiScaling
      crypt
      		 2,828 31,529 11.15×
      CompressionSingleMultiScaling
      jpeg
      		 723.05 10,992 15.20×
      zlib
      		 57.23 1,051 18.37×
      HypervisorSingleMultiScaling
      clock
      		 24,949 320,306 12.84×
      clone
      		 565.16 5,042 8.92×
      context
      		 4,829 87,104 18.04×
      cpu-sched
      		 55.68 1,513 27.18×
      eventfd
      		 113,165 999,294 8.83×
      fault
      		 18,150 227,969 12.56×
      fork
      		 5,715 73,500 12.86×
      getrandom
      		 51,115 708,389 13.86×
      hrtimers
      		 142,903 2,748,300 19.23×
      mprotect
      		 1,136,620 6,325,209 5.56×
      mtx
      		 14,128,135 820,358,769 58.07×
      munmap
      		 4,077 53,400 13.10×
      null
      		 795,792 11,801,192 14.83×
      pipe
      		 999,610 11,917,113 11.92×
      priv-instr
      		 825,230 12,120,673 14.69×
      resched
      		 11,842,748 3,736,258 0.32×
      switch
      		 238,088 4,296,507 18.05×
      timermix
      		 350,612 7,166,188 20.44×
      tlb-shootdown
      		 11,085 49,932 4.50×
      tsc
      		 767,240 13,635,143 17.77×
      usersyscall
      		 641,293 9,474,027 14.77×
      vdso
      		 112,071,552 1,526,704,849 13.62×
      vfork
      		 43,215 211,082 4.88×
      x86syscall
      		 9,104,536 148,812,133 16.34×
      yield
      		 21,078,586 22,243,971 1.06×
      zero
      		 4,624,530 66,297,157 14.34×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,771 229,293 15.52×
      expmath
      		 2,875 50,757 17.65×
      fma
      		 658,324 13,777,120 20.93×
      fp
      		 176.55 2,490 14.11×
      fractal
      		 5 88.41 17.68×
      hyperbolic
      		 3,062 54,675 17.85×
      logmath
      		 4,841 84,376 17.43×
      matrix
      		 3,499 63,051 18.02×
      matrix-3d
      		 771.87 4,548 5.89×
      monte-carlo
      		 258.65 4,247 16.42×
      mpfr
      		 1,407 18,122 12.88×
      powmath
      		 1,684 30,199 17.94×
      trig
      		 1,960 30,029 15.32×
      veccmp
      		 20,175 235,824 11.69×
      vecfp
      		 1,525 22,414 14.70×
      vecmath
      		 3,224 56,161 17.42×
      vecshuf
      		 663.68 8,682 13.08×
      vecwide
      		 31,694 443,236 13.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 96 12.00×
      bsearch
      		 249.91 4,046 16.19×
      bubblesort
      		 1 9.6 9.60×
      fibsearch
      		 287.41 4,301 14.96×
      heapsort
      		 9.4 129.8 13.81×
      hsearch
      		 7,100 99,521 14.02×
      insertionsort
      		 10.4 76.6 7.37×
      malloc
      		 2,516,190 30,590,012 12.16×
      mcontend
      		 123.88 5,019 40.51×
      mergesort
      		 26.8 442.19 16.50×
      qsort
      		 20.6 259.99 12.62×
      skiplist
      		 5,446 97,252 17.86×
      tree
      		 1.6 18.98 11.86×
      MemorySingleMultiScaling
      cache
      		 356,024 579,915 1.63×
      cachehammer
      		 379,814 7,450,293 19.62×
      cacheline
      		 87.75 1,481 16.87×
      l1cache
      		 898.21 4,568 5.09×
      memcpy
      		 406.56 4,811 11.83×
      memrate
      		 1.78 13.89 7.80×
      memthrash
      		 244.48 853.39 3.49×
      ptr-chase
      		 26,213,300 241,700,068 9.22×
      spinmem
      		 354.39 1,569 4.43×
      stream
      		 40.74 7,083 173.85×
      vm
      		 115,694 295,681 2.56×

      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.g7.large 28 GiB0
      ecs.g7.xlarge 416 GiB0
      ecs.g7.2xlarge 832 GiB0
      ecs.g7.3xlarge 1248 GiB0
      ecs.g7.4xlarge 1664 GiB0
      ecs.g7.8xlarge 32128 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.6xlarge FAQs