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ecs.sgn7i-vws-m8.4xlarge by Alibaba Cloud

ecs.sgn7i-vws-m8.4xlarge is a ecs.sgn7i-vws family (16 vCPUs, 62 GiB RAM, 0 GB storage, 0.3333xA10 8192 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 62 GiB of memory and 0 GB of storage. The pricing starts at 0.197 USD per hour.
16 vCPU
62 GiB Memory
0.3333 GPU
Spare SCore
28617
(All-cores)
1898
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sgn7i-vws-m8.4xlarge
Description
ecs.sgn7i-vws family (16 vCPUs, 62 GiB RAM, 0 GB storage, 0.3333xA10 8192 GiB VRAM)
Family
ecs.sgn7i-vws
Hw Virt
Status
active
Observed At
2026-07-25T09:27:31.387958

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.8296 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.83 USD/h
Chengdu (CN) / cn-chengdu
- 0.8311 USD/h
Shanghai (CN) / cn-shanghai
- 0.8319 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8338 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
- 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
15.1
Scalability
94.38

System Resources and Accelerators

MEMORY
Memory Amount
62 GiB
Memory Amount Actual
62 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 GPU-accelerated virtual workstation instance featuring dedicated Intel Xeon cores and fractional NVIDIA A10 graphics for balanced visual and compute workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.sgn7i-vws-m8.4xlarge is a KVM-based, GPU-accelerated instance designed for virtual workstation and moderate compute workloads. It features an Intel Xeon 8369B processor with 16 dedicated x86_64 physical cores running at 2.9 GHz, paired with 62.0 GB of system memory. The instance integrates a fractional NVIDIA A10 GPU providing 8 GB of VRAM, though it lacks local storage and relies on a 5 Gbps baseline network bandwidth. Benchmark results show solid mid-range performance, with a Passmark CPU score of 29217.88 and a Geekbench ray tracing score of 25626.0. It processes small 135M LLM prompts at 1278.81 tokens/sec and 7B models at 32.87 tokens/sec. This configuration offers a cost-effective entry point for GPU-accelerated tasks, making it highly suitable for virtual desktop hosting, image processing, and lightweight machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.49Score
      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) 3,851,639 ops/sec 1,896,415 ops/sec 2.03 50.00% 50.00% +42.50%
      Redis RPS (pipeline=16, SET) 18,057,158 ops/sec 11,539,523 ops/sec 1.56 20.00% 20.00% +9.30%
      PassMark Memory Mark (composite) 2,255 2,411 0.935 10.00% 10.00% -0.67%
      Memory bandwidth (read, 16 MB ~ L3) 70,316 MB/sec 107,368 MB/sec 0.655 10.00% 10.00% -4.14%
      PassMark single-thread CPU 2,381 Mops/s 2,363 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,587

      Geekbench Multi-Core

      Score: 12,885

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29218
      Compression
      		 328050
      Encryption
      		 18020
      Extended Instructions
      		 29354
      Floating Point Maths
      		 64424
      Integer Maths
      		 83721
      Physics
      		 3044
      Prime Numbers
      		 197
      Single Threaded
      		 2381
      String Sorting
      		 46932

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2255
      Database Operations
      		 7791
      Memory Latency
      		 75
      Memory Read Cached
      		 23547
      Memory Read Uncached
      		 11531
      Memory Write
      		 11085

      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-m8s.4xlarge 1632 GiB⅓

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      ecs.sgn7i-vws-m8.4xlarge FAQs