ecs.vgn6i-m8-vws.2xlarge by Alibaba Cloud

ecs.vgn6i-m8-vws.2xlarge is a ecs.vgn6i-vws family (10 vCPUs, 46 GiB RAM, 0 GB storage, 0.5xT4 8192 GiB VRAM) server offered by Alibaba Cloud with 10 vCPUs, 46 GiB of memory and 0 GB of storage. The pricing starts at 0.1235 USD per hour.
10 vCPU
46 GiB Memory
0.5 GPU
Spare SCore
7,391
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.vgn6i-m8-vws.2xlarge
Description
ecs.vgn6i-vws family (10 vCPUs, 46 GiB RAM, 0 GB storage, 0.5xT4 8192 GiB VRAM)
Family
ecs.vgn6i-vws
Hw Virt
Average Time To Start
19
Status
active
Observed At
2026-10-29T02:39:22.929707

Availability

REGION / IDSPOTONDEMAND
Zhangjiakou (CN) / cn-zhangjiakou
0.1235 USD/h 0.8232 USD/h
Beijing (CN) / cn-beijing
- 0.9146 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9146 USD/h
Shanghai (CN) / cn-shanghai
- 0.9146 USD/h

Processor

vCPUs
10
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
5
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
160 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
160 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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
6.7
Scalability
67

System Resources and Accelerators

MEMORY
Memory Amount
46 GiB
Memory Amount Actual
46 GiB
ACCELERATORS
Accelerator Count
0.5
Accelerator Memory Min
8 GiB
Accelerator Memory Total
8 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Model
T4
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A budget-friendly virtual server combining dedicated Intel Xeon processors with fractional NVIDIA T4 GPU acceleration for entry-level parallel computing.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.vgn6i-m8-vws.2xlarge is a GPU-accelerated virtual server instance running on the KVM hypervisor. It is equipped with an Intel Xeon 8163 processor featuring 10 dedicated vCPUs, 5 physical cores, and 46.0 GB of RAM. The instance includes a fractional NVIDIA T4 GPU (0.5x) with 8 GB of VRAM, but lacks local storage, utilizing a 4 Gbps baseline network bandwidth instead. Benchmark results indicate weak single-core CPU performance, while multi-core capabilities and memory bandwidth remain average. The hardware supports AVX and AVX512F instructions but lacks newer VNNI and AMX extensions. This server is qualitatively cost-efficient for workloads requiring moderate GPU acceleration without the cost of a full GPU. It is best suited for light LLM inference on small models, image processing, ray tracing, and general-purpose tasks requiring hardware acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.47Score
      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) 815,841 ops/sec 1,919,289 ops/sec 0.43 50.00% 50.00% -34.00%
      Redis RPS (pipeline=16, SET) 4,597,243 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 1,775 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 53,453 MB/sec 108,466 MB/sec 0.48 10.00% 10.00% -7.10%
      PassMark single-thread CPU 1,666 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
      9.1 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
      2,043 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
      0.46

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 913

      Geekbench Multi-Core

      Score: 4,242

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      8,590
      Compression
      114,462
      Encryption
      3,423
      Extended Instructions
      7,415
      Floating Point Maths
      13,263
      Integer Maths
      24,708
      Physics
      906
      Prime Numbers
      52
      Single Threaded
      1,666
      String Sorting
      15,056

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,775
      Database Operations
      2,766
      Memory Latency
      78
      Memory Read Cached
      19,553
      Memory Read Uncached
      7,135
      Memory Write
      7,732

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      174.05 170.77 0.98×
      bitops
      100,461 554,715 5.52×
      branch
      122,496 928,376 7.58×
      funccall
      450.78 2,362 5.24×
      funcret
      9,161 66,498 7.26×
      hash
      104,003 771,311 7.42×
      intmath
      17,921 136,094 7.59×
      nop
      151,992 658,129 4.33×
      prime
      260,553 1,463,761 5.62×
      rotate
      76,832 488,521 6.36×
      str
      660,004 4,060,289 6.15×
      wcs
      414,966 2,301,188 5.55×
      CryptographySingleMultiScaling
      crypt
      1,938 9,458 4.88×
      CompressionSingleMultiScaling
      jpeg
      494.23 3,087 6.25×
      zlib
      54.61 351.7 6.44×
      HypervisorSingleMultiScaling
      clock
      15,273 104,266 6.83×
      clone
      387.18 1,820 4.70×
      context
      1,592 10,756 6.76×
      cpu-sched
      57.59 653.84 11.35×
      eventfd
      73,818 473,411 6.41×
      fault
      10,933 71,296 6.52×
      fork
      3,428 23,783 6.94×
      getrandom
      35,829 222,350 6.21×
      hrtimers
      471,760 975,522 2.07×
      mprotect
      785,082 1,258,449 1.60×
      mtx
      11,088,846 223,174,245 20.13×
      munmap
      2,461 15,985 6.49×
      null
      171,729 1,073,388 6.25×
      pipe
      754,000 2,474,661 3.28×
      priv-instr
      355,987 2,346,653 6.59×
      resched
      1,837,237 740,052 0.40×
      switch
      166,106 1,057,565 6.37×
      timermix
      353,595 2,410,797 6.82×
      tlb-shootdown
      9,378 21,768 2.32×
      tsc
      791,719 5,559,309 7.02×
      usersyscall
      251,422 1,638,997 6.52×
      vdso
      63,914,090 569,728,329 8.91×
      vfork
      25,729 120,765 4.69×
      x86syscall
      1,947,187 12,294,351 6.31×
      yield
      4,473,130 4,497,792 1.01×
      zero
      1,287,804 7,601,551 5.90×
      CPU float/SIMDSingleMultiScaling
      eigen
      12,945 83,579 6.46×
      expmath
      2,121 16,283 7.68×
      fma
      480,631 4,166,171 8.67×
      fp
      132 982.3 7.44×
      fractal
      4.2 30.8 7.33×
      hyperbolic
      2,189 17,444 7.97×
      logmath
      3,628 27,347 7.54×
      matrix
      2,404 19,450 8.09×
      matrix-3d
      527.84 1,873 3.55×
      monte-carlo
      86.22 631.23 7.32×
      mpfr
      972.94 5,265 5.41×
      powmath
      1,262 9,663 7.65×
      trig
      1,362 9,244 6.79×
      veccmp
      12,221 61,001 4.99×
      vecfp
      1,765 10,946 6.20×
      vecmath
      1,665 13,288 7.98×
      vecshuf
      746.22 4,023 5.39×
      vecwide
      45,043 265,758 5.90×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.8 33.8 5.83×
      bsearch
      198.49 1,135 5.72×
      bubblesort
      0.6 2 3.33×
      fibsearch
      223.37 1,378 6.17×
      heapsort
      6.6 41 6.21×
      hsearch
      3,987 24,709 6.20×
      insertionsort
      6.4 32 5.00×
      malloc
      1,649,043 14,258,337 8.65×
      mcontend
      134.05 2,294 17.11×
      mergesort
      21.4 139.8 6.53×
      qsort
      15 93.4 6.23×
      skiplist
      4,168 29,275 7.02×
      tree
      1.2 6 5.00×
      MemorySingleMultiScaling
      cache
      253,845 485,641 1.91×
      cachehammer
      246,937 2,228,438 9.02×
      cacheline
      27.92 301.19 10.79×
      l1cache
      176.91 974.47 5.51×
      memcpy
      304.29 1,537 5.05×
      memrate
      0.97 5.71 5.89×
      memthrash
      110.68 313.04 2.83×
      ptr-chase
      21,672,156 80,405,575 3.71×
      spinmem
      316.79 619.7 1.96×
      stream
      34.64 2,037 58.81×
      vm
      39,157 291,319 7.44×

      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

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      ecs.vgn6i-m8-vws.2xlarge FAQs