ecs.g7.3xlarge by Alibaba Cloud

ecs.g7.3xlarge is a ecs.g7 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.0831 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11,625
(All-cores)
1,882
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.3xlarge
Description
ecs.g7 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.651662

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.4325 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0831 USD/h 0.4373 USD/h
Hangzhou (CN) / cn-hangzhou
0.0923 USD/h 0.4859 USD/h
Guangzhou (CN) / cn-guangzhou
0.1263 USD/h 0.4859 USD/h
Shanghai (CN) / cn-shanghai
- 0.4859 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4859 USD/h
Virginia (US) / us-east-1
0.1062 USD/h 0.518 USD/h
Frankfurt (DE) / eu-central-1
0.118 USD/h 0.621 USD/h
Tokyo (JP) / ap-northeast-1
0.1273 USD/h 0.67 USD/h
Hong Kong (HK) / cn-hongkong
- 0.7128 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
6.2
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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A balanced general-purpose virtual machine featuring dedicated Intel Xeon processors and 48 GB of RAM for reliable multi-threaded workloads.

      General Purpose

      Alibaba Cloud ecs.g7.3xlarge is a general-purpose virtual machine instance featuring 12 dedicated vCPUs and 48.0 GB of RAM, running on an Intel Xeon 8369B processor at 2.7 GHz. Utilizing the KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-memory ratio but lacks local storage and GPU accelerators. It delivers steady mid-range performance, as evidenced by a Geekbench multi-core score of 7907.0 and a Passmark CPU score of 16288.42. The processor supports AVX-512 and cryptographic accelerations, enabling efficient text processing, software compilation, and database operations, with Redis SET operations reaching 11.74 million per second. With an 8 Gbps baseline network bandwidth, this instance offers a cost-effective, balanced profile for general-purpose workloads such as web serving, application hosting, and microservices, though it exhibits limited efficiency for larger machine learning models.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.83Score
      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) 1,613,368 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,062,081 ops/sec 11,728,058 ops/sec 0.68 20.00% 20.00% -7.40%
      PassMark Memory Mark (composite) 2,441 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 85,700 MB/sec 108,466 MB/sec 0.78 10.00% 10.00% -2.50%
      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: 1,593

      Geekbench Multi-Core

      Score: 7,907

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,288
      Compression
      		 187,297
      Encryption
      		 10,899
      Extended Instructions
      		 10,488
      Floating Point Maths
      		 25,732
      Integer Maths
      		 50,245
      Physics
      		 1,788
      Prime Numbers
      		 91
      Single Threaded
      		 2,357
      String Sorting
      		 26,327

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,441
      Database Operations
      		 5,907
      Memory Latency
      		 58
      Memory Read Cached
      		 24,075
      Memory Read Uncached
      		 11,178
      Memory Write
      		 9,840

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 275.82 332.21 1.20×
      bitops
      		 129,921 797,396 6.14×
      branch
      		 136,969 1,303,451 9.52×
      funccall
      		 631.62 3,896 6.17×
      funcret
      		 11,925 103,956 8.72×
      hash
      		 150,640 1,315,267 8.73×
      intmath
      		 61,143 450,252 7.36×
      nop
      		 189,595 997,763 5.26×
      prime
      		 392,647 2,566,273 6.54×
      rotate
      		 97,630 628,530 6.44×
      str
      		 899,519 5,703,341 6.34×
      wcs
      		 624,001 3,193,512 5.12×
      CryptographySingleMultiScaling
      crypt
      		 2,831 15,818 5.59×
      CompressionSingleMultiScaling
      jpeg
      		 722.1 5,608 7.77×
      zlib
      		 45.03 552.76 12.28×
      HypervisorSingleMultiScaling
      clock
      		 25,742 209,617 8.14×
      clone
      		 612.72 2,784 4.54×
      context
      		 4,803 43,489 9.05×
      cpu-sched
      		 61 778.87 12.77×
      eventfd
      		 112,925 1,080,588 9.57×
      fault
      		 18,279 133,373 7.30×
      fork
      		 5,846 46,089 7.88×
      getrandom
      		 50,975 354,197 6.95×
      hrtimers
      		 163,487 1,703,166 10.42×
      mprotect
      		 1,103,532 3,184,279 2.89×
      mtx
      		 13,401,719 417,607,034 31.16×
      munmap
      		 4,241 31,832 7.51×
      null
      		 796,962 5,877,592 7.37×
      pipe
      		 949,855 6,861,784 7.22×
      priv-instr
      		 825,448 6,225,474 7.54×
      resched
      		 5,412,834 1,723,133 0.32×
      switch
      		 222,637 2,258,386 10.14×
      timermix
      		 345,042 3,585,323 10.39×
      tlb-shootdown
      		 11,055 29,855 2.70×
      tsc
      		 767,060 6,812,799 8.88×
      usersyscall
      		 642,384 4,817,689 7.50×
      vdso
      		 111,884,686 761,829,333 6.81×
      vfork
      		 46,496 208,306 4.48×
      x86syscall
      		 9,096,337 74,331,352 8.17×
      yield
      		 9,878,918 10,318,859 1.04×
      zero
      		 4,621,143 33,495,971 7.25×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,782 114,750 7.76×
      expmath
      		 2,878 25,411 8.83×
      fma
      		 659,156 6,887,399 10.45×
      fp
      		 171.8 1,250 7.28×
      fractal
      		 5 44.2 8.84×
      hyperbolic
      		 3,065 27,304 8.91×
      logmath
      		 4,841 42,135 8.70×
      matrix
      		 3,501 32,281 9.22×
      matrix-3d
      		 742.09 3,037 4.09×
      monte-carlo
      		 258.52 2,068 8.00×
      mpfr
      		 1,405 9,073 6.46×
      powmath
      		 1,682 15,071 8.96×
      trig
      		 1,957 15,013 7.67×
      veccmp
      		 20,173 117,854 5.84×
      vecfp
      		 1,524 11,201 7.35×
      vecmath
      		 3,223 28,060 8.71×
      vecshuf
      		 663.29 4,341 6.54×
      vecwide
      		 31,810 221,619 6.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 48 6.00×
      bsearch
      		 249.31 2,036 8.17×
      bubblesort
      		 1 4.8 4.80×
      fibsearch
      		 287.73 2,148 7.46×
      heapsort
      		 9.2 64.8 7.04×
      hsearch
      		 7,337 49,061 6.69×
      insertionsort
      		 10.4 37.8 3.63×
      malloc
      		 2,650,676 21,038,918 7.94×
      mcontend
      		 141.52 2,508 17.72×
      mergesort
      		 26.8 225.79 8.42×
      qsort
      		 20.6 130.2 6.32×
      skiplist
      		 5,442 48,740 8.96×
      tree
      		 1.6 11.99 7.49×
      MemorySingleMultiScaling
      cache
      		 435,520 577,217 1.33×
      cachehammer
      		 375,373 4,015,403 10.70×
      cacheline
      		 65.16 677.82 10.40×
      l1cache
      		 897.56 2,299 2.56×
      memcpy
      		 406.25 2,406 5.92×
      memrate
      		 1.77 9.34 5.28×
      memthrash
      		 172.41 485.34 2.82×
      ptr-chase
      		 31,989,273 137,258,289 4.29×
      spinmem
      		 354.39 743.56 2.10×
      stream
      		 39.38 2,754 69.93×
      vm
      		 105,684 293,158 2.77×

      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.g7.4xlarge 1664 GiB0
      ecs.g7.6xlarge 2496 GiB0
      ecs.g7.8xlarge 32128 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.3xlarge FAQs