ecs.g5ne.2xlarge by Alibaba Cloud

ecs.g5ne.2xlarge is a ecs.g5ne family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0992 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
5,860
(All-cores)
1,104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5ne.2xlarge
Description
ecs.g5ne family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g5ne
Hw Virt
Status
active
Observed At
2026-09-12T06:08:30.930482

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.1035 USD/h 0.45 USD/h
Manila (PH) / ap-southeast-6
0.0992 USD/h 0.522 USD/h
London (GB) / eu-west-1
0.1155 USD/h 0.55 USD/h
Singapore (SG) / ap-southeast-1
0.1218 USD/h 0.58 USD/h
Hong Kong (HK) / cn-hongkong
0.1334 USD/h 0.58 USD/h
Frankfurt (DE) / eu-central-1
0.1334 USD/h 0.58 USD/h
Jakarta (ID) / ap-southeast-5
- 0.58 USD/h
Silicon Valley (US) / us-west-1
0.1364 USD/h 0.593 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1146 USD/h 0.603 USD/h
Hohhot (CN) / cn-huhehaote
0.1389 USD/h 0.604 USD/h
Tokyo (JP) / ap-northeast-1
0.1281 USD/h 0.61 USD/h
Beijing (CN) / cn-beijing
0.1407 USD/h 0.67 USD/h
Chengdu (CN) / cn-chengdu
0.1273 USD/h 0.67 USD/h
Heyuan (CN) / cn-heyuan
0.1273 USD/h 0.67 USD/h
Qingdao (CN) / cn-qingdao
0.1407 USD/h 0.67 USD/h
Shanghai (CN) / cn-shanghai
0.1273 USD/h 0.67 USD/h
Guangzhou (CN) / cn-guangzhou
0.1541 USD/h 0.67 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.67 USD/h
Nanjing (CN) / cn-nanjing
- 0.67 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.67 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
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
      3.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose instance offering balanced memory and compute resources for stable, lightweight utility and web serving workloads.

      General Purpose

      Alibaba Cloud ecs.g5ne.2xlarge is a general-purpose instance featuring 8 dedicated Intel Xeon 8163 vCPUs running at 2.5 GHz on the x86_64 architecture, paired with 32.0 GB of RAM. It operates on the KVM hypervisor, lacks local storage and GPU accelerators, and provides a baseline network bandwidth of 4 Gbps. Benchmark results indicate that the instance generally performs in the bottom 25% for single-core and multi-core CPU tasks, memory read bandwidth, and database operations. However, it maintains average performance in PassMark CPU scores and large-block memory write bandwidth. Given these performance characteristics, the ecs.g5ne.2xlarge is best suited for stable, non-intensive workloads such as lightweight web serving, small application hosting, and basic utility tasks where dedicated CPU resources are required without the need for high-speed local storage or advanced computational capabilities.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.325Score
      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) 463,275 ops/sec 1,917,397 ops/sec 0.242 50.00% 50.00% -50.80%
      Redis RPS (pipeline=16, SET) 3,411,611 ops/sec 11,681,410 ops/sec 0.292 20.00% 20.00% -21.80%
      PassMark Memory Mark (composite) 1,632 2,418 0.675 10.00% 10.00% -3.85%
      Memory bandwidth (read, 16 MB ~ L3) 42,034 MB/sec 108,140 MB/sec 0.389 10.00% 10.00% -9.01%
      PassMark single-thread CPU 1,677 Mops/s 2,365 Mops/s 0.709 10.00% 10.00% -3.38%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 935

      Geekbench Multi-Core

      Score: 3,539

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 6969
      Compression
      		 90273
      Encryption
      		 2715
      Extended Instructions
      		 6023
      Floating Point Maths
      		 10525
      Integer Maths
      		 19598
      Physics
      		 748
      Prime Numbers
      		 44
      Single Threaded
      		 1677
      String Sorting
      		 12198

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1632
      Database Operations
      		 2157
      Memory Latency
      		 78
      Memory Read Cached
      		 19475
      Memory Read Uncached
      		 6149
      Memory Write
      		 6523

      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.g5ne.large 28 GiB0
      ecs.g5ne.xlarge 416 GiB0
      ecs.g5ne.4xlarge 1664 GiB0
      ecs.g5ne.8xlarge 32128 GiB0
      ecs.g5ne.16xlarge 64256 GiB0
      ecs.g5ne.18xlarge 72288 GiB0

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      ecs.g5ne.2xlarge FAQs