ecs.vgn6i-m16-vws.5xlarge by Alibaba Cloud

ecs.vgn6i-m16-vws.5xlarge is a ecs.vgn6i-vws family (20 vCPUs, 92 GiB RAM, 0 GB storage, 1xT4 16384 GiB VRAM) server offered by Alibaba Cloud with 20 vCPUs, 92 GiB of memory and 0 GB of storage. The pricing starts at 0.2368 USD per hour.
20 vCPU
92 GiB Memory
1 GPU
Spare SCore
14,732
(All-cores)
1,105
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.vgn6i-m16-vws.5xlarge
Description
ecs.vgn6i-vws family (20 vCPUs, 92 GiB RAM, 0 GB storage, 1xT4 16384 GiB VRAM)
Family
ecs.vgn6i-vws
Hw Virt
Average Time To Start
20
Status
active
Observed At
2026-10-28T23:18:20.657549

Availability

REGION / IDSPOTONDEMAND
Zhangjiakou (CN) / cn-zhangjiakou
0.2368 USD/h 1.579 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.731 USD/h
Beijing (CN) / cn-beijing
- 1.7314 USD/h
Shanghai (CN) / cn-shanghai
- 1.732 USD/h

Processor

vCPUs
20
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
10
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
320 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
320 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, 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, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
13.3
Scalability
66.5

System Resources and Accelerators

MEMORY
Memory Amount
92 GiB
Memory Amount Actual
92 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
16 GiB
Accelerator Memory Total
16 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Model
T4
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      7.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A GPU-accelerated virtual instance featuring dedicated Intel Xeon processors and an NVIDIA T4 GPU for multi-threaded and graphics-intensive workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.vgn6i-m16-vws.5xlarge is a GPU-accelerated virtual server designed for workloads requiring dedicated graphics processing and balanced system resources. Built on the x86_64 architecture, it features 20 dedicated vCPUs powered by an Intel Xeon 8163 processor running at 2.5 GHz, alongside 92.0 GB of RAM. The instance includes a bundled NVIDIA T4 GPU with 16 GB of VRAM, though it lacks local storage. Network performance is anchored by an 8 Gbps baseline bandwidth. Benchmark data reveals average multi-core CPU and memory bandwidth performance, contrasting with weaker single-core processing capabilities. This hardware profile makes the instance highly suitable for virtual workstations, image processing, multi-threaded database operations, and 3D ray tracing workloads that benefit from GPU acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.79Score
      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) 1,559,279 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 9,053,062 ops/sec 11,728,058 ops/sec 0.76 20.00% 20.00% -5.30%
      PassMark Memory Mark (composite) 1,804 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 84,673 MB/sec 108,466 MB/sec 0.77 10.00% 10.00% -2.60%
      PassMark single-thread CPU 1,664 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      GPU Bandwidth and Latency

      Node (all GPUs)
      Node baseline directional bandwidth
      11.2 GB/s
      Node GPU-to-host bandwidth
      13.2 GB/s
      Node host-to-GPU bandwidth
      12.4 GB/s
      Single GPU slot
      Per-GPU GPU-to-host bandwidth
      13.2 GB/s
      Per-GPU host-to-GPU bandwidth
      12.4 GB/s
      Per-GPU host-device latency
      989 ns
      Benchmark Environment
      Driver Version
      470.256.03
      CUDA Runtime Version
      12.6
      nvbandwidth Version
      v0.8
      GPU Count
      1
      P2P Supported
      No
      Efficiency
      SM/CE copy efficiency
      1.00

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 929

      Geekbench Multi-Core

      Score: 6,611

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      15,714
      Compression
      227,848
      Encryption
      6,815
      Extended Instructions
      14,909
      Floating Point Maths
      26,423
      Integer Maths
      49,197
      Physics
      1,502
      Prime Numbers
      80
      Single Threaded
      1,664
      String Sorting
      29,741

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,804
      Database Operations
      5,395
      Memory Latency
      78
      Memory Read Cached
      19,459
      Memory Read Uncached
      6,421
      Memory Write
      6,928

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      182.52 164.02 0.90×
      bitops
      99,943 1,102,852 11.03×
      branch
      121,984 1,852,022 15.18×
      funccall
      448.58 4,725 10.53×
      funcret
      9,190 132,387 14.41×
      hash
      103,187 1,526,832 14.80×
      intmath
      17,891 269,483 15.06×
      nop
      151,383 1,309,334 8.65×
      prime
      260,834 2,906,960 11.14×
      rotate
      76,508 973,388 12.72×
      str
      633,059 8,364,945 13.21×
      wcs
      417,553 4,592,498 11.00×
      CryptographySingleMultiScaling
      crypt
      1,931 18,844 9.76×
      CompressionSingleMultiScaling
      jpeg
      474.93 5,950 12.53×
      zlib
      39.85 650.36 16.32×
      HypervisorSingleMultiScaling
      clock
      14,862 188,239 12.67×
      clone
      390.83 3,422 8.76×
      context
      1,580 21,286 13.48×
      cpu-sched
      59.25 1,307 22.06×
      eventfd
      69,726 824,140 11.82×
      fault
      10,531 131,042 12.44×
      fork
      3,225 38,425 11.92×
      getrandom
      35,817 443,258 12.38×
      hrtimers
      132,444 1,817,819 13.73×
      mprotect
      923,990 2,443,532 2.64×
      mtx
      11,265,766 364,870,263 32.39×
      munmap
      2,348 28,618 12.19×
      null
      168,624 2,108,987 12.51×
      pipe
      797,064 4,884,115 6.13×
      priv-instr
      335,244 4,503,821 13.43×
      resched
      3,394,882 1,811,302 0.53×
      switch
      206,812 2,004,392 9.69×
      timermix
      337,599 4,528,892 13.41×
      tlb-shootdown
      9,381 37,367 3.98×
      tsc
      787,954 10,934,616 13.88×
      usersyscall
      249,266 3,180,001 12.76×
      vdso
      62,734,038 939,072,820 14.97×
      vfork
      23,335 172,460 7.39×
      x86syscall
      1,922,379 24,223,474 12.60×
      yield
      8,332,003 8,676,344 1.04×
      zero
      1,293,904 15,142,226 11.70×
      CPU float/SIMDSingleMultiScaling
      eigen
      12,913 166,851 12.92×
      expmath
      2,130 32,540 15.28×
      fma
      478,694 8,286,717 17.31×
      fp
      132 1,959 14.84×
      fractal
      4.2 61.01 14.53×
      hyperbolic
      2,202 34,613 15.72×
      logmath
      3,613 54,493 15.08×
      matrix
      2,376 38,393 16.16×
      matrix-3d
      577.38 3,322 5.75×
      monte-carlo
      86.01 1,251 14.55×
      mpfr
      967.18 10,479 10.83×
      powmath
      1,256 19,202 15.28×
      trig
      1,359 18,378 13.53×
      veccmp
      12,122 121,107 9.99×
      vecfp
      1,759 21,754 12.37×
      vecmath
      1,658 26,482 15.98×
      vecshuf
      743.72 8,040 10.81×
      vecwide
      44,762 529,086 11.82×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.6 64.8 11.57×
      bsearch
      196.6 2,254 11.47×
      bubblesort
      0.6 4 6.67×
      fibsearch
      222.15 2,796 12.59×
      heapsort
      6.6 81.2 12.30×
      hsearch
      4,057 49,930 12.31×
      insertionsort
      6.4 64 10.00×
      malloc
      1,680,842 20,940,903 12.46×
      mcontend
      100.48 3,396 33.80×
      mergesort
      21.2 275.19 12.98×
      qsort
      15 183.2 12.21×
      skiplist
      4,149 58,953 14.21×
      tree
      1.2 8.19 6.83×
      MemorySingleMultiScaling
      cache
      269,121 459,421 1.71×
      cachehammer
      248,227 4,306,505 17.35×
      cacheline
      29.76 581.33 19.53×
      l1cache
      179.55 1,937 10.79×
      memcpy
      302.4 3,060 10.12×
      memrate
      0.97 7.52 7.75×
      memthrash
      191.04 597.62 3.13×
      ptr-chase
      30,752,572 153,104,522 4.98×
      spinmem
      284.79 1,179 4.14×
      stream
      35.19 6,228 176.98×
      vm
      29,795 293,467 9.85×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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