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ecs.se1ne.xlarge by Alibaba Cloud

ecs.se1ne.xlarge is a ecs.se1ne family (4 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0496 USD per hour.
4 vCPU
32 GiB Memory
Spare SCore
2932
(All-cores)
1106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.se1ne.xlarge
Description
ecs.se1ne family (4 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.se1ne
Hw Virt
Status
active
Observed At
2026-08-11T00:23:55.477274

Availability

REGION / IDSPOTONDEMAND
Singapore (SG) / ap-southeast-1
0.0496 USD/h 0.331 USD/h
Hong Kong (HK) / cn-hongkong
- 0.331 USD/h
Shanghai (CN) / cn-shanghai
0.0702 USD/h 0.39 USD/h
Beijing (CN) / cn-beijing
- 0.39 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.39 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.39 USD/h
Dubai (AE) / me-east-1
0.0599 USD/h 0.399 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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
2.7
Scalability
67.5

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
      1.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring a high memory-to-vCPU ratio for memory-intensive workloads with moderate compute requirements.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.se1ne.xlarge is a memory-optimized instance featuring 4 dedicated vCPUs powered by an Intel Xeon 8269CY processor running at 2.5 GHz. Equipped with 32.0 GB of RAM, it offers a high memory-to-vCPU ratio of 8.0 GB per core, though it lacks local storage and GPU accelerators. Performance benchmarks place this instance in the lower tiers, with a Geekbench single-core score of 920.0 and a multi-core score of 1996.0. Memory bandwidth is similarly limited, with large-block read speeds of 19.6 GB/sec. Consequently, the instance is best suited for memory-intensive applications with low CPU demands, such as caching systems, small database deployments, or memory-heavy general-purpose workloads that benefit from its high resource density without requiring high-performance computing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.188Score
      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) 231,788 ops/sec 1,910,660 ops/sec 0.121 50.00% 50.00% -65.20%
      Redis RPS (pipeline=16, SET) 1,636,973 ops/sec 11,608,287 ops/sec 0.141 20.00% 20.00% -32.40%
      PassMark Memory Mark (composite) 1,513 2,416 0.626 10.00% 10.00% -4.58%
      Memory bandwidth (read, 16 MB ~ L3) 25,565 MB/sec 107,896 MB/sec 0.237 10.00% 10.00% -13.40%
      PassMark single-thread CPU 1,677 Mops/s 2,364 Mops/s 0.709 10.00% 10.00% -3.38%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 920

      Geekbench Multi-Core

      Score: 1,996

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3601
      Compression
      		 45975
      Encryption
      		 1356
      Extended Instructions
      		 2951
      Floating Point Maths
      		 5263
      Integer Maths
      		 9798
      Physics
      		 458
      Prime Numbers
      		 21
      Single Threaded
      		 1677
      String Sorting
      		 6062

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1513
      Database Operations
      		 1079
      Memory Latency
      		 78
      Memory Read Cached
      		 19294
      Memory Read Uncached
      		 6411
      Memory Write
      		 6718

      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.se1ne.large 216 GiB0
      ecs.se1ne.2xlarge 864 GiB0
      ecs.se1ne.3xlarge 1296 GiB0
      ecs.se1ne.4xlarge 16128 GiB0
      ecs.se1ne.6xlarge 24192 GiB0
      ecs.se1ne.8xlarge 32256 GiB0
      ecs.se1ne.14xlarge 56480 GiB0

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      ecs.se1ne.xlarge FAQs