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ecs.sn1ne.large by Alibaba Cloud

ecs.sn1ne.large is a ecs.sn1ne family (2 vCPUs, 4 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 4 GiB of memory and 0 GB of storage. The pricing starts at 0.0055 USD per hour.
2 vCPU
4 GiB Memory
Spare SCore
1457
(All-cores)
1098
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.large
Description
ecs.sn1ne family (2 vCPUs, 4 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-08-07T22:27:34.127918

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.098 USD/h
Singapore (SG) / ap-southeast-1
0.0141 USD/h 0.101 USD/h
Jakarta (ID) / ap-southeast-5
0.0141 USD/h 0.101 USD/h
Shenzhen (CN) / cn-shenzhen
0.0055 USD/h 0.11 USD/h
Shanghai (CN) / cn-shanghai
0.0154 USD/h 0.11 USD/h
Beijing (CN) / cn-beijing
- 0.11 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.11 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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
1.3
Scalability
65

System Resources and Accelerators

MEMORY
Memory Amount
4 GiB
Memory Amount Actual
4 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
      1 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated dual-core compute instance with a balanced 1:2 memory-to-CPU ratio for predictable, entry-level utility workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.large is an entry-level, compute-optimized instance featuring 2 dedicated vCPUs and 4.0 GB of RAM on an x86_64 architecture. Powered by a 2.5 GHz Intel Xeon E5-2682v4 processor under the KVM hypervisor, it provides a 1:2 memory-to-vCPU ratio and a baseline network bandwidth of 1 Gbps, with no local storage included. Performance benchmarks place this instance in the lower percentiles, with a stress-ng single-core score of 1098.39 and a Geekbench multi-core score of 1096.0. The dedicated CPU allocation ensures consistent performance without resource contention, though the older processor architecture limits overall throughput. This instance is best suited for lightweight workloads such as basic static web serving, small-scale Redis operations, and simple utility tasks that require dedicated but modest computational resources.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.104Score
      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) 111,048 ops/sec 1,910,660 ops/sec 0.0581 50.00% 50.00% -75.90%
      Redis RPS (pipeline=16, SET) 819,733 ops/sec 11,608,287 ops/sec 0.0706 20.00% 20.00% -41.10%
      PassMark Memory Mark (composite) 933 2,416 0.386 10.00% 10.00% -9.08%
      Memory bandwidth (read, 16 MB ~ L3) 18,751 MB/sec 107,896 MB/sec 0.174 10.00% 10.00% -16.00%
      PassMark single-thread CPU 1,593 Mops/s 2,364 Mops/s 0.674 10.00% 10.00% -3.87%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 923

      Geekbench Multi-Core

      Score: 1,096

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 1819
      Compression
      		 22638
      Encryption
      		 671
      Extended Instructions
      		 1436
      Floating Point Maths
      		 2617
      Integer Maths
      		 4862
      Physics
      		 231
      Prime Numbers
      		 12
      Single Threaded
      		 1593
      String Sorting
      		 3017

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 933
      Database Operations
      		 543
      Memory Latency
      		 78
      Memory Read Cached
      		 19015
      Memory Read Uncached
      		 7099
      Memory Write
      		 7397

      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.xlarge 48 GiB0
      ecs.sn1ne.2xlarge 816 GiB0
      ecs.sn1ne.3xlarge 1224 GiB0
      ecs.sn1ne.4xlarge 1632 GiB0
      ecs.sn1ne.6xlarge 2448 GiB0
      ecs.sn1ne.8xlarge 3264 GiB0

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      ecs.sn1ne.large FAQs