ecs.g7t.4xlarge by Alibaba Cloud

ecs.g7t.4xlarge is a ecs.g7t family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.7476 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15,532
(All-cores)
1,881
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7t.4xlarge
Description
ecs.g7t family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g7t
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.226124

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.7476 USD/h
Shanghai (CN) / cn-shanghai
- 0.7476 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.7476 USD/h
Jakarta (ID) / ap-southeast-5
- 0.907 USD/h
Hong Kong (HK) / cn-hongkong
- 0.998 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
32 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86_64 server with balanced compute and memory resources, optimized for web serving, database tasks, and software compilation.

      General Purpose

      Alibaba Cloud ecs.g7t.4xlarge is a general-purpose instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Built on the x86_64 architecture with a KVM hypervisor, this instance provides a balanced 4.0 GB of memory per core but does not include local storage or GPU accelerators. It features a baseline network bandwidth of 10 Gbps. Benchmark results show a Passmark CPU score of 20920.78 and a Redis SET throughput of 15.69 million operations per second. The CPU supports AVX-512 and cryptographic instructions, enabling efficient execution of text processing, software compilation, and web serving. With its dedicated resource allocation and balanced compute-to-memory ratio, the ecs.g7t.4xlarge is suited for general-purpose applications, database operations, and moderate-scale web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,101,878 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 11,039,646 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,136 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 101,961 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,367 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,603

      Geekbench Multi-Core

      Score: 9,721

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20,921
      Compression
      		 246,257
      Encryption
      		 14,623
      Extended Instructions
      		 14,111
      Floating Point Maths
      		 34,454
      Integer Maths
      		 67,380
      Physics
      		 1,893
      Prime Numbers
      		 132
      Single Threaded
      		 2,367
      String Sorting
      		 34,258

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,136
      Database Operations
      		 7,510
      Memory Latency
      		 62
      Memory Read Cached
      		 24,204
      Memory Read Uncached
      		 8,306
      Memory Write
      		 8,290

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 267.56 314.54 1.18×
      bitops
      		 130,172 1,066,013 8.19×
      branch
      		 137,431 1,746,067 12.71×
      funccall
      		 634.67 5,197 8.19×
      funcret
      		 11,865 140,274 11.82×
      hash
      		 151,045 1,758,023 11.64×
      intmath
      		 61,351 603,626 9.84×
      nop
      		 190,201 1,332,376 7.01×
      prime
      		 394,580 3,420,096 8.67×
      rotate
      		 97,938 830,084 8.48×
      str
      		 870,622 7,624,570 8.76×
      wcs
      		 618,983 4,238,302 6.85×
      CryptographySingleMultiScaling
      crypt
      		 2,839 21,112 7.44×
      CompressionSingleMultiScaling
      jpeg
      		 722.67 7,435 10.29×
      zlib
      		 80.09 685.78 8.56×
      HypervisorSingleMultiScaling
      clock
      		 25,641 243,892 9.51×
      clone
      		 574.6 3,552 6.18×
      context
      		 4,832 58,105 12.02×
      cpu-sched
      		 59.4 1,038 17.47×
      eventfd
      		 115,562 727,275 6.29×
      fault
      		 18,500 166,574 9.00×
      fork
      		 5,918 54,381 9.19×
      getrandom
      		 51,203 473,287 9.24×
      hrtimers
      		 569,175 2,160,289 3.80×
      mprotect
      		 1,178,017 4,251,384 3.61×
      mtx
      		 13,881,100 526,953,471 37.96×
      munmap
      		 4,272 40,633 9.51×
      null
      		 801,646 7,895,413 9.85×
      pipe
      		 1,113,097 8,829,470 7.93×
      priv-instr
      		 821,845 8,226,686 10.01×
      resched
      		 7,745,749 2,442,248 0.32×
      switch
      		 202,872 2,807,138 13.84×
      timermix
      		 347,124 4,798,966 13.82×
      tlb-shootdown
      		 11,566 39,013 3.37×
      tsc
      		 769,433 9,114,259 11.85×
      usersyscall
      		 644,954 6,364,670 9.87×
      vdso
      		 112,439,468 1,020,475,559 9.08×
      vfork
      		 47,711 236,664 4.96×
      x86syscall
      		 9,115,282 99,536,550 10.92×
      yield
      		 13,641,648 14,672,462 1.08×
      zero
      		 4,636,370 44,579,249 9.62×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,825 153,577 10.36×
      expmath
      		 2,893 33,963 11.74×
      fma
      		 660,948 9,208,228 13.93×
      fp
      		 186.47 1,624 8.71×
      fractal
      		 5 59 11.80×
      hyperbolic
      		 3,074 36,528 11.88×
      logmath
      		 4,858 56,389 11.61×
      matrix
      		 3,505 43,880 12.52×
      matrix-3d
      		 763.56 3,669 4.81×
      monte-carlo
      		 258.66 2,792 10.79×
      mpfr
      		 1,412 12,076 8.55×
      powmath
      		 1,689 20,188 11.96×
      trig
      		 1,966 20,076 10.21×
      veccmp
      		 20,168 157,515 7.81×
      vecfp
      		 1,528 14,938 9.78×
      vecmath
      		 3,234 37,513 11.60×
      vecshuf
      		 665.44 5,804 8.72×
      vecwide
      		 31,930 296,455 9.28×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64 8.00×
      bsearch
      		 249.87 2,684 10.74×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 288.52 2,888 10.01×
      heapsort
      		 9.4 86.4 9.19×
      hsearch
      		 7,352 65,514 8.91×
      insertionsort
      		 10.4 51.2 4.92×
      malloc
      		 2,647,703 24,568,592 9.28×
      mcontend
      		 139.62 3,242 23.22×
      mergesort
      		 26.8 300.99 11.23×
      qsort
      		 20.8 173.6 8.35×
      skiplist
      		 5,439 64,421 11.85×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 437,616 666,244 1.52×
      cachehammer
      		 360,629 4,980,233 13.81×
      cacheline
      		 60.11 1,046 17.40×
      l1cache
      		 918.25 3,053 3.32×
      memcpy
      		 407.31 3,210 7.88×
      memrate
      		 1.78 9.29 5.22×
      memthrash
      		 236.79 637.79 2.69×
      ptr-chase
      		 36,002,618 158,504,590 4.40×
      spinmem
      		 347.39 1,128 3.25×
      stream
      		 41.21 4,195 101.79×
      vm
      		 112,815 293,929 2.61×

      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.3xlarge 1248 GiB0
      ecs.g7t.6xlarge 2496 GiB0
      ecs.g7t.8xlarge 32128 GiB0
      ecs.g7t.16xlarge 64256 GiB0

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      ecs.g7t.4xlarge FAQs