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ecs.sn1ne.4xlarge by Alibaba Cloud

ecs.sn1ne.4xlarge is a ecs.sn1ne family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1154 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
11776
(All-cores)
1109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.4xlarge
Description
ecs.sn1ne family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-07-30T22:52:07.292077

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.793 USD/h
Jakarta (ID) / ap-southeast-5
0.1154 USD/h 0.824 USD/h
Singapore (SG) / ap-southeast-1
- 0.824 USD/h
Beijing (CN) / cn-beijing
- 0.86 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.86 USD/h
Shanghai (CN) / cn-shanghai
- 0.86 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.86 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
10.6
Scalability
66.25

System Resources and Accelerators

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

      CPU and System Topology

      Server Description

      A dedicated 16-core Intel Xeon instance with a 1:2 compute-to-memory ratio, optimized for stable multi-threaded workloads and web serving.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.4xlarge is an x86_64 compute-optimized server instance featuring 16 dedicated physical cores powered by an Intel Xeon E5-2682v4 processor at 2.5 GHz. It is configured with 32.0 GB of RAM, yielding 2.0 GB per core, and lacks local storage and GPU accelerators. Operating on the KVM hypervisor, it provides a baseline network bandwidth of 3 Gbps. Performance benchmarks indicate weak single-core execution, with Geekbench and stress-ng single-core scores in the bottom 10% to 25%. Conversely, multi-core performance, memory bandwidth, and static web serving throughput consistently reach average tiers. This resource profile is suitable for multi-threaded workloads such as software compilation, static web serving, and Redis operations where dedicated CPU allocation is required but extreme single-core speed is not critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.568Score
      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) 916,057 ops/sec 1,896,415 ops/sec 0.483 50.00% 50.00% -30.50%
      Redis RPS (pipeline=16, SET) 6,713,245 ops/sec 11,539,523 ops/sec 0.582 20.00% 20.00% -10.30%
      PassMark Memory Mark (composite) 1,783 2,411 0.74 10.00% 10.00% -2.97%
      Memory bandwidth (read, 16 MB ~ L3) 79,302 MB/sec 107,368 MB/sec 0.739 10.00% 10.00% -2.98%
      PassMark single-thread CPU 1,691 Mops/s 2,363 Mops/s 0.716 10.00% 10.00% -3.29%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 930

      Geekbench Multi-Core

      Score: 5,741

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13034
      Compression
      		 181043
      Encryption
      		 5445
      Extended Instructions
      		 12292
      Floating Point Maths
      		 21132
      Integer Maths
      		 39358
      Physics
      		 1295
      Prime Numbers
      		 68
      Single Threaded
      		 1691
      String Sorting
      		 23922

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1783
      Database Operations
      		 4343
      Memory Latency
      		 77
      Memory Read Cached
      		 19442
      Memory Read Uncached
      		 6836
      Memory Write
      		 7039

      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.sn1ne.large 24 GiB0
      ecs.sn1ne.xlarge 48 GiB0
      ecs.sn1ne.2xlarge 816 GiB0
      ecs.sn1ne.3xlarge 1224 GiB0
      ecs.sn1ne.6xlarge 2448 GiB0
      ecs.sn1ne.8xlarge 3264 GiB0

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      ecs.sn1ne.4xlarge FAQs