ecs.g7t.3xlarge by Alibaba Cloud

ecs.g7t.3xlarge is a ecs.g7t 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 0.5607 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11,647
(All-cores)
1,881
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7t.3xlarge
Description
ecs.g7t family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.g7t
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.526059

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.5607 USD/h
Shanghai (CN) / cn-shanghai
- 0.5607 USD/h
Jakarta (ID) / ap-southeast-5
- 0.68 USD/h
Hong Kong (HK) / cn-hongkong
- 0.748 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, sgx, 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, sgx_lc, fsrm, arch_capabilities
Ecpus
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
24 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 x86 virtual server with dedicated Intel Xeon processors and 48 GB of memory for general-purpose computing workloads.

      General Purpose

      Alibaba Cloud ecs.g7t.3xlarge is a general-purpose virtual server built on the x86_64 architecture and managed via the KVM hypervisor. It features 12 dedicated vCPUs from 6 physical Intel Xeon 8369B cores running at 2.7 GHz, paired with 48.0 GB of RAM. The instance does not include local storage or GPU hardware, relying on external storage and offering a baseline network bandwidth of 8 Gbps. Performance benchmarks place the server in the average tier, with a Geekbench multi-core score of 7934.0 and a Redis SET throughput of 12.02 million operations per second. It is well-suited for balanced workloads such as static web serving, software compilation, and database operations. However, it exhibits weak performance on larger language model inference tasks, making it less suitable for complex AI workloads.

      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) 1,577,728 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,366,532 ops/sec 11,728,058 ops/sec 0.7 20.00% 20.00% -6.90%
      PassMark Memory Mark (composite) 2,321 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 82,467 MB/sec 108,466 MB/sec 0.75 10.00% 10.00% -2.80%
      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: 1,600

      Geekbench Multi-Core

      Score: 7,934

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,461
      Compression
      		 186,566
      Encryption
      		 10,975
      Extended Instructions
      		 10,543
      Floating Point Maths
      		 25,831
      Integer Maths
      		 50,515
      Physics
      		 1,848
      Prime Numbers
      		 108
      Single Threaded
      		 2,369
      String Sorting
      		 26,385

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,321
      Database Operations
      		 5,838
      Memory Latency
      		 61
      Memory Read Cached
      		 24,226
      Memory Read Uncached
      		 11,704
      Memory Write
      		 10,964

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 267.36 328.62 1.23×
      bitops
      		 130,308 799,433 6.13×
      branch
      		 137,420 1,309,262 9.53×
      funccall
      		 636 3,906 6.14×
      funcret
      		 11,880 106,997 9.01×
      hash
      		 151,072 1,318,340 8.73×
      intmath
      		 61,348 451,857 7.37×
      nop
      		 189,245 999,213 5.28×
      prime
      		 393,910 2,574,219 6.54×
      rotate
      		 97,925 623,198 6.36×
      str
      		 894,332 5,552,332 6.21×
      wcs
      		 605,969 3,192,218 5.27×
      CryptographySingleMultiScaling
      crypt
      		 2,840 15,835 5.57×
      CompressionSingleMultiScaling
      jpeg
      		 702.49 5,599 7.97×
      zlib
      		 54.59 548.17 10.04×
      HypervisorSingleMultiScaling
      clock
      		 25,880 199,618 7.71×
      clone
      		 619.75 2,792 4.51×
      context
      		 4,840 43,653 9.02×
      cpu-sched
      		 66.12 749.68 11.34×
      eventfd
      		 109,514 1,040,517 9.50×
      fault
      		 18,538 130,074 7.02×
      fork
      		 5,950 45,804 7.70×
      getrandom
      		 51,130 355,009 6.94×
      hrtimers
      		 151,159 1,739,851 11.51×
      mprotect
      		 1,126,238 3,206,337 2.85×
      mtx
      		 10,447,702 414,266,255 39.65×
      munmap
      		 4,291 31,535 7.35×
      null
      		 801,008 5,918,744 7.39×
      pipe
      		 1,022,127 6,730,652 6.58×
      priv-instr
      		 828,258 6,134,970 7.41×
      resched
      		 5,423,438 1,764,231 0.33×
      switch
      		 205,052 2,163,731 10.55×
      timermix
      		 357,173 3,618,224 10.13×
      tlb-shootdown
      		 11,438 30,714 2.69×
      tsc
      		 769,432 6,832,258 8.88×
      usersyscall
      		 644,480 4,772,687 7.41×
      vdso
      		 112,214,762 763,467,216 6.80×
      vfork
      		 47,556 209,987 4.42×
      x86syscall
      		 9,106,951 74,439,188 8.17×
      yield
      		 9,648,029 11,081,467 1.15×
      zero
      		 4,639,041 33,636,328 7.25×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,825 114,657 7.73×
      expmath
      		 2,872 25,493 8.88×
      fma
      		 660,982 6,906,179 10.45×
      fp
      		 170.4 1,221 7.16×
      fractal
      		 5 44.4 8.88×
      hyperbolic
      		 3,075 27,382 8.91×
      logmath
      		 4,851 42,265 8.71×
      matrix
      		 3,501 33,237 9.49×
      matrix-3d
      		 819.88 3,030 3.70×
      monte-carlo
      		 258.79 2,129 8.23×
      mpfr
      		 1,405 9,056 6.45×
      powmath
      		 1,686 15,138 8.98×
      trig
      		 1,967 15,043 7.65×
      veccmp
      		 20,207 118,098 5.84×
      vecfp
      		 1,529 11,225 7.34×
      vecmath
      		 3,233 28,131 8.70×
      vecshuf
      		 665.78 4,350 6.53×
      vecwide
      		 31,805 221,677 6.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 48 6.00×
      bsearch
      		 249.56 2,030 8.13×
      bubblesort
      		 1 4.8 4.80×
      fibsearch
      		 288.56 2,153 7.46×
      heapsort
      		 9.4 64.8 6.89×
      hsearch
      		 7,349 48,935 6.66×
      insertionsort
      		 10.4 38.2 3.67×
      malloc
      		 2,699,939 21,575,533 7.99×
      mcontend
      		 139.84 2,496 17.85×
      mergesort
      		 26.8 224.99 8.40×
      qsort
      		 20.8 130.4 6.27×
      skiplist
      		 5,463 48,801 8.93×
      tree
      		 1.6 11.99 7.49×
      MemorySingleMultiScaling
      cache
      		 437,261 886,752 2.03×
      cachehammer
      		 362,953 3,798,654 10.47×
      cacheline
      		 54.72 664.15 12.14×
      l1cache
      		 917.97 2,280 2.48×
      memcpy
      		 406.73 2,401 5.90×
      memrate
      		 1.78 9.33 5.24×
      memthrash
      		 211.62 491.9 2.32×
      ptr-chase
      		 36,035,743 127,859,891 3.55×
      spinmem
      		 363.39 776.88 2.14×
      stream
      		 40.63 2,739 67.41×
      vm
      		 109,610 293,029 2.67×

      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.g7t.large 28 GiB0
      ecs.g7t.xlarge 416 GiB0
      ecs.g7t.2xlarge 832 GiB0
      ecs.g7t.4xlarge 1664 GiB0
      ecs.g7t.6xlarge 2496 GiB0
      ecs.g7t.8xlarge 32128 GiB0
      ecs.g7t.16xlarge 64256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.g7t.3xlarge FAQs