logo

ecs.sgn7i-vws-m2.xlarge by Alibaba Cloud

ecs.sgn7i-vws-m2.xlarge is a ecs.sgn7i-vws family (4 vCPUs, 15 GiB RAM, 0 GB storage, 0.0833xA10 2048 GiB VRAM) server offered by Alibaba Cloud with 4 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0414 USD per hour.
4 vCPU
16 GiB Memory
0.0833 GPU
Spare SCore
7176
(All-cores)
1904
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sgn7i-vws-m2.xlarge
Description
ecs.sgn7i-vws family (4 vCPUs, 15 GiB RAM, 0 GB storage, 0.0833xA10 2048 GiB VRAM)
Family
ecs.sgn7i-vws
Hw Virt
Status
active
Observed At
2026-08-08T07:07:12.559370

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
- 0.2757 USD/h
Chengdu (CN) / cn-chengdu
0.0414 USD/h 0.2761 USD/h
Beijing (CN) / cn-beijing
- 0.2766 USD/h
Shanghai (CN) / cn-shanghai
0.0417 USD/h 0.2778 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.28 USD/h
Frankfurt (DE) / eu-central-1
0.0443 USD/h 0.2954 USD/h
Hong Kong (HK) / cn-hongkong
- 0.3595 USD/h
Singapore (SG) / ap-southeast-1
- 0.3891 USD/h
Tokyo (JP) / ap-northeast-1
0.07845 USD/h 0.3922 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
96 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
3 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, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pdcm, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, ssbd, ibrs, ibpb, stibp, 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, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
3.8
Scalability
95

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0.0833
GPU Memory Min
2 GiB
GPU Memory Total
2 GiB
GPU Model
A10
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.5 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 A10 GPU acceleration for lightweight visual and compute workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.sgn7i-vws-m2.xlarge is a KVM-based virtual server configured with 4 dedicated Intel Xeon 8369B vCPUs operating at 2.9 GHz, 16.0 GB of RAM, and a fractional NVIDIA A10 GPU providing 2 GB of VRAM. Lacking local storage, it relies on network-attached storage and features a 2 Gbps baseline network bandwidth. Benchmark data indicates average CPU performance, with a Geekbench multi-core score of 5066.0 and a stress-ng multi-core score of 7176.28. However, memory bandwidth and database operations are relatively weak. The fractional GPU makes this instance a cost-efficient choice for entry-level GPU-accelerated tasks, such as lightweight virtual workstations, basic image processing, and small-scale language model inference, while avoiding the higher cost of a full dedicated GPU.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.551Score
      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) 955,545 ops/sec 1,910,660 ops/sec 0.5 50.00% 50.00% -29.30%
      Redis RPS (pipeline=16, SET) 5,236,058 ops/sec 11,608,287 ops/sec 0.451 20.00% 20.00% -14.70%
      PassMark Memory Mark (composite) 1,651 2,416 0.683 10.00% 10.00% -3.74%
      Memory bandwidth (read, 16 MB ~ L3) 63,337 MB/sec 107,896 MB/sec 0.587 10.00% 10.00% -5.19%
      PassMark single-thread CPU 2,388 Mops/s 2,364 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,554

      Geekbench Multi-Core

      Score: 5,066

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8794
      Compression
      		 89704
      Encryption
      		 4654
      Extended Instructions
      		 7075
      Floating Point Maths
      		 16475
      Integer Maths
      		 20982
      Physics
      		 1107
      Prime Numbers
      		 64
      Single Threaded
      		 2388
      String Sorting
      		 12347

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1651
      Database Operations
      		 2056
      Memory Latency
      		 57
      Memory Read Cached
      		 24326
      Memory Read Uncached
      		 11698
      Memory Write
      		 11145

      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

      INSTANCEvCPUsMEMORYGPUs
      ecs.sgn7i-vws-m2s.xlarge 48 GiB1⁄12
      ecs.sgn7i-vws-m4s.2xlarge 816 GiB⅙
      ecs.sgn7i-vws-m4.2xlarge 831 GiB⅙
      ecs.sgn7i-vws-m8s.4xlarge 1632 GiB⅓
      ecs.sgn7i-vws-m8.4xlarge 1662 GiB⅓

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      ecs.sgn7i-vws-m2.xlarge FAQs