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ecs.sgn7i-vws-m8s.4xlarge by Alibaba Cloud

ecs.sgn7i-vws-m8s.4xlarge is a ecs.sgn7i-vws family (16 vCPUs, 32 GiB RAM, 0 GB storage, 0.3333xA10 8192 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1237 USD per hour.
16 vCPU
32 GiB Memory
0.3333 GPU
Spare SCore
28121
(All-cores)
1904
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sgn7i-vws-m8s.4xlarge
Description
ecs.sgn7i-vws family (16 vCPUs, 32 GiB RAM, 0 GB storage, 0.3333xA10 8192 GiB VRAM)
Family
ecs.sgn7i-vws
Hw Virt
Status
active
Observed At
2026-07-25T11:49:34.996409

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.824 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.824 USD/h
Hangzhou (CN) / cn-hangzhou
0.1237 USD/h 0.825 USD/h
Shanghai (CN) / cn-shanghai
- 0.826 USD/h
Chengdu (CN) / cn-chengdu
- 0.831 USD/h
Frankfurt (DE) / eu-central-1
- 1.1817 USD/h
Hong Kong (HK) / cn-hongkong
- 1.2039 USD/h
Singapore (SG) / ap-southeast-1
0.1964 USD/h 1.3092 USD/h
Tokyo (JP) / ap-northeast-1
0.26265 USD/h 1.3133 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
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, 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
14.8
Scalability
92.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0.3333
GPU Memory Min
8 GiB
GPU Memory Total
8 GiB
GPU Model
A10
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated Intel Xeon compute instance featuring fractional GPU acceleration and balanced memory for lightweight machine learning and virtual workstation workloads.

      GPU AcceleratedCompute Optimized

      Alibaba Cloud ecs.sgn7i-vws-m8s.4xlarge is an x86_64 server featuring 16 dedicated Intel Xeon 8369B CPU cores at 2.9 GHz, 32.0 GB of RAM, and a fractional NVIDIA A10 GPU with 8 GB of VRAM. Lacking local storage, it relies on network storage over a 5 Gbps baseline network. Benchmarks show a Geekbench multi-core score of 12813.0 and a stress-ng multi-core score of 28120.76. For AI workloads, it achieves 1154.59 tokens/sec prompt processing on a 135M model and 32.25 tokens/sec on a 7B model. The 2:1 RAM-to-vCPU ratio and fractional GPU make this instance a cost-efficient option for workloads requiring moderate GPU acceleration without the cost of a full GPU. It is suited for lightweight machine learning inference, virtual workstations, and moderate parallel compute tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.48Score
      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) 3,414,790 ops/sec 1,896,415 ops/sec 1.8 50.00% 50.00% +34.20%
      Redis RPS (pipeline=16, SET) 17,369,576 ops/sec 11,539,523 ops/sec 1.51 20.00% 20.00% +8.59%
      PassMark Memory Mark (composite) 2,430 2,411 1.01 10.00% 10.00% +0.10%
      Memory bandwidth (read, 16 MB ~ L3) 124,257 MB/sec 107,368 MB/sec 1.16 10.00% 10.00% +1.50%
      PassMark single-thread CPU 2,360 Mops/s 2,363 Mops/s 0.999 10.00% 10.00% -0.01%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,590

      Geekbench Multi-Core

      Score: 12,813

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29574
      Compression
      		 344873
      Encryption
      		 18311
      Extended Instructions
      		 28985
      Floating Point Maths
      		 65496
      Integer Maths
      		 83871
      Physics
      		 2906
      Prime Numbers
      		 237
      Single Threaded
      		 2360
      String Sorting
      		 46127

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2430
      Database Operations
      		 7038
      Memory Latency
      		 59
      Memory Read Cached
      		 24192
      Memory Read Uncached
      		 11200
      Memory Write
      		 11307

      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-m2.xlarge 416 GiB1⁄12
      ecs.sgn7i-vws-m4s.2xlarge 816 GiB⅙
      ecs.sgn7i-vws-m4.2xlarge 831 GiB⅙
      ecs.sgn7i-vws-m8.4xlarge 1662 GiB⅓

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      ecs.sgn7i-vws-m8s.4xlarge FAQs